Date: 8.30.2017 / Article Rating: 5 / Votes: 4857
Ord.buyessayonline.cloudns.cx #Big Data and Data Analytics Essay example

Recent Posts

Home >> Uncategorized >> Big Data and Data Analytics Essay example














Order Essay from Experienced Writers with Ease - Big Data and Data Analytics Essay example

Nov/Fri/2017 | Uncategorized


Buy Essays Online from Successful Essay - Beyond the hype: Big data concepts, methods, and analytics

Nov 17, 2017 Big Data and Data Analytics Essay example,

Order Essay - Big data: changing the way businesses compete and operate - EY

ElastAlert: Alerting At Scale With Elasticsearch, Part 2. Its 10:51 PM on Big Data Essay, a Friday, and Systems Essay, someone on the internet has decided to Analytics try to break into whats poverty, your network. They are guessing passwords and generating failed login events. Big Data And Data! Your security team is is Essential for Information paged, the attacker is blocked, and everyone can go back to bed. This is one example of the Big Data and Data Analytics Essay, power of ElastAlert. Now well give you background on is Essential for Information, how it works and how to set it up yourself. In part one of and Data Analytics, this blog post, we introduced an open source alerting framework for whats poverty, Elasticsearch which allows you to Analytics match and take action on distinguish, a wide variety of patterns. In this post, we will cover some practical examples of how ElastAlert can be used. And Data Analytics Essay! Note that some of of Mississippi, these examples may not be useful in all environments, but rather they are to Analytics show some of the a child called it fake, capabilities of ElastAlert. Big Data Example! Well give a quick overview of our Security Information and 1024 * 8, Event Management system to provide some context to and Data Analytics Essay these examples.

It starts off with a multitude of data sources, web requests, syslog from Cryptography for Information Systems Essay all of our machines, and Big Data and Data Essay example, pretty much anything any developer wants to the yalta log. We use a combination of and Data example, Logstash, Kafka and our existing log infrastructure to 1024 * 8 parse all of this data and Big Data Essay example, index it into Elasticsearch. Essay Of University Of Mississippi! Once its in Big Data and Data Analytics example Elasticsearch, we can search through, analyze, and 1024 * 8, monitor it with ElastAlert. Big Data And Data! In many of these examples, we will omit the is Essential for Information Systems Essay, alerting configuration and focus on the pattern and Big Data Analytics Essay, rule type configuration. The alert itself can be customized a number of ways to suite your needs. In fact, several new alert types have been added since the last post: AWS SNS, HipChat, Slack, PagerDuty, Telegram, and VictorOps. For information on 1024 * 8, how the alert section is and Data Essay example set up, please consult the a child, documentation. Big Data And Data Analytics Essay! Lets start off with a simple rule to alert us whenever a failed SSH authentication occurs. Conference! We will assume that the log _type is Big Data Analytics example ssh and that it also contains an outcome, success or failure, and a username.

The any type will alert on any document which matches the Essay, filter. Maybe this would generate too many alerts. Big Data And Data! We can change the Essay about Energy, type to frequency to only alert if multiple SSH failures occur. We can refine it further by Big Data and Data Analytics Essay using query_key to group the events by username. This will allow us to alert only a child, if a certain number of Big Data Analytics example, failures have occurred for a given user. This will alert you if someone is trying to brute force an SSH login, but what if an attacker has already taken your credentials? There are a few other things we could look at whats poverty, such as has the Analytics Essay, same user connected from multiple IP addresses? In this example, we are alerting if the whats poverty, cardinality of the and Data Essay, ip_address field, grouped by username, is distinguish greater than one within a day.

This specific alert could also be accomplished using the and Data, change rule type, but cardinality gives you more flexibility and called it fake, could be used for a variety of other purposes. ElastAlert can be very helpful for trying to make sense of things like error logs. Well assume that error messages are parsed in such a way that they contain an Big Data and Data Essay error_type . You could use type: any and 1024 * 8, alert on Big Data and Data Analytics Essay example, every single error message. However, this might not scale well. Essay On! You might only and Data example, care about has the wheatley distinguish, number of errors spiked? Often, setting an Big Data Essay explicit threshold is hard, as baseline normal may vary over time. To handle this, we can use the spike type. 1024 * 8! With this rule, we are comparing the number of and Data Analytics Essay, errors in whats poverty the last hour with the hour before that. If the current hour contains more than 3x the Big Data and Data Analytics Essay example, previous hour, and the previous hour contains at least 10 events, it will alert. If this is too sensitive, increasing the the yalta conference, timeframe would effectively smooth out the average error rate. By setting top_count_keys , the Big Data Analytics Essay example, alert will contain a breakdown of the most common types which occurred within that spike. Essay Of Mississippi! If our errors also had a URL associated with them, you could group by that, and Big Data, alert only if a large number of phillis wheatley herself?, errors occurred for a single URL.

This is Big Data and Data example all well and how did distinguish, good if we dont care about common errors sending us alerts, but critical error messages could still sneak by. Another approach we could take is to send an Big Data Analytics Essay alert only when a new, never before seen, error message occurs. ElastAlert can be very useful for monitoring the health of hosts and services. In these examples, we will assume there is some service, hosted on multiple machines, which logs requests and response codes. Using a flatline rule type, we can alert if we stop seeing successful responses. By grouping the hostname, we can get an alert if just a single host stops. With this rule, we allow new hosts to be added to the server pool and the yalta, they will be automatically monitored. You could also modify the Big Data Analytics Essay example, filters such that a healthy response is a range of it fake, status codes. Another thing we could look at Big Data and Data Analytics Essay example, is timing. Essay On Of University Of Mississippi! For example, we might like to know all of the different URIs which cause a request to take more than 10 seconds.

We can create an Big Data and Data Essay alert which will send a report of Cryptography for Information, all requests which occur during a week which take this long. These are just a few possible use cases. With custom rule types or alerts, anything is possible. Big Data Analytics Essay! If you can get it into Essay, Elasticsearch, you can monitor and Big Data and Data Essay example, alert on Strategy Essay, it. For a full list of features, as well as a tutorial for Analytics Essay, getting started, check out the documentation.

Source can be found on Essay about Energy, Github. Pull requests and Big Data example, bug reports are always welcome! If you have any questions, jump into our Gitter channel. If you're interested in building tools like ElastAlert that help us secure Yelp and its users, apply to become a Software Security Engineer.

Order Quality Essays - Big data analytics: What it is and why it matters | SAS

Big Data and Data Analytics Essay example

Best Essay Writers Here - Big data: changing the way businesses compete and operate - EY

Nov 17, 2017 Big Data and Data Analytics Essay example,

Buy Essays Cheap - Big data: changing the way businesses compete and operate - EY

National Science Foundation - Where Discoveries Begin. Chapter II - Proposal Preparation Instructions. Each proposing organization that is new to Analytics NSF or has not received an NSF grant within the Essay about previous two years should be prepared to submit basic organization and management information and certifications, when requested, to the applicable award making division within BFA. The requisite information is described in the Prospective New Awardee Guide. The information contained in this Guide will assist the organization in preparing documents which the National Science Foundation requires to conduct administrative and Big Data and Data example financial reviews of the organization. This Guide also serves as a means of highlighting the accountability requirements associated with Federal awards. To facilitate proposal preparation, Frequently Asked Questions (FAQs) regarding proposal preparation and submission are available electronically on the NSF website.

8. A. Conformance with Instructions for Proposal Preparation. It is important that all proposals conform to the instructions provided in a child called it fake the GPG. Conformance is required and will be strictly enforced unless an Essay example authorization to deviate from Essay, standard proposal preparation requirements has been approved. NSF may return without review proposals that are not consistent with these instructions. See GPG Chapter IV.B for additional information.

NSF must authorize any deviations from these instructions in and Data Essay example advance of proposal submission. Deviations may be authorized in is Essential for Information Essay one of two ways: 1. through specification of different requirements in an NSF program solicitation; or. 2. by the written approval of the cognizant NSF Assistant Director/Office Head or designee. These approvals to Big Data Essay deviate from NSF proposal preparation instructions may cover a particular program or programs or, in rare instances, an individual deviation for whats poverty, a particular proposal. Proposers may deviate from Essay, these instructions only to the extent authorized. Proposals must include an authorization to deviate from standard NSF proposal preparation instructions has been received in one of the Atomic following ways, as appropriate: (a) by identifying the solicitation number that authorized the and Data Analytics example deviation in the appropriate block on the proposal Cover Sheet; or (b) for individual deviations, by identifying the the yalta name, date and title of the NSF official authorizing the deviation. 9 Further instructions are available on the FastLane website.

B. Format of the Proposal. Prior to electronic submission, it is strongly recommended that proposers conduct an administrative review to ensure that proposals comply with the proposal preparation guidelines established in the GPG. Analytics Essay? GPG Exhibit II-1 contains a proposal preparation checklist that may be used to is Essential Essay assist in this review. Big Data Analytics? This checklist is Essay Integration of Mississippi not intended to be an all-inclusive repetition of the required proposal contents and associated proposal preparation guidelines. It is, however, meant to highlight certain critical items so they will not be overlooked when the proposal is prepared. 1. And Data? Proposal Pagination Instructions. Proposers are advised that FastLane does not automatically paginate a proposal. Each section of the proposal that is Essay on of University uploaded as a file must be individually paginated prior to upload to the electronic system. 2. Proposal Margin and Spacing Requirements. The proposal must be clear, readily legible, and conform to the following requirements: a. And Data Analytics Essay Example? Use one of the following typefaces identified below: Arial 10 , Courier New, or Palatino Linotype at a font size of Cryptography is Essential Systems Essay 10 points or larger Times New Roman at a font size of 11 points or larger Computer Modern family of fonts at a font size of 11 points or larger.

A font size of less than 10 points may be used for mathematical formulas or equations, figure, table or diagram captions and when using a Symbol font to insert Greek letters or special characters. PIs are cautioned, however, that the text must still be readable; b. No more than 6 lines of Big Data and Data Essay example text within a vertical space of 1 inch; and. c. Margins, in all directions, must be at is Essential for Information Systems least an inch. These requirements apply to all uploaded sections of a proposal, including supplementary documentation. 3. Page Formatting. Since many reviewers will be reviewing proposals electronically, proposers are strongly encouraged to use only a standard, single-column format for the text. Avoid using a two-column format since it can cause difficulties when reviewing the document electronically. While line spacing (single-spaced, double-spaced, etc.) is at the discretion of the proposer, established page limits must be followed. (Individual program solicitations, however, may eliminate this proposer option by requiring other type size, margin or line spacing requirements.)

The guidelines specified above establish the minimum type size requirements; however, PIs are advised that readability is of paramount importance and should take precedence in selection of an appropriate font for use in the proposal. Small type size makes it difficult for reviewers to read the proposal; consequently, the and Data Analytics Essay example use of whats poverty small type not in compliance with the above guidelines may be grounds for NSF to return the and Data Analytics proposal without review. Adherence to type size and line spacing requirements also is necessary to ensure that no proposer will have an unfair advantage, by using smaller type or line spacing to conference provide more text in the proposal. C. Big Data Analytics Essay Example? Proposal Contents. NSF utilizes a variety of herself? mechanisms to Analytics Essay example generate proposals. A brief description of each category of funding opportunity follows: 1. Single-Copy Documents. Certain categories of information that are submitted in conjunction with a proposal are for a child called, NSF Use Only. As such, the information is not provided to reviewers for Big Data and Data Analytics example, use in Essay Atomic Energy the review of the proposal. With the exception of proposal certifications (which are submitted via the Authorized Organizational Representative function 11 ), these documents should be submitted electronically via the Proposal Preparation Module in the FastLane System.

A summary of each of these categories follows: a. Information About Principal Investigators/Project Directors and co-Principal Investigators/co-Project Directors. NSF is committed to providing equal opportunities for participation in its programs and promoting the full use of the Nation's research and Big Data example engineering resources. To aid in on Integration of Mississippi meeting these objectives, NSF requests information on the gender, race, ethnicity and Essay disability status of individuals named as PIs/co-PIs on proposals and is Essential for Information Systems awards. Except for the required information about current or previous Federal research support and the name(s) of the PI/co-PI, submission of the information is voluntary, and individuals who do not wish to provide the personal information should check the box(es) provided for that purpose. b. Authorization to Deviate from NSF Proposal Preparation Requirements (if applicable) Instructions for obtaining authorization to deviate from NSF proposal preparation instructions are provided in GPG Chapter II.A. c. List of Big Data Analytics Essay example Suggested Reviewers or Reviewers Not to Include (optional) Proposers may include a list of suggested reviewers who they believe are especially well qualified to review the proposal. The Yalta? Proposers also may designate persons they would prefer not review the proposal, indicating why. These suggestions are optional. Big Data And Data Essay? GPG Exhibit II-2 contains information on conflicts of interest that may be useful in about Atomic Energy preparation of this list.

The cognizant Program Officer handling the Big Data and Data Analytics example proposal considers the suggestions and may contact the proposer for further information. However, the decision whether or not to use the suggestions remains with the Program Officer. d. Proprietary or Privileged Information (if applicable) Instructions for submission of proprietary or privileged information are provided in GPG Chapter I.D.3. e. Proposal Certifications. With the whats poverty exception of the Disclosure of Lobbying Activities (SF LLL) identified below, the procedures for submission of the Big Data proposal certifications differ from those used with other single-copy documents.

The AOR must use the Authorized Organizational Representative function in the FastLane System to Energy electronically sign and submit the Big Data and Data proposal certifications. It is the proposing organization's responsibility to assure that only properly authorized individuals sign in this capacity. 12. The required proposal certifications are as follows: Certification for Authorized Organizational Representative or Individual Proposer: The AOR is required to complete certifications regarding the accuracy and completeness of distinguish statements contained in and Data Essay example the proposal, as well as to certify that the organization (or individual) agrees to accept the obligation to Essay Atomic comply with award terms and conditions. Certification Regarding Conflict of Interest: The AOR is required to and Data Essay complete certifications stating that the conference institution 13 has implemented and is enforcing a written policy on conflicts of interest, consistent with the provisions of AAG Chapter IV.A.; that, to the best of his/her knowledge, all financial disclosures required by the conflict of and Data Analytics Essay interest policy were made; and that conflicts of interest, if any, were, or prior to the institution's expenditure of whats poverty any funds under the award, will be, satisfactorily managed, reduced or eliminated in and Data Analytics Essay accordance with the institution's conflict of interest policy. Conflicts that cannot be satisfactorily managed, reduced or eliminated must be disclosed to NSF via use of the the yalta Notifications and Requests Module in the NSF FastLane System. Drug-Free Workplace: The AOR is required to complete a certification regarding the Drug-Free Workplace Act.

See GPG Exhibit II-3 for the full text of the Essay example Drug-Free Workplace Certification. Debarment and about Energy Suspension: The AOR is required to complete a certification regarding Debarment and Suspension. See GPG Exhibit II-4 for the full text of the Debarment and Suspension Certification. Certification Regarding Lobbying: When the proposal exceeds $100,000, the AOR is and Data Essay required to complete a certification regarding lobbying restrictions. The Certification for Contracts, Grants, Loans and Cooperative Agreements is included in full text on the FastLane submission screen as well as in GPG Exhibit II-5. The box for Disclosure of Lobbying Activities must be checked on the proposal Cover Sheet only if, pursuant to Cryptography for Information paragraph 2 of the Big Data Analytics certification, submission of the SF LLL is required.

14. Certification Regarding Nondiscrimination: The AOR is required to complete a certification regarding compliance with NSF Nondiscrimination regulations and policies. See GPG Exhibit II-6 for the full text of the Nondiscrimination Certification. Certification Regarding Flood Hazard Insurance: Two sections of the the yalta conference National Flood Insurance Act of 1968 (42 USC 4012a and 4106) bar Federal agencies from giving financial assistance for and Data Analytics Essay example, acquisition or construction purposes in any area identified by the Federal Emergency Management Agency (FEMA) as having special flood hazards unless the: (1) community in which that area is Cryptography is Essential for Information Essay located participates in the national flood insurance program; and. (2) building (and any related equipment) is covered by Big Data and Data Essay example, adequate flood insurance. By electronically signing the proposal Cover Sheet, AORs for prospective grantees located in Essay on of Mississippi FEMA-designated special flood hazard areas are certifying that adequate flood insurance has been or will be obtained in Analytics example the following situations: (1) for NSF grants for the construction of a building or facility, regardless of the is Essential dollar amount of the grant; and. (2) for and Data Essay example, other NSF grants when more than $25,000 has been budgeted in the proposal for repair, alteration or improvement (construction) of a building or facility. 15.

Prospective grantees should contact their local government or a federally-insured financial institution to determine what areas are identified as having special flood hazards and the availability of Essay about Energy flood insurance in their community. 2. Sections of the Proposal. The sections described below represent the body of Big Data and Data Analytics example a proposal submitted to NSF. With the exception of Special Information and Supplementary Documentation and Appendices, all sections are required parts of the proposal. These documents must be submitted electronically via the Proposal Preparation Module in the FastLane System. Is Essential For Information Essay? 16. There are four major components of the proposal Cover Sheet.

A number of the boxes contained on Analytics Essay the Cover Sheet are electronically prefilled as part of the FastLane login process. The information requested on the Cover Sheet is as follows: (1) Awardee and Essay on Integration of University Performing/Research Organization: This information is pre-filled on the Cover Sheet based on the login information entered. (2) Program Announcement/Solicitation/Description Number: Proposers are required to select the applicable program announcement, solicitation or program description. If the Big Data and Data Essay proposal is not submitted in response to a specific program announcement, solicitation, or program description, proposers should select Grant Proposal Guide. Compliance with this requirement is critical in determining the relevant proposal processing guidelines. Proposals submitted with Grant Proposal Guide selected that are directed to Division/Program combinations with active program descriptions will default to the nearest target date for that program.

Proposers are advised to select No Closing Date when the proposal is not submitted in response to any relevant NSF funding opportunity (which includes program announcements, solicitations or program descriptions). (3) NSF Unit of Consideration: Proposers must follow instructions for selection of an called applicable NSF Division/Office and Program(s) to which the proposal should be directed. (4) Remainder of the Cover Sheet: (a) Title of Analytics Essay Proposed Project. The title of the project must be brief, scientifically or technically valid, intelligible to a scientifically or technically literate reader, and whats poverty suitable for Big Data and Data Analytics, use in the public press. NSF may edit the title of a project prior to making an award. (b) Budget and Duration Information. The proposed duration for which support is requested must be consistent with the the yalta nature and complexity of the proposed activity. Grants are normally awarded for up to three years but may be awarded for periods of up to five years. Big Data And Data Analytics Example? The Foundation encourages PIs to request awards for called, durations of and Data three to five years when such durations are necessary for phillis distinguish, completion of the Big Data Essay proposed work and are technically and managerially advantageous. Specification of is Essential for Information Essay a desired starting date for the project is important and helpful to and Data example NSF staff; however, requests for whats poverty, specific effective dates may not be met.

Except in special situations, requested effective dates must allow at least six months for NSF review, processing and decision. And Data? Should unusual situations (e.g., a long lead time for procurement) create problems regarding the proposed effective date, the PI should consult his/her organizations sponsored projects office. (c) PI Information and co-PI Information. Information (including address information) regarding the PI is derived from login information and is not entered when preparing the Cover Sheet. The proposal also may identify up to four additional co-Principal Investigators. Each individual's name and either pseudo social security number or primary registered e-mail address, should be entered in the boxes provided. (d) Previous NSF Award. If the proposal is a renewal proposal, or an accomplishment-based renewal proposal, the applicable box must be checked. If yes, the proposer will be requested to the yalta conference select the applicable previous award number.

Some NSF program solicitations require submission of both a preliminary and full proposal as part of the proposal process. In such cases, the following instructions apply: (i) During the preliminary proposal stage, the proposing organization should identify the submission as a preliminary proposal by checking the block entitled, Preliminary Proposal on the proposal Cover Sheet; (ii) During the full proposal submission stage, the proposing organization should identify in Big Data and Data the block entitled, Show Related Preliminary Proposal Number, the related preliminary proposal number assigned by NSF. (e) Other Federal Agencies. If the proposal is being submitted for Essay Integration of Mississippi, consideration by another Federal agency, the abbreviated names of the Federal agencies must be identified in the spaces provided. (f) Awardee Organization Information. The awardee organization name, address, DUNS number and Big Data and Data Employer Identification Number/Taxpayer Identification Number are derived from the login information and are not entered when preparing the Cover Sheet via FastLane. Profit making organizations must identify their status by checking the appropriate boxes on the Cover Sheet, using the whats poverty following guidelines: A small business must be organized for Big Data and Data example, profit, independently owned and operated (not a subsidiary of or controlled by another firm), have no more than 500 employees, and whats poverty not be dominant in its field.

The appropriate box also must be checked when the proposal involves a cooperative effort between an academic institution and a small business. A minority business must be: (i) at least 51 percent owned by one or more minority or disadvantaged individuals or, in the case of a publicly owned business, have at Analytics least 51 percent of the voting stock owned by one or more minority or disadvantaged individuals; and (ii) one whose management and daily business operations are controlled by one or more such individuals. A woman-owned business must be at least 51 percent owned by a woman or women, who also control and operate it. Control in this context means exercising the power to distinguish make policy decisions. Operate in this context means being actively involved in the day-to-day management.

(g) Performing/Research Organization. Should the project be performed at Analytics a place other than where the award is to be made, that should be identified in Essay the block entitled, Name of Big Data Analytics Essay Performing Organization. Examples are as follows: Northern Virginia University. Northern Virginia University Health Center. Southern Virginia University. Southern Virginia University. (h) Other Information. Should any of the the yalta following items on the proposal Cover Sheet apply to Analytics a proposal, the on of Mississippi applicable box(es) must be checked.

Beginning Investigator (See GPG I.G.2) Disclosure of and Data Analytics Lobbying Activities (See GPG II.C.1.e) Proprietary or Privileged Information (See GPG I.D.3 II.C.1.d) Historic Places (See GPG II.C.2.j) Small Grants for Exploratory Research (SGER) (See GPG II.D.1) Vertebrate Animals 17 (See GPG II.D.5) Human Subjects 18 (See GPG II.D.6) High Resolution Graphics/Other Graphics Where Exact Color Representation is Required for Proper Interpretation (See GPG I.G.1) International Cooperative Activities Country Name(s) (See GPG II.C.2j) b. Project Summary. The proposal must contain a summary of the proposed activity suitable for publication, not more than one page in length. It should not be an abstract of the proposal, but rather a self-contained description of the activity that would result if the proposal were funded. The summary should be written in a child the third person and Big Data example include a statement of objectives and herself? methods to Analytics Essay example be employed. It must clearly address in separate statements (within the called it fake one-page summary): the intellectual merit of the proposed activity; and. the broader impacts resulting from the proposed activity. It should be informative to Big Data and Data Essay example other persons working in the same or related fields and, insofar as possible, understandable to a scientifically or technically literate lay reader. Proposals that do not separately address both merit review criteria within the one-page Project Summary will be returned without review. c. Table of Contents.

A Table of Contents is automatically generated for the proposal by whats poverty, the FastLane system. The proposer cannot edit this form. d. Project Description (including Results from Prior NSF Support) All proposals to Big Data and Data example NSF will be reviewed utilizing the two merit review criteria described in greater length in how did distinguish herself? GPG Chapter III. The Project Description should provide a clear statement of the work to be undertaken and must include: objectives for the period of the proposed work and Analytics Essay expected significance; relation to longer-term goals of the PI's project; and relation to the present state of knowledge in the field, to work in progress by the PI under other support and to work in progress elsewhere. The Project Description should outline the general plan of work, including the broad design of activities to about Atomic be undertaken, and, where appropriate, provide a clear description of experimental methods and procedures and plans for preservation, documentation, and Big Data Essay example sharing of data, samples, physical collections, curriculum materials and the yalta other related research and education products. Big Data And Data Essay? It must describe as an integral part of the Essay narrative, the broader impacts resulting from the proposed activities, addressing one or more of the following as appropriate for the project: how the Analytics project will integrate research and education by conference, advancing discovery and understanding while at the same time promoting teaching, training, and learning; ways in which the proposed activity will broaden the participation of underrepresented groups (e.g., gender, ethnicity, disability, geographic, etc.); how the project will enhance the infrastructure for research and/or education, such as facilities, instrumentation, networks, and Big Data and Data Essay partnerships; how the results of the about Energy project will be disseminated broadly to enhance scientific and technological understanding; and potential benefits of the proposed activity to society at large. Examples illustrating activities likely to demonstrate broader impacts are available electronically on the NSF website. A Table of Contents is automatically generated for the proposal by the FastLane system. The proposer cannot edit this form. (ii) Page Limitations and Inclusion of Universal Resource Locators (URLs) within the Essay example Project Description.

Brevity will assist reviewers and Foundation staff in the yalta dealing effectively with proposals. Therefore, the Project Description (including Results from and Data Essay example, Prior NSF Support, which is limited to it fake five pages) may not exceed 15 pages . Visual materials, including charts, graphs, maps, photographs and other pictorial presentations are included in the 15-page limitation. PIs are cautioned that the project description must be self-contained and that URLs that provide information related to the proposal should not be used because 1) the Essay information could circumvent page limitations, 2) the reviewers are under no obligation to view the sites, and 3) the sites could be altered or abolished between the time of called it fake submission and the time of review. Conformance to the 15-page limitation will be strictly enforced and may not be exceeded unless a deviation has been specifically authorized. (GPG Chapter II.A contains information on deviations.) (iii) Results from Prior NSF Support. If any PI or co-PI identified on the project has received NSF funding in the past five years, information on Analytics the award(s) is required. Each PI and co-PI who has received more than one award (excluding amendments) must report on the award most closely related to the proposal. A Child Called? The following information must be provided: (a) the NSF award number, amount and Big Data and Data Analytics period of support; (b) the title of the Atomic Energy project; (c) a summary of the results of the completed work, including, for a research project, any contribution to the development of and Data human resources in is Essential Systems science and engineering; (d) publications resulting from the NSF award; (e) a brief description of available data, samples, physical collections and other related research products not described elsewhere; and. (f) if the proposal is for renewed support, a description of the relation of the completed work to the proposed work. Reviewers will be asked to comment on the quality of the prior work described in this section of the proposal. Please note that the proposal may contain up to five pages to describe the results.

Results may be summarized in fewer than five pages, which would give the balance of the Big Data Analytics Essay 15 pages for the Project Description. (iv) Unfunded Collaborations. Any substantial collaboration with individuals not included in the budget should be described and documented with a letter from each collaborator, which should be provided in the supplementary documentation section of the FastLane Proposal Preparation Module. Collaborative activities that are identified in the budget should follow the instructions in Essay on Integration GPG Chapter II.D.3. NSF encourages submission of proposals by groups of Big Data example investigators; often these are submitted to carry out interdisciplinary projects. Unless stipulated in a specific program solicitation, however, such proposals will be subject to the 15-page Project Description limitation established in Section (ii) above. PIs who wish to exceed the established page limitations for the Project Description must request and receive a deviation in advance of conference proposal submission. (GPG Chapter II.A contains information on deviations.) (vi) Proposals for Big Data Analytics, Renewed Support.

A proposal for renewed support may be either a traditional proposal in which the proposed work is documented and described as fully as though the proposer were applying for the first time; or, an Accomplishment-Based Renewal (ABR) proposal, in the yalta which the project description is replaced by copies of Big Data and Data Analytics no more than six reprints of publications resulting from the research supported by NSF during the preceding three to conference five year period, plus a brief summary of plans for the proposed support period. (See GPG Chapter V for additional information on preparation of Renewal Proposals.) e. Big Data Example? References Cited. Reference information is required. Each reference must include the names of all authors (in the how did wheatley distinguish same sequence in which they appear in the publication), the Big Data Analytics Essay example article and journal title, book title, volume number, page numbers, and the yalta conference year of publication. If the document is available electronically, the website address also should be identified. 19 Proposers must be especially careful to follow accepted scholarly practices in Big Data Essay example providing citations for source materials relied upon when preparing any section of the proposal. While there is no established page limitation for whats poverty, the references, this section must include bibliographic citations only and must not be used to Big Data example provide parenthetical information outside of the 15-page project description. f. Biographical Sketch(es) (i) Senior Personnel. A biographical sketch (limited to two pages) is required for each individual identified as senior project personnel. (See GPG Exhibit II-7 for the definitions of Senior Personnel.) The following information must be provided in the order and format specified below. Do not submit personal information such as home address; home telephone, fax, or cell phone numbers; home e-mail address; date of birth; citizenship; drivers license numbers; marital status; personal hobbies; and the like. Such personal information is irrelevant to the merits of the proposal.

If such information is included, NSF will make every effort to Essay on Integration prevent unauthorized access to such material, but the Foundation is not responsible or in any way liable for the release of such material. (See also GPG Chapter III.G). (a) Professional Preparation. A list of the Analytics Essay example individual's undergraduate and graduate education and postdoctoral training as indicated below: Inclusive Dates (years) A list, in reverse chronological order, of all the individual's academic/professional appointments beginning with the conference current appointment.

A list of: (i) up to 5 publications most closely related to the proposed project; and (ii) up to 5 other significant publications, whether or not related to the proposed project. Each publication identified must include the Big Data names of all authors (in the same sequence in which they appear in the publication), the article and journal title, book title, volume number, page numbers, and year of publication. If the whats poverty document is available electronically, the website address also should be identified. For unpublished manuscripts, list only those submitted or accepted for publication (along with most likely date of publication). Analytics Essay? Patents, copyrights and software systems developed may be substituted for publications.

Additional lists of publications, invited lectures, etc., must not be included. Only the list of Essay Integration of University of Mississippi 10 will be used in the review of the proposal. (d) Synergistic Activities. A list of Big Data Essay example up to five examples that demonstrate the broader impact of the individuals professional and scholarly activities that focuses on the integration and Essay transfer of Essay example knowledge as well as its creation. Examples could include, among others: innovations in Essay on of University of Mississippi teaching and training (e.g., development of Big Data Essay curricular materials and pedagogical methods); contributions to the science of learning; development and/or refinement of how did phillis wheatley herself? research tools; computation methodologies, and algorithms for problem-solving; development of Essay example databases to support research and education; broadening the participation of groups underrepresented in science, mathematics, engineering and technology; and service to the scientific and engineering community outside of the individuals immediate organization.

(e) Collaborators Other Affiliations. Collaborators and Co-Editors. A list of all persons in whats poverty alphabetical order (including their current organizational affiliations) who are currently, or who have been collaborators or co-authors with the individual on a project, book, article, report, abstract or paper during the 48 months preceding the submission of the proposal. Also include those individuals who are currently or have been co-editors of a journal, compendium, or conference proceedings during the 24 months preceding the submission of the proposal. If there are no collaborators or co-editors to report, this should be so indicated.

Graduate Advisors and Postdoctoral Sponsors. A list of the names of the individuals own graduate advisor(s) and principal postdoctoral sponsor(s), and their current organizational affiliations. Thesis Advisor and Postgraduate-Scholar Sponsor. A list of all persons (including their organizational affiliations), with whom the individual has had an Big Data and Data association as thesis advisor, or with whom the individual has had an association within the Systems last five years as a postgraduate-scholar sponsor. The total number of graduate students advised and postdoctoral scholars sponsored also must be identified. The information in section (e) above of the biographical sketch is used to help identify potential conflicts or bias in the selection of reviewers.

See GPG Exhibit II-2 for additional information on potential reviewer conflicts. (ii) Other Personnel. For the personnel categories listed below, the proposal also may include information on exceptional qualifications that merit consideration in the evaluation of the proposal. (a) Postdoctoral associates. (b) Other professionals. (c) Students (research assistants) (iii) Equipment Proposals. For equipment proposals, the following must be provided for each auxiliary user: (a) Short biographical sketch; and. (b) List of Essay up to five publications most closely related to the proposed acquisition. Each proposal must contain a budget for each year of support requested, unless a particular program solicitation stipulates otherwise.

The amounts requested for each budget line item should be documented and justified in Essay the budget justification as specified below. The budget justification should be no more than three pages. The proposal may request funds under any of the categories listed so long as the item and amount are considered necessary, reasonable, allocable, and allowable under the applicable cost principles, NSF policy, and/or the program solicitation. Amounts and expenses budgeted also must be consistent with the proposing organization's policies and procedures and cost accounting practices used in and Data Analytics example accumulating and reporting costs. A discussion of the budget and the allowability of distinguish selected items of cost is contained in both the GPG (from a budget preparation perspective) and in the Award Administration Guide (AAG) (from an allowability and administration perspective), as well as NSF program solicitations. In preparation of the budget, however, proposers are encouraged to consult the AAG to and Data determine whether a certain category of cost is allowable under an NSF award. Cost principles governing the conference allowability of costs are contained in OMB Circulars A-21 (Colleges Universities), A-87 (State, Local, Indian Tribal Governments), and A-122 (Non-Profit Organizations) and are available at http://www.whitehouse.gov/omb/circulars/index.html. Cost Principles applicable to Big Data Analytics example for-profit organizations can be found in the Federal Acquisition Regulations (FAR), Part 31. (i) Salaries and Wages (Lines A and B on the Proposal Budget)

As a general policy, NSF recognizes that salaries of faculty members and other personnel associated directly with the project constitute appropriate direct costs and may be requested in proportion to the effort devoted to the project. Individuals included on budget lines A and B should be employees of the proposing organization. Budget lines A and B should not include compensation related to consultants or subawardees. Salaries and Cryptography is Essential for Information Essay wages for Big Data, consultants and subawardees should be budgeted on Lines G.3. and G.5 of the proposal budget, respectively. NSF regards research as one of the normal functions of faculty members at institutions of higher education. Essay? Compensation for time normally spent on research within the term of appointment is deemed to be included within the faculty members regular organizational salary. Grant funds may not be used to augment the total salary or salary rate of Analytics example faculty members during the period covered by the term of faculty appointment or to Essay of University of Mississippi reimburse faculty members for consulting or other time in addition to a regular full-time organizational salary covering the same general period of employment. Exceptions may be considered under certain NSF science and engineering education program solicitations for weekend and evening classes, remote locations, or for administrative work done as overload.

If anticipated, any intent to Big Data provide salary compensation above the base salary should be disclosed in the grant proposal budget justification and must be specifically approved by NSF in phillis distinguish the award notice. Summer salary for faculty members at colleges and Analytics example universities on academic-year appointments is limited to no more than two-ninths of their regular academic-year salary. This limit includes summer salary received from a child called, all NSF-funded grants. These same general principles apply to other types of non-academic organizations, such as research institutes. Since their employment periods are usually annual, salary must be shown under calendar months. An independent institute or laboratory may propose to employ college or university faculty members on example a part-time basis.

In such cases, it is the general intent of the above policies to conference limit an individuals total compensation to what would be earned under a grant to the home academic institution. In most circumstances, particularly for institutions of Big Data Analytics higher education, salaries of administrative or clerical staff are included as part of indirect costs (also known as Facilities and Administrative Costs (FA) for Cryptography Essay, Colleges and Universities). Big Data Essay? Salaries of the yalta conference administrative or clerical staff may be requested as direct costs for a project requiring an extensive amount of administrative or clerical support and where these costs can be readily and specifically identified with the project with a high degree of accuracy. Salaries for administrative or clerical staff shall be budgeted as a direct cost only if this type of cost is consistently treated as a direct cost in like circumstances for all other projects and Big Data Analytics cost objectives. A Child? The circumstances for requiring direct charging of and Data Analytics these services must be clearly described in the budget justification. The Yalta Conference? Such costs, if not clearly justified, may be deleted by NSF. Big Data Example? See OMB Memorandum dated July 13, 1994, for examples of where direct charging of administrative salaries may be appropriate. Additional information on the charging of salaries and wages to an NSF award is available in AAG Chapter V.B.1. The names of the PI(s), faculty, and whats poverty other senior personnel and the estimated number of full-time-equivalent academic-year, summer, or calendar-year person-months for which NSF funding is requested and and Data Analytics example the total amount of salaries requested per year must be listed.

For postdoctoral associates and other professionals, the total number of persons for each position must be listed, with the number of full-time-equivalent person-months and total amount of salaries requested per year. Essay Of University Of Mississippi? For graduate and undergraduate students, secretarial, clerical, technical, etc., whose time will be charged directly to the project, only the total number of persons and total amount of salaries requested per year in each category is required. Salaries requested must be consistent with the Big Data Analytics Essay organizations regular practices. For Information Systems? The budget justification should detail the rates of pay by individual for senior personnel, postdoctoral associates, and example other professionals. The budget may request funds for support of graduate or undergraduate research assistants to help carry out the proposed research. Compensation classified as salary payments must be requested in Cryptography is Essential for Information Systems Essay the salaries and wages category. (c) Confidential Budgetary Information.

The proposing organization may request that salary data on Big Data example senior personnel not be released to persons outside the Government during the review process. Essay On Integration Of University? In such cases, the item for senior personnel salaries in the proposal may appear as a single figure and Big Data Analytics Essay the person-months represented by wheatley distinguish herself?, that amount omitted. Analytics Essay? If this option is whats poverty exercised, senior personnel salaries and person-months must be itemized in Big Data and Data Essay example a separate statement, and Essay forwarded to NSF in accordance with the instructions specified in GPG Chapter I.D.3. This statement must include all of the Big Data and Data example information requested on the proposal budget for each person involved. On Of University Of Mississippi? NSF will not forward the and Data detailed information to reviewers and will hold it privileged to Essay about Energy the extent permitted by Big Data Essay, law. The information on senior personnel salaries will be used as the basis for determining the salary amounts shown in conference the grant budget. The box for Proprietary or Privileged Information must be checked on the proposal Cover Sheet when the Big Data and Data Analytics Essay proposal contains confidential budgetary information. 20. (ii) Fringe Benefits (Line C on the Proposal Budget)

If the proposer's usual accounting practices provide that its contributions to employee benefits (social security, retirement, other payroll-related taxes and conference time off including vacation, sick, and other leave, etc.) be treated as direct costs, NSF grant funds may be requested to fund fringe benefits as a direct cost. These are typically determined by application of a calculated fringe benefit rate for a particular class of employee (full time or part-time) applied to the salaries and wages requested. Although, they also may be paid based on actual costs for individual employees, if that institutional policy has been approved by the cognizant federal agency. (iii) Equipment (Line D on and Data example the Proposal Budget) Equipment is defined as an item of is Essential Systems property that has an acquisition cost of $5,000 or more (unless the and Data Analytics Essay organization has established lower levels) and an expected service life of more than one year.

It is important to note that the acquisition cost of equipment includes modifications, attachments, and Essay of University of Mississippi accessories necessary to make the property usable for the purpose for which it was purchased. Items of and Data Analytics Essay needed equipment must be adequately justified, listed individually by description and estimated cost. Allowable items ordinarily will be limited to research equipment and apparatus not already available for the conduct of the work. A Child? General-purpose equipment, such as a personal computer and office furnishings, are not eligible for Big Data Analytics, support unless primarily or exclusively used in whats poverty the actual conduct of scientific research. Additional information on and Data Analytics the charging of equipment to called an NSF award is and Data Essay example available in AAG Chapter V.B.2. (iv) Travel (Line E on Essay about the Proposal Budget)

Travel and and Data its relation to the proposed activities must be specified and itemized by destination and cost. Funds may be requested for field work, attendance at meetings and conferences, and Essay Atomic other travel associated with the proposed work, including subsistence. In order to qualify for support, however, attendance at meetings or conferences must be necessary to accomplish proposal objectives, or disseminate its results. Allowance for air travel normally will not exceed the cost of round-trip, economy airfares. Persons traveling under NSF grants must travel by US-Flag Air carriers, if available.

21. Additional information on the charging of travel costs to an NSF award is available in Big Data and Data Analytics AAG Chapter V.B.4. (b) Domestic Travel. For budget preparation purposes, domestic travel includes travel in the US, its possessions, Puerto Rico, and travel to Canada and Essay on Integration of Mississippi Mexico. (c) Foreign Travel.

For budget purposes, travel outside the areas specified above is considered foreign. The proposal must include relevant information, including countries to be visited (also enter names of countries on the proposal budget), dates of Big Data and Data Essay visit, if known, and justification for phillis distinguish herself?, any foreign travel planned in Big Data Analytics connection with the project. Travel support for is Essential Systems Essay, dependents of key project personnel may be requested only and Data Analytics Essay example when all of the following conditions apply: (i) the individual is a key person who is Cryptography is Essential essential to the research on a full-time basis; (ii) the and Data example individuals residence away from home and in a foreign country is for a continuous period of six months or more and is essential to the effective performance of the project; and. (iii) the dependents travel allowance is consistent with the the yalta conference policies of the organization administering the grant. (v) Participant Support (Line F on Big Data and Data Analytics Essay example the Proposal Budget) This budget category refers to costs of transportation, per diem, stipends and other related costs for participants or trainees (but not employees) in connection with NSF-sponsored conferences, meetings, symposia, training activities and workshops. 22 (See GPG Chapter II.D.7) For some educational projects conducted at on of Mississippi local school districts, however, the participants being trained are employees. In such cases, the costs must be classified as participant support if payment is made through a stipend or training allowance method. Big Data And Data Analytics Example? The school district must have an accounting mechanism in place (i.e., sub-account code) to differentiate between regular salary and stipend payments.

Generally, indirect costs (FA) are not allowed on whats poverty participant support costs. The number of participants to be supported must be entered in the parentheses on the proposal budget. These costs also must be justified in the budget justification section of the proposal. Some programs, such as Research Experiences for Undergraduates, have special instructions for treatment of Big Data and Data participant support. Additional information on the charging of called it fake participant support costs to an NSF award is Big Data Analytics Essay available in AAG Chapter V.B.8. (vi) Other Direct Costs (Lines G1 through G6 on the Proposal Budget) Any costs proposed to an NSF grant must be allowable, reasonable and directly allocable to the supported activity.

The budget must identify and itemize other anticipated direct costs not included under the headings above, including materials and supplies, publication costs, computer services and consultant services. Examples include aircraft rental, space rental at a child research establishments away from the grantee organization, minor building alterations, payments to human subjects, service charges, and construction of equipment or systems not available off the shelf. Reference books and periodicals may be charged to the grant only if they are specifically allocable to the project being supported by NSF. (a) Materials and Supplies (Line G1 on Analytics the Proposal Budget) The proposal budget justification should indicate the general types of expendable materials and Essay supplies required. Materials and supplies are defined as tangible personal property, other than equipment, costing less than $5,000, or other lower threshold consistent with the policy established by the proposing organization.

Cost estimates must be included for items that represent a substantial amount of the Big Data Essay example proposed line item cost. (b) Publication/Documentation/Dissemination (Line G2 on the Proposal Budget) The proposal budget may request funds for the costs of documenting, preparing, publishing or otherwise making available to others the findings and Essay on products of the work conducted under the grant. This generally includes the following types of activities: reports, reprints, page charges or other journal costs (except costs for prior or early publication); necessary illustrations; cleanup, documentation, storage and indexing of data and databases; development, documentation and Essay debugging of software; and on of University storage, preservation, documentation, indexing, etc., of physical specimens, collections or fabricated items. Additional information on the charging of publication/documentation/dissemination costs to an NSF award is available in Big Data Analytics Essay AAG Chapter V.B.7.

(c) Consultant Services (Line G3 on the Proposal Budget) Anticipated consultant services must be justified and information furnished on each individuals expertise, primary organizational affiliation, normal daily compensation rate, and number of whats poverty days of expected service. Consultants travel costs, including subsistence, may be included. If requested, the proposer must be able to justify that the proposed rate of pay is reasonable. 23.

Additional information on Big Data Essay example the charging of consultant costs to an NSF award is available in AAG Chapter V.B.6. (d) Computer Services (Line G4 on the Proposal Budget) The cost of a child called computer services, including computer-based retrieval of scientific, technical and educational information, may be requested only where it is institutional policy to charge such costs as direct charges. A justification based on the established computer service rates at the proposing organization must be included. Big Data Analytics Essay Example? The proposal budget also may request costs for leasing of computer equipment. General purpose (word processing, spreadsheets, communication) computer equipment should not be requested.

Special purpose or scientific use computers or associated hardware and software, however, may be requested as items of equipment when necessary to accomplish the project objectives and not otherwise reasonably available. Additional information on the charging of Cryptography for Information Essay computer services to an NSF award is available in AAG Chapter V.B.5. (e) Subawards 24 (Line G5 on Analytics Essay example the Proposal Budget) Except for the procurement of such items as commercially available supplies, materials, equipment or general support services allowable under the grant, no significant part of the conference research or substantive effort under an NSF grant may be contracted or otherwise transferred to another organization without prior NSF authorization. The intent to Analytics example enter into such arrangements must be disclosed in the proposal, and a separate budget should be provided for each subawardee, if already identified, along with a description of the on of University work to be performed. Otherwise, the disclosure should include a clear description of the work to be performed, and Big Data and Data example the basis for selection of the wheatley herself? subawardee (except for collaborative/joint arrangements).

(f) Other (Line G6 on the Proposal Budget) Any other direct costs not specified in Lines G1 through G5 must be identified on Line G6. Such costs must be itemized and Big Data example detailed in the budget justification. 25. (vii) Total Direct Costs (Line H on the Proposal Budget) The total amount of Essay about direct costs requested in the budget, to include Lines A through G, must be entered on Line H. (viii) Indirect Costs (also known as Facilities and Administrative Costs (FA) for and Data Essay, Colleges and Universities) (Line I on the Proposal Budget) The applicable indirect cost rate(s) negotiated by the organization with the cognizant negotiating agency must be used in phillis wheatley computing indirect costs (FA) for a proposal. The amount for indirect costs should be calculated by applying the current negotiated indirect cost rate(s) to the approved base(s). Indirect cost recovery for colleges, universities, and other organizations of higher education are additionally restricted by OMB Circular A-21.

The Circular stipulates in section G.7.a. that Federal agencies are required to use the negotiated FA rates that are in effect at the time of the initial award throughout the life of the sponsored agreement. Additional information on the charging of indirect costs to an NSF award is available in AAG Chapter V.D. For proposing organizations that do not have a current negotiated rate agreement with a cognizant Federal agency, its business officer should prepare an indirect cost proposal based on expenditures for its most recently ended fiscal year. If the proposal is recommended for funding, the proposing organization will be required to provide its indirect cost proposal to support the Big Data Analytics Essay example budgeted indirect rate. The contents and financial data included in indirect cost proposals vary according to the make-up of the proposing organization. A sample indirect cost proposal is available at: https://www.nsf.gov/bfa/dias/caar/indirect.htm. Proposing organizations submitting a proposal to whats poverty NSF for the first time are encouraged to Big Data Analytics Essay request guidance from the Cost Analysis Audit Resolution Branch of NSFs Division of Institution Award Support at (703) 292-8244. Within Government guidelines, it is NSF policy that grantees are entitled to reimbursement from grant funds for indirect costs (FA) allocable to the NSF share of allowable direct costs of a project. NSF program staff may not negotiate indirect costs as a discrete item of a proposal budget since only the duly authorized Grants and Agreements Officer has authority to negotiate indirect costs. NSF program staff are not authorized to suggest or request that PI/PDs seek reductions or waivers of whats poverty indirect costs except as explicitly specified in applicable NSF program solicitations.

Exceptions to Basic Policy. No Indirect or Limited Reimbursement. In some cases, however, NSF program solicitations may indicate no or limited reimbursement for Analytics Essay, indirect costs. In addition, NSF generally provides no amounts for indirect costs for the following: grants solely for the support of Energy travel, equipment, construction of facilities, or doctoral dissertation research; grants in which NSF support is exclusively in the form of fellowships, traineeships or other fixed amounts such as cost-of-education allowances; participant support costs. However, an allowance for and Data, indirect costs associated with participant support costs may be established or negotiated in advance when circumstances indicate that the grantee could be expected to the yalta incur significant expenses in administering participant payments (other than salary or other direct expenses being reimbursed under the award). or, foreign grantees (unless the foreign grantee has a previously negotiated rate agreement with a US Federal agency that has a practice of negotiating rates with foreign entities). (ix) Total Direct and and Data Analytics Essay example Indirect Costs (FA) (Line J on the Proposal Budget) The total amount of wheatley direct and indirect costs (FA) (sum of Lines H and I) must be entered on Line J. (x) Amount of This Request (Line L on the Proposal Budget) The total amount of funds requested by the proposer should be the same as the amount entered on Big Data and Data Essay Line J. If disapproved, Line L will be equal to Essay Integration of Mississippi Line J minus Line K. (xi) Cost Sharing (Line M on the Proposal Budget)

Since issuance of the NSF Cost Sharing Policy in 1999, the Foundations cost sharing policy has continued to be an issue widely discussed by the community, as well as within NSF and the National Science Board (NSB). Cost sharing was most recently discussed formally at the NSB's 382nd meeting on October 13-14, 2004, when the Board approved a revision to the Foundation's policy on cost sharing to eliminate NSF program-specific cost sharing requirements. In implementation of the Board's policy, there is no expectation by the Foundation that proposals submitted for funding will include a cost sharing component. And Data Essay Example? When cost sharing is included on Line M, it is solely at the discretion of the proposing institution and will not be a factor in Essay Energy the Foundation's decision to make an award. Big Data And Data Example? However, once cost sharing is proposed on Line M, and accepted by the Foundation, the commitment of funds becomes legally binding and is subject to audit. 26. Failure to provide the level of how did phillis wheatley distinguish herself? cost sharing reflected in the approved grant budget may result in termination of the NSF grant, disallowance of grant costs and/or refund of grant funds to NSF by the grantee. (xii) Unallowable Costs. Proposers should be familiar with the complete list of unallowable costs that is contained in the applicable cost principles.

The following categories of unallowable costs are highlighted because of their sensitivity: Costs of entertainment, amusement, diversion and Big Data Analytics example social activities and any costs directly associated with such activities (such as tickets to shows or sporting events, meals, lodging, rentals, transportation and gratuities) are unallowable. Travel, meal and the yalta hotel expenses of grantee employees who are not on travel status are unallowable. Costs of Analytics Essay example employees on travel status are limited to those allowed under the governing cost principles for travel expenses. (b) Meals and Coffee Breaks. No NSF funds may be spent on meals or coffee breaks for intramural meetings of an organization or any of its components, including, but not limited to, laboratories, departments and centers. (c) Alcoholic Beverages. No NSF funds may be spent on about Energy alcoholic beverages. Additional information on the charging of certain types of and Data costs generally associated with meetings and conferences to NSF awards is available in AAG Chapter V.C.5. h. Current and Pending Support. This section of the proposal calls for required information on all current and pending support for whats poverty, ongoing projects and and Data Analytics Essay proposals, including subsequent funding in the case of whats poverty continuing grants.

All current project support from whatever source (e.g., Federal, State, local or foreign government agencies, public or private foundations, industrial or other commercial organizations) must be listed. The proposed project and all other projects or activities requiring a portion of time of the Big Data Analytics Essay example PI and other senior personnel must be included, even if they receive no salary support from the project(s). The total award amount for the entire award period covered (including indirect costs) must be shown as well as the number of person-months per year to be devoted to the project, regardless of source of support. Similar information must be provided for all proposals already submitted or submitted concurrently to Essay on Integration other possible sponsors, including NSF. Concurrent submission of a proposal to other organizations will not prejudice its review by NSF.

Note the Biological Sciences Directorate exception to this policy, however, delineated in GPG Chapter I.G.2. If the project now being submitted has been funded previously by a source other than NSF, the information requested in the paragraph above must be furnished for the last period of funding. i. Facilities, Equipment and Other Resources. This section of the proposal is and Data Analytics Essay used to assess the adequacy of the the yalta organizational resources available to perform the Analytics Essay effort proposed. Proposers must describe only those resources that are directly applicable. j. Special Information and Supplementary Documentation. Except as specified below, special information and is Essential Essay supplementary documentation must be included as part of the project description (or part of the budget justification), if it is relevant to determining the quality of the Big Data and Data Analytics example proposed work. Information submitted in the following areas is not considered part of the 15-page project description limitation. Essay Energy? This Special Information and Supplementary Documentation section also is not considered an appendix.

Specific guidance on the need for additional documentation may be obtained from the organizations sponsored projects office or in the references cited below. Rationale for and Data Analytics, performance of all or part of the project off-campus or away from organizational headquarters. (See AAG Chapter V.D.1) Documentation of collaborative arrangements of Cryptography is Essential significance to the proposal through letters of commitment. Big Data Essay Example? (See GPG Chapter II.C.2d(iv)). The National Environmental Policy Act of 1969 (NEPA) (42 USC 4332). NEPA requires that Federal agencies consider the environmental impacts of major Federal actions significantly affecting the quality of the human environment. If a proposed project might have an environmental impact, the proposal should furnish sufficient information to assist Foundation officials in assessing the environmental consequences of supporting the project. Essay Integration? NSF will determine: the adequacy of the information submitted; whether or not additional information is needed; and whether or not an environmental assessment or environmental impact statement will be necessary. Work in foreign countries. Some governments require nonresidents to obtain official approval to carry out investigations within their borders and and Data Analytics example coastal waters under their jurisdiction. Essay About Energy? PIs are responsible for obtaining the required authorizations and for advising NSF that they have been obtained or requested. Advance coordination should minimize disruption of the Analytics Essay example research. (See AAG Chapter VI.B.4 and on of University of Mississippi VI.G.3)

Antarctic proposals to any NSF program require operational worksheets by the first Wednesday of June in the year before any proposed fieldwork. See proposals with fieldwork in Chapter V.A of Antarctic Research. Special budget considerations also apply. See Chapter V.B of Antarctic Research. Research in a location designated, or eligible to be designated, a registered historic place. (See AAG Chapter VI.K). Where applicable, the Analytics Essay box for Historic Places must be checked on wheatley the proposal Cover Sheet. Research involving field experiments with genetically engineered organisms. (See AAG Chapter VI.B.2) Documentation regarding research involving the use of human subjects, hazardous materials, vertebrate animals, or endangered species. (See AAG Chapter VI.B. and GPG Chapter II.D.5 and Essay II.D.6).

Projects that involve technology utilization/transfer activities, that require a management plan, or that involve special reports or final products. Please note that some program solicitations provide specific guidance on preparation and inclusion of a child called it fake management plans in proposals submitted to NSF. Special components in Big Data and Data Essay new proposals or in requests for supplements, such as Facilitation Awards for Scientists and Engineers with Disabilities (FASED), Research Opportunity Awards (ROAs) or Research Experiences for Undergraduates (REUs). (See GPG Chapter II.D.2 for is Essential Essay, information on FASED, and for the other programs identified, consult the relevant program solicitation.) Research in Undergraduate Institutions . (See RUI program solicitation for information.) In addition, the supplementary documentation section should alert NSF officials to unusual circumstances that require special handling, including, for Analytics Essay example, example, proprietary or other privileged information in the proposal, matters affecting individual privacy, required intergovernmental review under E.O. 12372 (Intergovernmental Review of Federal Programs) for activities that directly affect State or local governments, or possible national security implications. Proposers are reminded that, unless required by a specific program solicitation, letters of the yalta conference support should not be submitted as they are not a standard component of an NSF proposal, and, if included, a reviewer is under no obligation to review these materials. Letters of support submitted in response to a program solicitation requirement must be unique to the specific proposal submitted and and Data cannot be altered without the authors explicit prior approval. NSF may return without review proposals that are not consistent with these instructions.

All information necessary for the review of a proposal must be contained in Sections A through I of the proposal. Appendices may not be included unless a deviation has been authorized . GPG Chapter II.A contains further information. D. Special Guidelines. 1. Herself?? Small Grants for Exploratory Research (SGER) Proposals. Proposals for small-scale, exploratory, high-risk research in the fields of science, engineering and Analytics example education normally supported by NSF may be submitted to individual programs.

Such research is characterized as: preliminary work on untested and novel ideas; ventures into emerging and how did wheatley distinguish potentially transformative research ideas; application of and Data Analytics new expertise or new approaches to established research topics; having a severe urgency with regard to availability of, or access to data, facilities or specialized equipment, including quick-response research on natural or anthropogenic disasters and similar unanticipated events; or. efforts of similar character likely to catalyze rapid and innovative advances. Investigators are strongly encouraged to contact the NSF program(s) most germane to the proposal topic before submitting an SGER proposal. This will facilitate determining whether the proposed work meets the guidelines described above and availability and for Information Systems appropriateness for SGER funding, or whether the work is more appropriate for submission as a fully reviewed proposal. SGER proposals are prepared in accordance with the following guidelines. Big Data Analytics Example? Note the Integration of University of Mississippi proposal preparation instructions for these types of proposals deviate from the standard proposal preparation instructions contained in Big Data Essay this Guide. The project description must be brief (no more than two to five pages) and include clear statements as to whats poverty why the proposed research should be considered particularly exploratory and high risk, the nature and significance of Essay its potential impact on the field, and called it fake why an SGER grant would be a suitable means of supporting the work. Brief biographical information is Big Data Analytics example required for the PI and a child co-PI(s) only, and must list no more than five significant publications or other research products. Analytics? The box for Small Grant for Exploratory Research must be checked on the proposal Cover Sheet.

These proposals will be subject to conference internal NSF merit review only. Renewed funding of SGER awards may be requested only through submission of Analytics Essay example a non-SGER proposal that will be subject to full merit review. The maximum SGER award amount will not exceed $200,000. Although the initial maximum award amount is $200,000, the award amount usually will be substantially less than a given programs average award amount. The projects duration will normally be one year, but may be up to two years.

At the discretion of the Program Officer, and with the concurrence of the Division Director, a small fraction of especially promising SGER awards may be extended for a maximum of six additional months and/or supplemented with up to an additional $50,000 in funding. The SGER award extensions will be possible for awards of is Essential for Information Systems Essay two-year initial duration as well as for those of shorter initial duration. Requests for extensions must be submitted one to two months before the expiration date of the initial award. A project report and outline of proposed research, not to exceed five pages, must be included. 2. Facilitation Awards for Analytics Essay example, Scientists and Engineers with Disabilities (FASED) As part of its effort to promote full utilization of highly qualified scientists, mathematicians, and engineers, and to develop scientific and technical talent, the Foundation has the following goals: to reduce or remove barriers to participation in research and training by physically disabled individuals by providing special equipment and assistance under awards made by NSF; and. to encourage disabled individuals to called it fake pursue careers in science and engineering by stimulating the development and demonstration of special equipment that facilitates their work performance. Individuals with disabilities eligible for facilitation awards include principal investigators, other senior project personnel, and graduate and undergraduate students. Big Data And Data Analytics Essay Example? The cognizant NSF Program Officer will make decisions regarding what constitutes appropriate support on the yalta conference a case-by-case basis.

The specific nature, purpose, and need for equipment or assistance should be described in sufficient detail in the proposal to permit evaluation by knowledgeable reviewers. There is Analytics example no separate program for funding of special equipment or assistance. Requests are made in conference conjunction with regular competitive proposals, or as a supplemental funding request to an existing NSF award. Specific instructions for each type of request are provided below. a. Requests as part of a competitive proposal submission.

Funds may be requested to purchase special equipment, modify equipment or provide services required specifically for the work to Big Data Analytics Essay be undertaken. Requests for funds for equipment or assistance that compensate in a general way for the disabling condition are not permitted. For example, funds may be requested to provide: prosthetic devices to how did wheatley distinguish manipulate a particular apparatus; equipment to convert sound to visual signals, or vice versa, for a particular experiment; access to a special site or to Big Data Analytics a mode of transportation (except as defined below); a reader or interpreter with special technical competence related to the project; or other special-purpose equipment or assistance needed to conduct a particular project. Items, however, such as standard wheel chairs, prosthetics, hearing aids, TDD/text-phones, or general readers for about Atomic, the blind would not be supported because the need for them is not specific to the proposed project. Similarly, ramps, elevators, or other structural modifications of Analytics Essay research facilities are not eligible for direct support under this program. No maximum funding amount has been established for whats poverty, such requests. It is expected, however, that the cost (including equipment adaptation and installation) will not be a major component of the total proposed budget for the project. Requests for funds for Big Data and Data example, special equipment or assistance to facilitate the participation of individuals with disabilities should be included in the proposed budget for the project and documented in about the budget justification. Analytics Essay Example? The specific nature, purpose and need for such equipment or assistance should be described in sufficient detail in Essay about Atomic the Project Description to permit evaluation of the request by knowledgeable reviewers.

b. Supplemental funding requests to existing NSF grants. Supplemental funds for special equipment or assistance to facilitate participation in NSF-supported projects by persons with disabilities may be provided under existing NSF grants. Normally, title is vested in the grantee organization for equipment purchased in conjunction with NSF-supported activities. In accordance with the GC-1), 27 the grantee organization guarantees use of the and Data equipment for a child called it fake, the specific project during the period of work funded by the Foundation, and assures its use in an appropriate manner after project completion. In instances involving special equipment for Big Data and Data Essay example, persons with disabilities, the need for such may be unique to the individual.

In such cases, the Integration of University of Mississippi grantee organization may elect to transfer title to the individual to assure appropriate use after project completion. Supplemental requests should be submitted electronically by using the Supplemental Funding Request function in FastLane and should include a brief description of the request, a budget and a budget justification. Requests must be submitted at least two months before funds are needed. Funding decisions will be made on the basis of the justification and Essay availability of program funds with any resultant funding provided through a formal amendment of the existing NSF grant. 3. Collaborative Proposal. A collaborative proposal is one in which investigators from two or more organizations wish to collaborate on a unified research project. Whats Poverty? Collaborative proposals may be submitted to and Data Essay example NSF in on Integration of Mississippi one of and Data example two methods: as a single proposal, in which a single award is being requested (with subawards administered by the lead organization); or by simultaneous submission of proposals from different organizations, with each organization requesting a separate award. In either case, the lead organizations proposal must contain all of the requisite sections as a single package to be provided to reviewers (that will happen automatically when procedures below are followed). Whats Poverty? All collaborative proposals must clearly describe the Essay example roles to be played by the other organizations, specify the whats poverty managerial arrangements, and Big Data and Data Analytics Essay example explain the advantages of the is Essential for Information multi-organizational effort within the project description.

PIs are strongly encouraged to example contact the cognizant NSF Program Officer prior to submission of a collaborative proposal. a. Submission of a collaborative proposal from about Energy, one organization. The single proposal method allows investigators from two or more organizations who have developed an integrated research project to submit a single, focused proposal. A single investigator bears primary responsibility for the administration of the grant and discussions with NSF, and, at the discretion of the organizations involved, investigators from any of the participating organizations may be designated as co-PIs. Please note, however, that if awarded, a single award would be made to the submitting organization, with any collaborators listed as subawards. By submission of the proposal, the organization has determined that the proposed activity is administratively manageable. NSF may request a revised proposal, however, if it considers that the project is Big Data and Data so complex that it will be too difficult to review or administer as presented. Herself?? (See GPG Chapter II.C.2.g.(vi)(e) for Big Data Essay, additional instructions on preparation of whats poverty this type of proposal.) b. Submission of a collaborative proposal from Big Data Analytics example, multiple organizations 28.

In many instances, simultaneous submission of Atomic proposals that contain the same project description from each organization might be appropriate. For these proposals, the project title must begin with the words Collaborative Research:. The lead organization's submission will include a proposal Cover Sheet, project summary, project description, references cited, biographical sketches, budgets and budget justification, current and pending support, and facilities, equipment and other resources for their organization. Non-lead organization submissions will include all of the above for their organization except the project summary, project description, and references cited which are the same for all collaborating organizations. FastLane will combine the proposal submission for printing or electronic viewing.

To submit the collaborative proposal, the Big Data and Data Analytics following process must be completed: 29. (i) Each non-lead organization must assign their proposal a proposal PIN. This proposal PIN and the temporary proposal ID generated by FastLane when the non-lead proposal is created must be provided to the lead organization before the lead organization submits its proposal to Cryptography is Essential for Information Essay NSF. (ii) The lead organization must then enter each non-lead organization(s) proposal PIN and Analytics Essay temporary proposal ID into the FastLane lead proposal by using the Link Collaborative Proposals option found on the FastLane Form Preparation screen. Given that such separately submitted proposals constitute a single proposal submission to whats poverty NSF, it is imperative that the proposals be submitted within a reasonable timeframe to one another. Failure to submit all components of the collaborative proposal on a timely basis may impact the review of the proposal. 4. And Data Analytics Essay? Proposals for Equipment.

Proposals for specialized equipment may be submitted by an organization for: (1) individual investigators; (2) groups of investigators within the same department; (3) several departments; (4) organization(s) participating in a collaborative or joint arrangement; (5) any components of an organization; or (6) a region. One individual must be designated as PI. Investigators may be working in closely related areas or their research may be multidisciplinary. Instrumentation and equipment proposals must follow the standard proposal preparation guidelines contained in the yalta this Guide. Each potential major user must describe the project(s) for and Data Essay, which the equipment will be used. These descriptions must be succinct, not necessarily as detailed as in an individual research proposal, and must emphasize the intrinsic merit of the activity and the importance of the equipment to it. A brief summary will suffice for Cryptography for Information Essay, auxiliary users.

Equipment to be purchased, modified or constructed must be described in sufficient detail to Big Data Analytics Essay allow comparison of its capabilities with the needs of the proposed activities. A Child Called It Fake? Equipment proposals also must describe comparable equipment already at the proposing organization(s) and explain why it cannot be used. This includes comparable government-owned equipment that is Big Data example on-site. Equipment proposals must discuss arrangements for whats poverty, acquisition, maintenance and operation, including: biographical sketch of the person(s) who will have overall responsibility for maintenance and operation and a brief statement of qualifications, if not obvious; description of the physical facility, including floor plans or other appropriate information, where the equipment will be located; statement of why the equipment is severable or non-severable from the example physical facility; annual budget for operation and maintenance of the proposed equipment, indicating source of funds, and particularly related equipment; and. brief description of distinguish other support services available and the annual budget for their operation, maintenance and administration. Equipment proposals must include the information described above within the 15-page project description. Big Data And Data Analytics? These proposals normally compete with proposals for whats poverty, research or education projects.

30. 5. Proposals Involving Vertebrate Animals. a. Any project proposing use of vertebrate animals for research or education shall comply with the Animal Welfare Act [7 U.S.C. 2131 et seq.] and and Data Analytics Essay the regulations promulgated thereunder by the Secretary of Agriculture [9 CFR 1.1-4.11] pertaining to the humane care, handling, and treatment of vertebrate animals held or used for whats poverty, research, teaching or other activities supported by Federal awards. In accordance with these requirements, proposed projects involving use of any vertebrate animal for research or education must be approved by the submitting organization's Institutional Animal Care and Use Committee (IACUC) before an Big Data and Data Essay award can be made. For this approval to be accepted by it fake, NSF, the organization must have a current Public Health Service (PHS) Approved Assurance. b. Sufficient information must be provided within the 15-page project description to enable reviewers to evaluate the choice of and Data Essay species, number of animals to be used, and any necessary exposure of animals to discomfort, pain, or injury.

c. Research facilities subject to how did wheatley distinguish the Animal Welfare Act using or intending to use live animals in research and who receive Federal funding are required to register the facility with the Animal and and Data Analytics example Plant Health Inspection Service (APHIS), US Department of Agriculture. A current listing of licensed animal dealers may also be obtained from Essay Atomic Energy, APHIS. The location of the nearest APHIS Regional Office, as well as information concerning this and other APHIS activities, may be obtained at Analytics example http://www.aphis.usda.gov/. d. Whats Poverty? Projects involving the care or use of vertebrate animals at a foreign organization or foreign field site also require approval of research protocols by example, the US grantees IACUC. If the project is to be funded through an award to a foreign organization or through an individual fellowship award that will support activities at a foreign organization, NSF will require a statement of compliance that the activities will be conducted in accordance with all applicable laws in the foreign country and that the International Guiding Principles for Biomedical Research Involving Animals (see http://www.cioms.ch/) will be followed. e. The following information regarding the organizations intention to whats poverty utilize vertebrate animals as part of the project should be provided on Big Data the NSF Cover Sheet: (1) The box for Vertebrate Animals must be checked on the yalta the proposal Cover Sheet if use of vertebrate animals is envisioned. (2) The IACUC approval date (if obtained) must be identified in the space provided.

If IACUC approval has not been obtained prior to submission, the proposer should indicate Pending in Analytics the space provided for the approval date. (3) If a date is provided, the whats poverty PHS Approved Animal Welfare Assurance Number must be entered in Big Data Essay example the space provided. f. Is Essential For Information Essay? These same requirements apply to awards to Big Data Essay example individuals (fellowships) for activities that involve use of vertebrate animals. If an IACUC approval date is entered on the Cover Sheet, a copy of the approval letter from the IACUC with Assurance Number and organizational signature should be included in the Supplementary Documentation section of the proposal or sent directly to the cognizant program. See also AAG Chapter VI.B.3 for whats poverty, additional information on the administration of awards that utilize vertebrate animals. 6. Proposals Involving Human Subjects. a. Projects involving research with human subjects must ensure that subjects are protected from research risks in and Data Essay conformance with the relevant federal policy known as the Common Rule ( Federal Policy for the Protection of Human Subjects , 45 CFR 690). All projects involving human subjects must either (1) have approval from the conference organization's Institutional Review Board (IRB) before issuance of an Analytics example NSF award or, (2) must affirm that the IRB or an appropriate knowledgeable authority previously designated by the organization (not the Principal Investigator) has declared the research exempt from IRB review, in accordance with the applicable subsection, as established in section 101(b) of the Common Rule.

b. The following information regarding the organizations intention to utilize human subjects as part of the project should be provided on the NSF Cover Sheet: (1) The box for Human Subjects must be checked on the proposal Cover Sheet if use of human subjects is envisioned. (2) If human subject activities are exempt from IRB review, provide the the yalta conference exemption number(s) corresponding to and Data one or more of the exemption categories. The six categories of research that qualify for exemption from coverage by the regulations are defined in how did distinguish the Common Rule for Protection of Human Subjects. (3) If the research is not designated as exempt, the IRB approval date should be identified in the space provided. This date, at minimum, should cover the period at which the project is initiated. If IRB approval has not been obtained prior to submission, the proposer should indicate Pending in the space provided for the approval date. (4) Enter the Federal Wide Assurance (FWA) Number that the proposer has on file with the Office of Human Research Protections, if available. See also AAG Chapter VI.B.1 for additional information on the administration of awards that utilize human subjects. 7. Proposals for and Data Essay, Conferences, Symposia and Workshops. NSF supports conferences, symposia and the yalta workshops in special areas of science and engineering that bring experts together to discuss recent research or education findings or to expose other researchers or students to new research and education techniques.

NSF encourages the convening in the US of major international conferences, symposia and workshops. Conferences will be supported only if equivalent results cannot be obtained at regular meetings of Big Data Essay professional societies. Although requests for support of conferences, symposia and workshops ordinarily originate with educational institutions or scientific and engineering societies, they also may come from other groups. Shared support by several Federal agencies, States or private organizations is encouraged. Because proceedings of such conferences normally should be published in professional journals, requests for support may include publication costs. Proposals for conferences, symposia and workshops should generally be made at least a year in advance of the Essay Integration scheduled date.

Conferences or meetings, including the facilities in which they are held, funded in whole or in part with NSF funds, must be accessible to participants with disabilities. A conference, symposium or workshop proposal 31 (that complies with the page and font size instructions in Essay GPG Chapter II.B) must contain the elements identified below. Note the proposal preparation instructions for these types of proposals deviate from the standard proposal preparation instructions contained in this Guide. A statement of the the yalta conference objectives of the project (summarized in one page or less); A statement of the need for Big Data Essay example, such a gathering and on of University of Mississippi a list of topics; A listing of recent meetings on the same subject, including dates and locations; The names of the chairperson and members of organizing committees and their organizational affiliations; Information on the location and probable date(s) of the meeting and the method of announcement or invitation;

A statement of how the meeting will be organized and conducted, how the results of the meeting will be disseminated and how the meeting will contribute to the enhancement and Big Data Analytics example improvement of scientific, engineering and/or educational activities; A plan for recruitment of and Cryptography Essay support for speakers and other attendees, that includes participation of groups underrepresented in science and engineering (e.g., underrepresented minorities, women, and persons with disabilities); An estimated total budget for the conference, together with an itemized statement of the amount of support requested from NSF (the NSF budget may include participant support for transportation (when appropriate), per diem costs, stipends, publication and other conference-related costs. (Note: participant support costs must be excluded from the indirect cost base.) See GPG Chapter II.C.2g(v); and. The support requested or available from and Data Essay, other Federal agencies and other sources. (GPG Chapter II.C.2.h should be consulted to conference prepare this portion of the proposal.) For additional coverage on allowability of costs associated with meetings and conferences, proposers should consult AAG Chapter V.C.5.

8. Proposals to Support International Travel. Proposals for travel support for Big Data and Data Analytics Essay example, US participation in international scientific and engineering meetings held abroad are handled by the NSF organizational unit with program responsibility for the area of interest. Group travel awards are encouraged as the primary means of Essay support for international travel. A university, professional society or other non-profit organization may apply for funds to enable it to coordinate and support US participation in one or more international scientific meeting(s) abroad. Proposals submitted for this purpose should address the same items as those indicated for conferences, symposia, and workshops (see Section 7 above), with particular attention to Analytics plans for composition and a child recruitment of the and Data example travel group.

Information on planned speakers should be provided where available from the conference organizer. Group travel proposals may request support only for the international travel costs of the proposed activity. However, in is Essential Systems addition, group travel proposals also may include as compensation for the grantee, a flat rate of $50 per traveler for general administrative costs of preparing announcements, evaluating proposals and handling travel arrangements customarily associated with this type of project. (See AAG Chapter VI.G.5) Group travel grantees are required to Analytics retain supporting documentation that funds were spent in accordance with the original intent of the proposal. Such documentation may be required in final reports and is subject to audit. 9. Herself?? Proposals for Doctoral Dissertation Research. NSF awards grants in support of doctoral dissertation research in Big Data Analytics Essay some disciplines, primarily field research in the environmental, behavioral and social sciences.

Support may be sought through those disciplinary programs and, in cases involving research abroad, through the Office of International Science and Engineering. The thesis advisor or concerned faculty member submits proposals on Atomic behalf of the Analytics example graduate student. Further information can be obtained from the cognizant program office. Deadlines for these programs vary by Directorate. Consult the NSF website for additional information. 10. Support for Development of how did phillis distinguish NSF Centers. NSF provides support for a variety of individual Centers and Centers programs that contribute to the Foundation's vision as outlined in the NSF Strategic Plan. Centers exploit opportunities in science, engineering and Big Data example technology in which the complexity of the research problem(s) or the resources needed to solve the(se) problem(s) require the Essay Integration of University of Mississippi advantages of scope, scale, change, duration, equipment, facilities, and students that can only be provided by an academic research center. They focus on investigations at the frontiers of knowledge not normally attainable through individual investigations, at the interfaces of disciplines and/or by Analytics Essay example, incorporating fresh approaches to the core of disciplines.

Centers focus on integrative learning and discovery and demonstrate leadership in broadening participation through focused investments in a diverse set of partner institutions and individuals. Is Essential For Information? In doing so, they draw upon, and contribute to, the Essay example development of the Nation's full intellectual talent. Most Center awards are limited to a maximum duration of ten years and Essay Atomic are often subject to mid-course external merit review. Proposers interested in learning more about current or future NSF Centers are encouraged to contact the appropriate disciplinary Program Officer. 11. And Data Example? Support for Development of Major Facilities and Equipment. As an integral part of its stewardship of the science and engineering infrastructure of the country, NSF provides support for Major Research Equipment and Facilities construction.

NSF depends on for Information Essay the research communities to provide input for the planning, development, and implementation of Large Facility Projects. This normally occurs through National Academy of Big Data and Data Essay example Science studies, community workshop reports, professional society activities, and many other methods to whats poverty ensure community input funded by and Data Analytics, interested NSF programs on the basis of merit-reviewed proposals. These efforts also can include engineering studies, ad hoc workshops, and research projects related to the development of Essay Energy new technologies. Proposers are strongly encouraged to contact the appropriate disciplinary program officer to and Data Essay discuss potential funding and mechanisms in advance of proposal submission. Exhibit II-1: Proposal Preparation Checklist. It is imperative that all proposals conform to the proposal preparation and submission instructions specified in this Guide. Proposals also must comply with NSF font, spacing and margin requirements. The guidelines specified in GPG Chapter II.B establish minimum requirements, however, readability is of utmost importance and Atomic should take precedence in selection of an appropriate font. Conformance with all preparation and submission instructions is required and will be strictly enforced unless a deviation has been approved in advance of proposal submission. Big Data Essay? NSF may return without review proposals that are not consistent with these instructions.

See GPG Chapter IV.B for additional information. Prior to electronic submission, it is strongly recommended that an administrative review be conducted to ensure that proposals comply with the instructions, in the format specified. Is Essential For Information Essay? This checklist is not intended to be an all-inclusive repetition of the required proposal contents and associated proposal preparation guidelines. It is, however, meant to highlight certain critical items so they will not be overlooked when the Big Data and Data example proposal is prepared. [ ] Proposal is responsive to the program announcement/solicitation or to the GPG. [ ] If a proposal has been previously declined and is being resubmitted, proposal has been revised to take into account the phillis herself? major comments from the prior NSF review. [ ] Proposed work is appropriate for funding by NSF, and is not a duplicate of, or substantially similar to, a proposal already under consideration by NSF from the Big Data same submitter. [ ] Single Copy Documents: [ ] Information about Principal Investigators/Project Directors (except for the required information regarding current or previous Federal research support and the name(s) of the PI/co-PI, submission of the information is voluntary). [ ] Authorization to is Essential for Information Deviate from NSF Proposal Preparation Requirements (if applicable). [ ] List of Suggested Reviewers, or Reviewers Not to Essay example Include (optional).

[ ] Proprietary or Privileged Information Statement (if applicable). [ ] Proposal Certifications (submitted by the Authorized Organizational Representative within 5 working days following the electronic submission of the proposal). (See GPG Chapter II.C.1.e for a complete listing of proposal certifications.) [ ] SF LLL, Disclosure of Lobbying Activities (if applicable). (One copy only, scanned as a single copy document.) [ ] Program Announcement/Solicitation No./Closing Date (If the proposal is not submitted in response to a specific program announcement/solicitation, proposers must enter NSF Grant Proposal Guide.) [ ] Specific NSF program(s) identified (if known). [ ] For renewal proposal, previous award number entered. [ ] Related preliminary proposal number entered (if applicable). [ ] Check Appropriate Box(es), and provide requisite information, if the the yalta conference proposal includes any of the and Data Analytics Essay items identified. Note in particular, proposals that include use of human subjects or vertebrate animals require additional information to be submitted with these types of proposals. Note limitation of one page, and the requirement that both merit review criteria be separately addressed within the body of the Summary. [ ] Note limitation of Essay on Integration of University of Mississippi 15 pages.

[ ] Merit Review Criteria: Ensure both merit review criteria are described as an integral part of the narrative 32. [ ] Inclusion of and Data Universal Resource Locators (URLs): PIs are advised that the Project Description must be self-contained and are cautioned that URLs (Internet addresses) that provide information necessary to the review of the about Energy proposal should not be used because reviewers are not obligated to view such sites. [ ] Results from Prior NSF Support: Required only for PIs and co-PIs who have received NSF support within the last 5 years. [ ] Human-resource information: Required for renewal proposals from academic institutions only. [ ] No page limitation, however, this section must include bibliographic citations only and must not be used to provide parenthetical information outside of the 15-page Project Description. Each reference must be in Big Data and Data Analytics Essay the specified format. [ ] Note limitation of 2 pages per individual; required for all senior project personnel.

The required information must be provided in the order and format specified. [ ] Proposal Budget: (cumulative and Essay Integration of University of Mississippi annual) [ ] Budget Justification (Note limitation of 3 pages per proposal.) [ ] Current and Pending Support: Required for all senior project personnel. [ ] Facilities, Equipment and Other Resources. [ ] Special Information and Analytics Essay example Supplementary Documentation: [ ] See GPG Chapter II.C.2.j for the types of information appropriate for submission in this section, as required. [ ] Any additional items specified in a relevant program solicitation. [ ] Note that GPG Chapter II.D contains special proposal preparation instructions for certain types of proposals. Exhibit II-2: Potentially Disqualifying Conflicts of Interest. Unless a waiver has been granted by NSF, a reviewer cannot review a proposal if: the reviewer, the on of University of Mississippi reviewers spouse, minor child, or business partner; the organization where the reviewer is employed, has an arrangement for Analytics, future employment or is negotiating for employment; or. the organization where the reviewer is an officer, director, trustee, or partner, has a financial interest in the outcome of the proposal. Unless a waiver has been granted by the yalta, NSF, a potential reviewer also may be barred from reviewing a proposal, if it involves individuals with whom he/she has a personal relationship, such as a close relative, current or former collaborator, or former thesis student/advisor. Unless a waiver has been granted by NSF, a disqualifying conflict may exist, if a proposal involves an institution or other entity with which the potential reviewer has a connection.

Such potentially disqualifying connections include: a reviewers recent former employer; an organization in which the reviewer is an active participant; an institution at which the reviewer is currently enrolled as a student, or at which he/she serves as a visiting committee member; or. an entity with which the reviewer has or seeks some other business or financial relationship (including receipt of an honorarium.) Exhibit II-3: Drug-Free Workplace Certification. Instructions for and Data example, Certification. By electronically signing the a child called NSF proposal Cover Sheet and submitting this proposal, the grantee is providing the Essay example certifications set out below. The certification set out below is a material representation of fact upon which reliance was placed when the agency determined to award the called grant. If it is later determined that the Big Data and Data Analytics Essay example grantee knowingly rendered a false certification, or otherwise violates the requirements of the Drug-Free Workplace Act, the a child it fake agency, in addition to Big Data Essay example any other remedies available to the Federal Government, may take action authorized under the Drug-Free Workplace Act.

For grantees other than individuals, Alternate I applies. For grantees who are individuals, Alternate II applies. Certification Regarding Drug-Free Workplace Requirements. Alternate I (Grantees Other Than Individuals) The grantee certifies that it will or will continue to provide a drug-free workplace by: (a) Publishing a statement notifying employees that the unlawful manufacture, distribution, dispensing, possession or use of a controlled substance is prohibited in the grantees workplace and specifying the actions that will be taken against employees for violation of such prohibition; (b) Establishing an ongoing drug-free awareness program to for Information Essay inform employees about -- (1) The dangers of drug abuse in the workplace; (2) The grantees policy of maintaining a drug-free workplace; (3) Any available drug counseling, rehabilitation and employee assistance programs; and.

(4) The penalties that may be imposed upon employees for drug abuse violations occurring in the workplace; (c) Making it a requirement that each employee to be engaged in the performance of the grant be given a copy of the statement required by Big Data and Data Analytics, paragraph (a); (d) Notifying the how did phillis wheatley herself? employee in the statement required by and Data Analytics Essay example, paragraph (a) that, as a condition of employment under the grant, the employee will -- (1) Abide by the terms of the statement; and. (2) Notify the employer in whats poverty writing of his or her conviction for a violation of Big Data and Data Analytics example a criminal drug statute occurring in the workplace, no later than five calendar days after such conviction; (e) Notifying the agency in writing, within 10 calendar days after receiving notice under subparagraph (d)(2) from an whats poverty employee or otherwise receiving actual notice of such conviction. Employers of Big Data and Data Analytics convicted employees must provide notice, including position title, to every grant officer or other designee on whose grant activity the convicted employee was working, unless the Atomic Federal agency has designated a central point for the receipt of such notices. Notice shall include the example identification number(s) of each affected grant; (f) Taking one of the following actions, within 30 calendar days of is Essential for Information Essay receiving notice under subparagraph (d)(2), with respect to any employee who is so convicted-- (1) Taking appropriate personnel action against such an employee, up to and including termination, consistent with the requirements of the Rehabilitation Act of 1973, as amended; or. (2) Requiring such employee to participate satisfactorily in a drug abuse assistance or rehabilitation program approved for Big Data and Data Analytics Essay, such purposes by a Federal, State, or local health, law enforcement, or other appropriate agency; (g) Making a good faith effort to continue to maintain a drug-free workplace through implementation of paragraphs (a), (b), (c), (d), (e) and of University of Mississippi (f). Alternate II (Grantees Who Are Individuals) (a) The grantee certifies that, as a condition of the grant, he or she will not engage in the unlawful manufacture, distribution, dispensing, possession or use of a controlled substance in conducting any activity with the grant. (b) If convicted of a criminal drug offense resulting from a violation occurring during the conduct of any grant activity, he or she will report the conviction, in Big Data and Data Essay example writing, within 10 calendar days of the conviction, to every grant officer or other designee, unless the Federal agency designates a central point for the receipt of such notices. When notice is made to such a central point, it shall include the identification number(s) of each affected grant. For NSF, grantee notification should be made to the Cost Analysis Audit Resolution Branch, Division of Institution Award Support, NSF, Arlington, VA 22230. Exhibit II-4: Debarment and Suspension Certification.

Instruction on Certification Regarding Debarment and Suspension. By electronically signing and the yalta conference submitting this proposal, the Essay prospective primary participant is providing the about certification set out below. The inability of Big Data and Data Essay a person to provide the certification required below will not necessarily result in denial of participation in this covered transaction. The Yalta Conference? The prospective participant shall submit an explanation of why it cannot provide the certification set out below. Big Data Analytics Example? The certification or explanation will be considered in connection with the called department or agency's determination whether to and Data Analytics example enter into this transaction. However, failure of the prospective primary participant to furnish a certification or an explanation shall disqualify such person from participation in this transaction. The certification in whats poverty this clause is any material representation of fact upon which reliance was placed when the department or agency determined to enter into this transaction.

If it is later determined that the prospective primary participant knowingly rendered an erroneous certification, in addition to other remedies available to the Federal Government, the Big Data and Data department or agency may terminate this transaction for cause or default. The prospective primary participant shall provide immediate written notice to about Atomic the department or agency to whom this proposal is submitted if at any time the prospective primary participant learns that its certification was erroneous when submitted or has become erroneous by Big Data example, reason of changed circumstances. The terms covered transaction, debarred, suspended, ineligible, lower tier covered transaction, participant, person, primary covered transaction, principal, proposal, and voluntarily excluded, as used in this clause, have the whats poverty meanings set out in the Definitions and Coverage sections of the rules implementing Executive Order 12549. You may contact the and Data Analytics example department or agency to how did phillis which this proposal is being submitted for assistance in obtaining a copy of those regulations. The prospective primary participant agrees by Big Data and Data, submitting this proposal that, should the proposed covered transaction be entered into, it shall not knowingly enter into any lower tier covered transaction with a person who is debarred, suspended, declared ineligible, or voluntarily excluded from participation in this covered transaction, unless authorized by the department or agency entering into this transaction.

The prospective primary participant further agrees by Essay Integration of University, submitting this proposal that it will include the clause titled Certification Regarding Debarment, Suspension, Ineligibility and Big Data Analytics Voluntary Exclusion - Lower Tier Covered Transaction, provided by the department or agency entering into this covered transaction, without modification, in about Energy all lower tier covered transactions. A participant in a covered transaction may rely upon a certification of a prospective participant in a lower tier covered transaction that it is not debarred, suspended, ineligible, or voluntarily excluded from the covered transaction, unless it knows that the certification is erroneous. A participant may decide the Big Data Analytics Essay method and about Atomic Energy frequency by which it determines the eligibility of its principals. Each participant may, but is not required to, check the Big Data and Data Analytics example Nonprocurement List. Nothing contained in the foregoing shall be construed to require establishment of a system of records in order to render in good faith the certification required by this clause. The knowledge and information of a participant is whats poverty not required to exceed that which is normally possessed by a prudent person in and Data Analytics Essay example the ordinary course of business dealings. Except for transactions authorized under paragraph 6 of these instructions, if a participant in a covered transaction knowingly enters into a lower tier covered transaction with a person who is suspended, debarred, ineligible, or voluntarily excluded from participation in this transaction, in addition to other remedies available to the Federal Government, the the yalta department or agency may terminate this transaction for cause or default. (1) The prospective primary participant certifies to the best of its knowledge and Analytics Essay belief, that it and its principals: (a) Are not presently debarred, suspended, proposed for debarment, declared ineligible, or voluntarily excluded from a covered transaction by how did phillis wheatley, any Federal department or agency; (b) Have not within a three-year period preceding this proposal been convicted of or had a civil judgment rendered against them for commission of fraud or a criminal offense in Big Data example connection with obtaining, attempting to obtain, or performing a public (Federal, State or local) transaction or contract under a public transaction; violation of Federal or State antitrust statutes or commission of embezzlement, theft, forgery, bribery, falsification or destruction of the yalta conference records, making false statements, or receiving stolen property; (c) Are not presently indicted for or otherwise criminally or civilly charged by Analytics, a governmental entity (Federal, State or local) with commission of any of the offenses enumerated in paragraph (1)(b) of this certification; and (d) Have not within a three-year period preceding this application/proposal had one or more public transactions (Federal, State or local) terminated for cause or default. (2) Where the prospective primary participant is unable to certify to any of the statements in about Atomic this certification, such prospective participant shall include an Big Data and Data explanation with this proposal. Exhibit II-5: Lobbying Certification. Instructions on Certification Regarding Lobbying.

This certification is required for an award of a Federal contract, grant or cooperative agreement exceeding $100,000 and for an award of distinguish a Federal loan or a commitment providing for the United States to insure or guarantee a loan exceeding $150,000. The Certification for Contracts, Grants, Loans and Cooperative Agreements also is Big Data and Data Analytics Essay included in full text on about the FastLane submission screen. Certification for Contracts, Grants, Loans and Cooperative Agreements. The undersigned certifies, to the best of his or her knowledge and belief, that: (1) No Federal appropriated funds have been paid or will be paid, by or on behalf of the undersigned, to any person for influencing or attempting to influence an officer or employee of any agency, a Member of Big Data example Congress, an officer or employee of Congress, or an employee of a Member of Congress in connection with the awarding of any federal contract, the making of any Federal grant, the making of Essay Atomic Energy any Federal loan, the Big Data and Data example entering into of any cooperative agreement, and the extension, continuation, renewal, amendment, or modification of any Federal contract, grant, loan, or cooperative agreement. (2) If any funds other than Federal appropriated funds have been paid or will be paid to any person for whats poverty, influencing or attempting to influence an officer or employee of any agency, a Member of Essay example Congress, an officer or employee of Congress, or an employee of a Member of Congress in connection with this Federal contract, grant, loan, or cooperative agreement, the Atomic undersigned shall complete and and Data Analytics submit Standard Form LLL, Disclosure of Lobbying Activities, in accordance with its instructions.

(3) The undersigned shall require that the phillis wheatley distinguish herself? language of this certification be included in the award documents for all subawards at all tiers including subcontracts, subgrants, and contracts under grants, loans, and cooperative agreements and that all subrecipients shall certify and disclose accordingly. This certification is Big Data a material representation of fact upon which reliance was placed when this transaction was made or entered into. Is Essential? Submission of this certification is a prerequisite for making or entering into this transaction imposed by Section 1352, Title 31, U.S. Code. Any person who fails to file the required certification shall be subject to a civil penalty of not less than $10,000 and not more than $100,000 for each such failure. Exhibit II-6: Nondiscrimination Certification.

Instructions for Nondiscrimination Certification. In accordance with NSF policy, a proposal for NSF funding must by Big Data and Data Analytics, accompanied by the nondiscrimination certification set out below. By electronically signing and submitting this proposal, the proposer is providing the requisite certification. The proposer shall provide immediate notice to the Foundation if at any time the is Essential for Information Systems Essay proposer learns that its certification was erroneous when submitted, or has become erroneous by reason of changed circumstances. Certification of Compliance with National Science Foundation Nondiscrimination Regulations and Policies. By electronically signing the proposal, the Authorized Organizational Representative hereby certifies that the organization will comply with Title VI of the and Data Analytics Essay Civil Rights Act of Essay on Integration of University of Mississippi 1964 (42 USC 2000d), Title IX of the Education Amendments of 1972 (20 USC 1681 et seq.), the Rehabilitation Act of 1973 (29 USC 794), the Age Discrimination Act of 1975 (42 USC 6101 et seq.) and all regulations and policies issued by NSF pursuant to these statutes. To that end, in accordance with the above-referenced nondiscrimination statutes, and NSFs implementing regulations and policies, no person in the United States shall, on the ground of race, color, national origin, sex, disability, or age, be excluded from participation in, be denied the benefits of, or be otherwise subjected to discrimination under any program or activity for which the Proposer receives Federal financial assistance from the Foundation; and HEREBY CERTIFIES THAT it will immediately take any measures necessary to effectuate this agreement. If any real property or structure thereon is provided or improved with the Big Data and Data aid of Federal financial assistance extended to a child called it fake the Proposer by the Foundation, this Certification shall obligate the Proposer, or in the case of any transfer of Analytics Essay such property, the called it fake transferee, for the period during which the real property or structure is used for a purpose for which the and Data Analytics Essay example Federal financial assistance is extended or for about Energy, another purpose involving the provision of similar services or benefits.

If any personal property is so provided, this Certification shall obligate the Proposer for the period during which it retains ownership or possession of the property. In all other cases, this Certification shall obligate the Big Data Essay Proposer for the period during which the about Atomic Federal financial assistance is extended to it by the Foundation. THIS CERTIFICATION is given in consideration of and for the purpose of obtaining any and all Federal grants, cooperative agreements, loans, contracts, property, discounts or other Federal financial assistance extended after the date hereof to the Proposer by the Foundation, including installment payments after such date on account of applications for Federal financial assistance which were approved before such date. The Proposer recognizes and agrees that such Federal financial assistance will be extended in reliance on the representations and agreements made in this Certification, and that the United States shall have the right to seek judicial enforcement of this Certification. This Certification is Big Data Analytics example binding on the Proposer, its successors, transferees, and Essay Integration of Mississippi assignees. Exhibit II-7: Definitions of Categories of and Data example Personnel. The personnel categories listed on parts A and B of the Proposal Budget are defined as follows: A. Senior Personnel. 1. (co) Principal Investigator(s) -- the individual(s) designated by the grantee and approved by NSF who will be responsible for the scientific or technical direction of the how did distinguish herself? project.

If more than one, the first one listed will have primary responsibility for the project and the submission of reports. 2. Faculty Associate (faculty member) -- an individual other than the Big Data Principal Investigator(s) considered by called, the performing institution to be a member of its faculty or who holds an appointment as a faculty member at Big Data and Data Essay example another institution, and who will participate in the project being supported. B. Other Personnel. 1. Postdoctoral Scholar -- An individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and of Mississippi defined period of mentored advanced training to enhance the professional skills and research independence needed to pursue his or her chosen career path. Postdoctoral scholars not identified under Senior Personnel above should be listed as Other Personnel. 2. Other Professional -- a person who may or may not hold a doctoral degree or its equivalent, who is considered a professional and is not reported as a Principal Investigator, faculty associate, postdoctoral scholar or student. Examples of persons included in Big Data Essay this category are doctoral associates not reported under B1, professional technicians, physicians, veterinarians, system experts, computer programmers and design engineers. 3. Graduate Student (research assistant) -- a part-time or full-time student working on how did phillis distinguish the project in a research capacity who holds at least a bachelors degree and Big Data and Data Essay example is enrolled in a degree program leading to an advanced degree. 4. Undergraduate Student -- a student who is on Integration enrolled in a degree program (part-time or full-time) leading to a bachelors or associates degree. 5. 6. These categories include persons working on the project in a non-research capacity, such as secretaries, clerk-typists, draftsmen, animal caretakers, electricians and custodial personnel regardless of whether they hold a degree or are involved in degree work.

Any personnel category for Analytics Essay, which NSF funds are requested must indicate, in the parentheses provided on the Proposal Budget, the Essay Integration of University number of persons expected to receive some support from those funds and, where called for Big Data and Data Analytics, in the budget format, person-months to the nearest tenth. 9 Requests for approval of a deviation from NSFs electronic submission requirement (including both FastLane and Grants.gov) must be forwarded to a child called it fake the cognizant NSF program for review and Big Data and Data Essay approval prior to submission of the paper proposal. Back to Text. 10 In addition to Atomic the typefaces identified above, Macintosh users also may use Helvetica and Palatino typefaces.Back to Text. 11 Further instructions for this process are available electronically on the FastLane website. Back to Text. 12 Detailed instructions for completion of this process are available electronically on Analytics example the FastLane website. Back to Text.

13 For consistency with the Department of Health and Human Services conflict of interest policy, in Cryptography is Essential Systems lieu of organization, NSF is using the term institution which includes all categories of proposers. Back to Text. 14 Detailed instructions submission of the SF LLL are available on the FastLane website. And Data? Back to Text. 16 Requests for Essay on of University, approval of a deviation from NSFs electronic submission requirement must be forwarded to the cognizant NSF program for review and approval prior to submission of the Analytics paper proposal. Back to whats poverty Text. 17 If the proposal includes use of Vertebrate Animals, supplemental information is required. See GPG Chapter II.D.5 for additional information.Back to Text.

18 If the Big Data Analytics Essay proposal includes use of Human Subjects, supplemental information is required. See GPG Chapter II.D.6 for additional information. Back to Text. 19 If the proposer has a website address readily available, that information should be included in phillis wheatley herself? the citation, as stated above. Big Data Analytics Essay? It is not NSF's intent, however, to place an undue burden on proposers to search for the URL of every referenced publication. Therefore, inclusion of a website address is optional. A proposal that includes reference citation(s) that do not specify a URL address is not considered to be in violation of NSF proposal preparation guidelines and the proposal will still be reviewed.Back to the yalta conference Text. 20 Detailed instructions for submission of confidential budgetary information are available on the FastLane website.

Back to Text. 21 See also the NSF Grant General Conditions (GC-1) for additional information on use of US-Flag Air Carriers at https://www.nsf.gov/pubs/gc1/gc1_31506.pdf. Big Data And Data? Back to Text. 22 Proposers are advised that the GC-1 requires the Cryptography is Essential Systems Essay grantee to obtain written authorization from the cognizant NSF program officer prior to the reallocation of funds budgeted for participant support.Back to Text. 23 For all funds awarded prior to March 15, 2006, payment for Big Data and Data Analytics example, a consultants services may not exceed the whats poverty daily equivalent of the then current maximum rate paid to an Executive Schedule Level IV Federal employee (exclusive of indirect cost, travel, per diem, clerical services, fringe benefits and supplies).Back to Text. 24 The term subaward also includes contracts, subcontracts and other arrangements. Back to Text. 25 See AAG Chapter V.C.4 for specific instructions and Essay example requirements regarding the about Atomic Energy allowability of relocation costs under NSF awards. Back to example Text.

26 If proposed, the estimated value of any in-kind contributions should be included on Line M. An explanation of the source, nature, amount and availability of called it fake any proposed cost sharing also must be provided in the budget justification. Section .23 of OMB Circular A-110 describes criteria and procedures for the allowability of cash and in-kind contributions in satisfying cost sharing and Big Data Analytics Essay matching requirements.Back to how did distinguish Text. 28 Separately submitted collaborative proposals must be submitted via FastLane as Grants.gov does not currently support this type of functionality.Back to Text. 29 Detailed instructions for and Data Essay example, the electronic preparation and submission of collaborative proposals are available on the FastLane website at https://www.fastlane.nsf.gov/NSFHelp/flashhelp/fastlane/FastLane_. 30 See AAG Chapter IV.D for additional information on the administration of of University of Mississippi equipment awards.

Back to Big Data Essay example Text. 31 Costs associated with conferences, symposia, workshops or other meetings supported by an NSF grant must be specifically and of Mississippi clearly identified in the proposed scope of work and budget, and approved by NSF. Additional information on Big Data and Data Analytics example the charging of conference, symposia and workshops is contained in wheatley distinguish herself? AAG Chapter V.C.5. Back to and Data Analytics Essay Text. 32 Examples illustrating activities likely to demonstrate broader impacts are available electronically on the NSF website at https://www.nsf.gov/pubs/gpg/broaderimpacts.pdf. Back to called Text.

National Science Foundation, 2415 Eisenhower Avenue, Alexandria, Virginia 22314, USA Tel: (703) 292-5111, FIRS: (800) 877-8339 | TDD: (800) 281-8749.

Online Essay Writing Service - Big data and analytics - ICAEW com

Nov 17, 2017 Big Data and Data Analytics Essay example,

Write my essay, paper - Big data: changing the way businesses compete and operate - EY

Diogenes Or Lucidity Essays and Research Papers. Ezra Hochman Wednesday/Friday 12:25-2:05 Diogenes vs. Socrates: What is a life of worth? One can either write the story of and Data Analytics Essay their own life, . Is Essential For Information Systems. or let other people and circumstances write it for him. And Data Analytics Essay. Too often do citizens of the world follow the Atomic Energy assumptions of and Data Analytics Essay society, as personal independence can seem frightening or uncomfortable. Both Socrates and whats poverty, Diogenes were of the mind that the purpose of human life is to constantly better ones self by way of personal and spiritual growth.

We are unable to. Athenian democracy , Human , Life 1805 Words | 5 Pages. Diogenes of Sinope He believed that virtue was better revealed in action than in theory. He used his simple lifestyle and behaviour to . criticise the social values and institutions of and Data Essay what he saw as a corrupt society. He declared himself a cosmopolitan. Diogenes made a virtue of poverty. He begged for a living and slept in a large ceramic jar[4] in the marketplace. He became notorious for his philosophical stunts such as carrying a lamp in whats poverty, the daytime, claiming to be looking for an honest man. He. Cynic , Epictetus , Hellenistic philosophy 3783 Words | 11 Pages.

Example of a Personal Response for a Pervious Year Diploma (2009) he walks about in his business suit. In the excerpt from The Orchid Thief by Susan Orlean, Laroche is characterized as an individual who pursues his personal . obsessions while maintaining an unconventional code of conduct. In Gilbert Garcins Diogenes or Lucidity , a man in an overcoat and Big Data and Data Analytics Essay example, business suit carries a light bulb. The Assignment What do these texts suggest about the conflict between pursuing a personal desire and choosing to conform? Support your idea(s) with reference to one or more of the. Choice , John Laroche , Meaning of Essay Atomic life 1041 Words | 3 Pages. that youve ever lived or maybe even create one that you would want to live through?

B. My name is Gaby Arrazolawill introduce term Lucid Dreaming C. . (a) What exactly Lucid Dreaming means and origins (b)The step-by-step process in reaching lucidity (c)Purpose/significance behind lucid dreaming Transition #1:Knowinglylearning something new II. Body A. What is Lucid Dreaming and how did it come about? 1. Jouvet, Michel author of Paradox of Sleep: the Story of Dreaming, states a dream. Dream , Dream journal , Dreaming 404 Words | 3 Pages. mystical level of consciousness that the and Data Essay example vast majority of the general population is unfamiliar with. That level of consciousness is none other than lucid . dreaming. The Yalta. By definition, a lucid dream is a dream in which one is and Data Analytics, aware that they are dreaming. ( Lucidity Institute) Much unlike a regular dream, a lucid dream enables dreamers to be mentally conscious within their own dream world. They are in addition capable of controlling and manipulating its contents to their advantage, becoming a shape-shifter of.

Dream , Dream journal , Dreaming 1640 Words | 5 Pages. history, this figure on the steps has been identified as Diogenes the Cynic. Diogenes philosophy encouraged men to live a life . of simplicity and to reject all forms of luxury. He sought to expose the falsity of most conventional standards set by society. While Diogenes was a philosopher of conference significant stature he does not measure up to the over arching influence of the famed Socrates. Big Data And Data Analytics Example. This figure has been widely accepted as Diogenes because of his apparent demeanor and clothing. The figure. Aristotle , Florence , Italian Renaissance 1777 Words | 5 Pages. As shown by the famous cynic, Diogenes , who lived in a discarded clay jar for years, this often involved the complete withdrawal from . civilization. In a story that best describes the mind-set of how did phillis wheatley distinguish a Cynic, Alexander the Great found Diogenes in his clay jar and asked if it was true that he had no desire for worldly possessions.

Diogenes replied simply, I only want one thing get out of Analytics example my light. The reply to move out the phillis distinguish sunlight is a classic example Cynicism. Diogenes only wants that of the sun, a. Asceticism , Cynic , Epictetus 867 Words | 3 Pages. exceptionally interesting. Lucid dreaming is Big Data and Data example, defined as dreaming when the dreamer knows that they are dreaming. Whats Poverty. The term was coined during the 1910Os by . Frederik van Eeden who used the word lucid in the sense of mental clarity (Green, 1968). Lucidity usually begins in the midst of a dream, when the dreamer realizes that the experience is not occurring in physical reality, but is a dream. Often this realization is triggered by the dreamer noticing some impossible or unlikely occurrence in the.

Dream , Dreaming , Lucid dream 1935 Words | 6 Pages. the beautiful landscapes, delicious food and Big Data and Data Essay example, strong and stable economy. About Atomic Energy. Project Desciription * Monday, April 22: Assemblage Members: Rodriguez . Cruz Luis Edder Perez Aboytes Alejandro Zanabria Martinez Jorge Alberto Lezama Gomez Diogenes Ivan Silva Aguilar Itzel Abigail Leader: Zanabria Martinez Jorge Alberto We are going to create and assemble the stand that we need for Tuesday and present most of the things that we have of Austria. We are going to use the Big Data and Data Analytics Essay example tables of a child called the. 1968 births , 1972 births , 1974 births 860 Words | 5 Pages.

The Connection Between the Little Mermaid and Hoarding. moved into use as a descriptor of human behavior. There are also different types of hoarders. These include Clinical compulsive hoarding, OCD or . perfectionist hoarding, animal hoarding, and Diogenes syndrome. Clinical compulsive hoarding is the Big Data Essay most common type, while Diogenes syndrome is very rare.

Diogenes syndrome is a disorder of self-neglect that is associated with severe personality disorders, most common in the elderly. Most of the research carried out on compulsive hoarding is around the. Body dysmorphic disorder , Collecting , Compulsive hoarding 953 Words | 3 Pages. Lucid Dreaming - What It Is and Why You Should Learn It. more to motivate them. My goal with this paper is to provide that. Research has grown in how did wheatley herself?, the past two decades showing that lucid dreaming has positive . benefits in our everyday lives. Big Data And Data Analytics Example. It is something anyone can learn.

What is the yalta, lucid dreaming? The Lucidity Institute, founded by researcher Stephen LaBerge, a significant figure in dream research, defines lucid dreaming as, Lucid dreaming means dreaming while knowing that you are dreaming. A lucid dream is not a typical dream. In a lucid dream, there. Dream , Dreaming , Lucid dream 2262 Words | 7 Pages. themselves. Living out the teaching of Analytics example Diogenes (Sinope) will surely improve the Philippines.

Diogenes (Sinope), archetype of . the Cynics, a Greek philosophical sect that stressed stoic self-sufficiency and the rejection of the yalta luxury. Diogenes was a student of Big Data Analytics Essay Antistheness. He lived in great poverty, probably begging and stealing his food, and steadfastly disdained all forms of luxury. He made his life a protest against what he thought of as a corrupt society. Diogenes believed that we are happiest when. Corruption , Corruption Perceptions Index , Cynic 520 Words | 2 Pages. PSY 303 Week 5 Assignment Final Paper. Paper For your Final Paper, select one of the following disorders to investigate: 1. Repressed memories 2. A Child Called It Fake. Post-Traumatic Stress Syndrome . (PTSD) 3. Coprolalia 4. Wendigo Psychosis 5. And Data Analytics Example. Gambling 6. Stockholm Syndrome 7. Diogenes Syndrome Present a thorough overview of the chosen disorder.

Your audience has no prior knowledge of this disorder; therefore, be sure your explanations are relevant to your audience. When writing your paper, it is critical that you convey. Complex post-traumatic stress disorder , English-language films , Peer review 629 Words | 3 Pages. A lucid dream is a dream in which you know you are dreaming. This happens when we experiences something strange, and Essay, when we stop to question their . Big Data And Data Analytics. reality, we will realize we are in a dream. There is some confusion about the difference between lucidity and dream control. The two are related, but one can happen without the other. Integration. For example, many of us experience little or no control in some dreams. On the other hand, it is possible to exercise some dream control without being aware that it is.

Dreaming , Facebook , Lucid dream 1676 Words | 5 Pages. Review of Measuring Consciousness in Analytics Essay, Dreams: the Lucid Scale. Measuring consciousness in dreams: The lucidity and consciousness in dreams scale Ursula a a,b, Voss Karin a, Schermelleh-Engel . Jennifer c, Windt Clemens d, Frenzel Allan e Hobson J.W. Geothe University, Department of Psychology, Frankfurt, Germany, b Vitos Hochtaunus GmbH, Waldkrankenhaus Koeppern, Germany, c Johannes Gutenberg University Mainz, Germany, d Rheinische Freidrich-Wilhelms University, Department of Psychology, Bonn, Germany, e Harvard Medical School. Consciousness , Dream , Dreaming 1216 Words | 5 Pages. readers imagination can be kindled Critical appreciation Hills command over English language needs true appreciation, only a child it fake those will be able to . appreciate who, themselves have appropriate knowledge of this language. His epigrammatic style and lucidity of example expression is remarkable; Through this essay all that he wanted to do is teach the rules and regulations of good writing, and throughout the essay we find such tips.

The formal tone is maintained throughout the essay. The Yalta. All the paragraphs are neatly. Critical thinking , English language , Essay 884 Words | 3 Pages. Lucid dreaming means dreaming while knowing that you are dreaming. The term was coined by Frederik van Eeden who used the Big Data and Data Analytics word lucid in the sense of . mental clarity. Lucidity usually begins in the midst of a dream when the dreamer realizes that the experience is how did phillis wheatley, not occurring in physical reality, but is a dream. Often this realization is triggered by the dreamer noticing some impossible or unlikely occurrence in the dream, such as flying or meeting the deceased. Sometimes people become lucid without.

Dream , Dreaming , Frederik van Eeden 475 Words | 2 Pages. Managerial Issues, 273-292. This article investigates one aspect of Big Data and Data example social comparisons: to conference, whom do individuals compare themselves. Retrieved from the . University Library Petty, R. E. Example. (2008). Psychological Processes Underlying Persuasion. Diogenes , 52-67. This article reviews contemporary social psychological perspective on persuasion.

Retrieved from the University Library . Behavior , Behaviorism , Human behavior 471 Words | 3 Pages. Euclid (Reprinted by Kessinger Publishing LLC 2005 ed.). On Of University Of Mississippi. Hodges, Figgis, amp; Co. p. 26. ISBN 143260662X. The discovery of the law of Big Data Essay example three squares, . commonly called the theorem of called Pythagoras is Big Data, attributed to him by amongst others Vitruvius, Diogenes Laertius, Proclus, and Plutarch . 2. ^ (Heath 1921, Vol I, p. 144) 3. Phillis Distinguish Herself?. ^ Otto Neugebauer (1969).

The exact sciences in antiquity (Republication of Big Data 1957 Brown University Press 2nd ed.). Essay About Atomic. Courier Dover Publications. p. 36. ISBN 0486223329. Babylonian mathematics , Euclidean geometry , Geometry 560 Words | 3 Pages. Multiple Choice Questions on Greece. ? 45. 1. The three great Greek classical philosophers are a. Eurypides, Pericles, and Darius. b. Diogenes , Euclid, and Big Data and Data Analytics, Ptolemy. c. . Achilles, Hippocrates, and Sappho. d. Aeneid, Antigone, and Aristophanes. e. Socrates, Plato, and Aristotle. 2. What can be considered the symbol of Athenian naval success? a. The gunboat b. The trireme c. The astrolabe d. On Of University. The rowers e. The lateen sail Spar 3.Sparta became a highly militarized society.

Ancient Greece , Greece , Greek language 466 Words | 5 Pages. essential human virtue. Big Data Example. 2. A necessity for society. 3. About Energy. Important for Big Data and Data Analytics Essay example integration of separate entities. Whats Poverty. 4. Gives significance of life. 5. Educated . men are .superior. Big Data Analytics Essay Example. Aristotle 6. Sign of Cryptography for Information Systems Essay freedom. Big Data Analytics Example. Epictetus 7. Integration Of Mississippi. A controlling grace. Diogenes 8. Basis of good life.

1. An essential human virtue Education is an essential human virtue. Man becomes 'man' through education. Example. He is what education makes him. It has been rightly said that without education, man is a splendid slave, reasoning. Childbirth , Human , Meaning of life 351 Words | 2 Pages.

tribesmen who were a nuisance to the Saljuq rule. The Ghuzz tribesmen had been crossing the Byzantine borders. This was unintended battle between Byzantine . forces led by their Emperor Romanus Diogenes and the Saljuq troops led by Sultan Alp Arslan. The Byzantine army was defeated and Emperor Romanus Diogenes was captured. After the battle of Manzikert, the on Integration Byzantine Empire had never recovered to and Data Analytics Essay example, its fullest capacity. After the war, Ghuzz tribesmen moved into eastern and central Anatolia. They. Alp Arslan , Anatolia , Battle of the yalta conference Manzikert 996 Words | 3 Pages.

is in the bottom of the frame almost directly below, poring over a book with a few onlookers surrounding. To his right, Heraclitus (a portrait of . Michelangelo) is propped on one elbow against a small block of marble, writing on a sheet of paper. Diogenes (or Socrates, depending on whose opinion you're hearing) reclines on the stairs next to him, and moving to the right, we find another group, with Euclid in the center, bent forward using a compass. Others in the group include what is Big Data and Data Essay, believed to. Florence , Fresco , Plato 1390 Words | 5 Pages.

forward to the fact that all of Essay Energy these journeys are factual. With having that in mind, the readers are more likely to have their reading experience enhanced. . The author uses extremely clear and vivid vocabulary which keeps the reader excited. And Data. The lucidity of Ellis wordplay is superb; there isnt often any confusion of what the author means. This story is whats poverty, well developed; the novel is in chronological order for the most part, in the beginning it starts out Big Data Analytics with him as a child and so forth. Overall. Cherokee , Chuck Palahniuk , Daniel Boone 1047 Words | 3 Pages. Distinctive Features of Modernism and Realism. access to whats poverty, the mind of every character), reliable narrator (we trust him), intrusive narrator 6. The basic structure in Realist novel is linear, . chronological, spacial as well as temporal contiguity; metonymic structure, synecdoche 7. Lucidity of style, intelligibility, unity, coherence of the narrative 8. Closed ending 9. Metonymic symbols prevail (appropriate to and Data Essay example, the context) M: 1. The Modernist novel gives priority to form 2. Essay Energy. Characters are of little importance. Life , Meaning of life , Mind 663 Words | 3 Pages. we could not live without wearing clothes.

That symbolizes human beings should have a religion just like the clothes. In Sartor Resartus, it describes the . life of lone German, Diogenes Teufelsdrockh, and his experience from The Everlasting No to The Everlasting Yea via The Center of Indifference. First, Diogenes Teufelsdrockh falls in love with a pretty woman; however, the and Data Essay example relationship between them does not go as well as they expect. After that, he loses the confidence and self-respect. Clothing , Faith , Human 490 Words | 2 Pages. types of dreams. The Yalta. Nightmares, lucid dreams, and Big Data Analytics example, recurring dreams are some that have many similarities and also many differences. Nightmares are disturbing . dreams that often cause the dreamer to awaken suddenly, feeling anxious and phillis wheatley, frightened (The Lucidity Institute Answers Frequently Asked Questions about Lucid Dreaming). Nightmares are common among the human race; nearly everyone has experienced a nightmare at least once in their lifetime (Dream Moods). And Data Analytics. Lucid dreams are normal dreams that occur.

Dream , Dream journal , Dreaming 532 Words | 2 Pages. Aristotle tutoring Alexander, byJean Leon Gerome Ferris. Alexander pardoned the rebels. The famous encounter between Alexander and Diogenes the Cynic occurred during Alexander's stay in Corinth. When . Alexander asked Diogenes what he could do for him, the philosopher disdainfully asked Alexander to stand a little to the side, as he was blocking the sunlight.[56] This reply apparently delighted Alexander, who is reported to Essay, have said But verily, if I were not Alexander, I would like to be Diogenes .[57] At Corinth Alexander took the title of Analytics Essay Hegemon (leader). Alexander the of University of Mississippi Great , Ancient Greece , Ancient Macedonians 2487 Words | 7 Pages. End: Wow! Implausible!

Fireworks of rapid moving steps. A blend of meticulous, point work, precise and and Data Analytics example, weightless acrobatic movements. . Diogenes (English Play): Following the series comes a play which dates back to wheatley distinguish, the 340 B.C. Athens in the reign of Alexander: The Great and Big Data Analytics, depicting the story of Diogenes , a playful philosopher. On. How Diogenes who wears only a blanket and Big Data and Data, bags in the city, challenged the called it fake beliefs and values of his fellow citizens, let us have a look. End: rhu ch?kk t+ehu. Dance , Hip hop dance , Hip-hop dance 1909 Words | 7 Pages. How does the impossibility of certainty affect Hamlet? the fact that he can be considered mad. Big Data And Data Analytics. However, some things in how did herself?, the play already implant doubt in the spectators mind. His lucidity , for . instance, is what makes us think he is still sane; however, when Ophelia loses her mind (and, for her, no doubt is possible), she distributes flowers that correspond to each character in their most intimate secrets, showing a certain lucidity in madness.

We are therefore incapable of knowing the truth about Hamlets madness. Some people have made of Hamlet a play. Characters in Hamlet , Epistemology , Hamlet 447 Words | 2 Pages. accepts the fundamental interconnectedness of Big Data all things. Political, geographic borders become irrelevant and solutions to today's challenges are seen to be . beyond the narrow vision of national interests. Proponents of this philosophy often point to the yalta conference, Diogenes of Sinope (c. 412 B.C.) as an Big Data Analytics Essay example example, given his reported declaration that I am a citizen of the world (kosmopolites) in response to called it fake, a question about his place of origin.[13] A Sanskrit term, Vasudhaiva Kutumbakam, has the meaning of 'the world. BBC World Service , Citizenship , Community 718 Words | 2 Pages. the human species.

In other hand, Philosophy of culture was first recognized as a field of inquiry by the Sophists, who formulated the antinomy of the . natural and Big Data Analytics, the moral, the latter to be identified with culture (IU. Essay About Energy. N. DAVYDOV). According to Diogenes of Sinope and Antisthenes, the only way to return to culture goes with the Big Data and Data Analytics Essay example hand of Essay on of University of Mississippi our nature (1). Concluding that the human being necessarily have to return to Analytics Essay, his pure nature to find himself. Thus people can discover that the necessity of being. Anthropology , Culture , Human 834 Words | 3 Pages.

together for a common cause, connecting in a world of strangers. Recognising common humanity Connecting across differences Accountability and responsibility . Ethical concerns and empathy Situating Cosmopolitan Cosmo- world/universe + Polites- citizen Diogenes I am a citizen of the world Jonathan Corpus Ong: The Cosmopolitan Continuum Closed Cosmopolitan- reluctant to engage with others within the world Instrumental Cosmopolitan- Ego centric, purpose for self, class, suggests that travel makes you. Anthropology , Culture , Identity 808 Words | 5 Pages. sources, most modern scholars believe that he was born in Athens between 429 and 423 BC.His father was Ariston. Name According to Diogenes . Laertius, the philosopher was named Aristocles after his grandfather, but his wrestling coach, Ariston of Argos, dubbed him Platon, meaning broad, on account of his robust figure.According to the sources mentioned by Diogenes (all dating from the Alexandrian period), Plato derived his name from the breadth (platytes) of his eloquence, or else because he was.

Aristotle , Ethics , Nicomachean Ethics 1764 Words | 6 Pages. Hylemorphism is defined, as all reality is a distinct, non-separable combination of matter and form. This section of metaphysic allows space for matter to whats poverty, . change form and a little more room for imagination in general. In A Pre-Socratics Reader I believe Diogenes Laertius and Herodotus to be the Big Data and Data Analytics example most hylemorphism philosophers. As materialism and how did phillis wheatley distinguish herself?, idealism believe in Essay, two completely different experiences after death, I think hylemorphism think that people reincarnate because they believe that forms will change. Aristotle , Materialism , Metaphysics 905 Words | 3 Pages. to action. But this intellectual atmosphere needs to be balanced effectively with opportunities for them to develop their own ideas and to question, revise, . and criticize the ideas of others.

They may grasp a new concept with frightening speed and lucidity but may require more time to Essay on of University, think things through and put the new learning into action. And Data Analytics Essay. The demand for logical consistency means they have a strong need to question and test ideas. Finally, their concern with intellectual content and reasoning sometimes. Cognition , Education , Emotion 986 Words | 2 Pages. these few lines, he reaches down inside his isolated heart to find that hell is within his own self. While on the topic of hell and depression, Lowell . somehow sinks deeper as the poem goes on. Altieri says that he has reached the Ultimate lucidity by denying the things he has been seeking. This brings him to a dark night of the soul, a traditional religious image.(Altieri) Here, Altieri says he encounters the ultimate nothingness or absence of the yalta conference meaning. Lowell for Essay example some reason now. Into the Void , Life Studies , Lowell High School 867 Words | 3 Pages.

consciousness in the event of death so that one could consciously encounter the path to the other world. Recurrent nightmares have been shown to be . Cryptography Is Essential Essay. alleviated by Big Data and Data Essay example lucid dream induction, though it remains unclear whether this alleviation is because of lucidity itself or the ability to alter some aspect of the dream. Blagrove, Farmer and Williams found that lucid dreaming reduced nightmare suffering, but nightmare frequency remained unchanged. Lucid dreaming is still being studied to is Essential Systems, this day. Current attempts. Dream , Dream journal , Dreaming 772 Words | 2 Pages.

Deceleration of Independance Essay. become somewhat of an American creed as Seymoure Martin Lipset explains in his book American Exceptionalism; A double edged sword that America is the only . nation that is founded on and Data Analytics example a creed. That creed is set forth with dogmatic and even theological lucidity in the Declaration of Independence, (washingtonpost.com). The values of Essay about Atomic liberty, egalitarianism, individualism, populism, and laissez-faire are what helped construct the 13 colonies during reconstruction. Tocqueville believed that freedom and religion.

American Revolution , British Empire , New Jersey 1048 Words | 3 Pages. The dagger speech (32-65) is, deservedly, one of the most celebrated in Shakespeare. Big Data And Data Analytics Essay. Like If it were done (Act I, Scene 7), this soliloquy is Essay Energy, a . fascinating piece of Big Data and Data stage psychology. The structure of the lines precisely echoes the swings from lucidity to on of Mississippi, mental disturbance that characterize Macbeth throughout the play. There are three false alarms: I see thee still . . . Big Data Analytics Essay Example. I see thee yet . . . I see thee still! Between each of these alarms comes a moment of respite in which Macbeth appeals to. Banquo , Dream , Dream Come True 855 Words | 3 Pages. express Dorian Grey as a character of purity and called it fake, youth. For example, while Basil is describing the first time he met Dorian, he says that, When our eyes . met, I felt that I was growing pale (9.) This suggests that the color white resembles a kind of and Data example lucidity , as if Dorians righteousness eases all that he communicates with.

Likewise, Lord Henry frequently describes Dorians youth as his, rose-white boyhood (21.) and, the white purity of whats poverty boyhood (37.) In both quotations, the color white is used the. Dorian Gray syndrome , Meaning of life , The Picture of Dorian Gray 916 Words | 3 Pages. turn into unchecked greed? That's easy: when the Big Data Essay example things that you possess start possessing you. Dale E. Basye and Bob Dob, in Rapacia: The Second Circle of . Heck (2009), Backword, p. 361 The sinews of business (or state). Bion. In Life of Bion by whats poverty Diogenes Laertius, Book IV, Chapter VII, Section 3. Reported in and Data, Hoyt's New Cyclopedia Of Practical Quotations (1922), p. 521-24.

A lot of whats poverty money goes to money-heaven. Bjorgolfur Thor Bjorgolfsson, explaining the evaporation of paper wealth in the 20082009. Money , William Blake , William Jennings Bryan 882 Words | 3 Pages. Youth offers the promise of happiness, but life offers the realities of Analytics Essay example grief. ? Nicholas Sparks, The Rescue Good habits formed at youth make all . the difference. Aristotle The foundation of Energy every state is the education of its youth. Big Data And Data Analytics Example. Diogenes The youth is the about hope of our future. Jose Rizal YouthLeader has a clear focus. training youth for leadership! YouthLeader is a proven youth leadership development program. YouthLeader focuses on helping young people learn skills, gain. Leadership , Learning , Organizational studies and human resource management 869 Words | 4 Pages. novel of the same name written by gonzo journalist Hunter S. Thompson.

Though at its surface it seems to simply capture the highs and lows of a drug-fueled . weekend in Sin City, Gilliam insists that the film engross you until you question your own lucidity . Raoul Duke, the semi-autobiographical character based on Thompson, is Analytics example, outstandingly portrayed by Johnny Depp, who spent the months leading up to shooting the a child called it fake film living in Thompsons basement in order to get a better feel for Big Data and Data Analytics Essay example the character. Benicio del Toro , Fear and Loathing in Las Vegas , Gonzo journalism 627 Words | 2 Pages. Mirabell and Millament Relationship. in the emergence of lovers who through a balance of the yalta conference intense affection and cool self-knowledge achieve an Big Data and Data equilibrium that frees them from the called worlds power. Big Data. . As the title of the how did phillis distinguish herself? play The Way of the World suggests, they have assimilated the rational lucidity of sceptical rake so that they can use the and Data example world and reject its demands. Husband , Love , Marriage 1048 Words | 3 Pages. the simple diction and Energy, stream of consciousness as Ellen searches herself for and Data Analytics example the true person she is. Gibbons uses this to whats poverty, show the Big Data and Data Essay reader how Ellen is an . average girl who enjoys all of the things normal children relish and to contrast the naive lucidity of the sentences to the yalta, the depth of the conceptions which Ellen has such a simplistic way of explaining. Example. #9;Gibbons' and Ellen's harrowing past is related in the novel through Ellen's inner thoughts and the dialogue between characters.

However. Character , Ellen Foster , Fiction 769 Words | 4 Pages. Why Van Gogh's Starry Night Is Expressionist. impressionist painter. Called It Fake. His palate was lightened and Analytics example, he started to is Essential for Information, use very short brushstrokes, just as the Big Data and Data Analytics Essay impressionist's did. Because of Essay about hardships in his . Big Data Essay Example. life such as unhappy romances and bad relationships with friends, he fell into fits of madness and lucidity , which lead him to Cryptography is Essential Essay, the asylum in Saint-Remy for help (The Vincent Van Gogh Gallery). While in the asylum, he was determined to prove himself equal of Big Data Analytics his fellow artists, and produced what is known today as one of the best expressionist paintings. Expressionism , Impressionism , Modern art 898 Words | 3 Pages.

The Loss of Humanity: the whats poverty Dehumanization of the Big Data Analytics Jews. of thinking of anything at all. Our senses were blunted; everything was blurred as in a fog. It was no longer possible to grasp anything. Phillis Herself?. The instincts of . Big Data And Data Analytics Example. self-preservation, of self-defense, of pride, had all deserted us. In one ultimate moment of lucidity it seemed to me that we were damned souls wandering in the half-world, souls condemned to wander through space till the generations of man came to an end (45). And it was this loss of self that broke many peoples spirits. Camps like Auschwitz. Antisemitism , Auschwitz concentration camp , Elie Wiesel 954 Words | 3 Pages. white posts.

The poetry of art is in beholding the single tower; the Essay poetry of nature in and Data Analytics Essay example, seeing the single tree; the whats poverty poetry of love in Big Data and Data, following the how did wheatley distinguish herself? single . woman; the poetry of religion in worshipping the single star. And so, in Big Data and Data, the same pensive lucidity , I find the poetry of all human anatomy in standing on whats poverty a single leg. To express complete and perfect leggishness the leg must stand in sublime isolation, like the tower in the wilderness. As Ibsen so finely says, the strongest leg is that which stands. Grasshopper 972 Words | 3 Pages.

in our life. Bacon has the power of compressing into and Data Analytics a few words a great body of thought. Thus he puts forward the three basic purposes of studies: Studies . It Fake. serve for delight, for ornament, and for Big Data Essay example ability. He later expands his sentence to bring lucidity and clearness. Studies fill us delight and aesthetic pleasure when we remain private and solitary.

While we discourse, our studies add decoration to our speech. Further, the men of study can decide best on the right lines in business and politics. Consciousness , Mind , Perception 718 Words | 2 Pages. same division, and a senior manager of other division. The board evaluates the Atomic Energy candidates along the following factors: Style of Analytics example self introduction by the . Systems Essay. candidate, his general knowledge and knowledge of Big Data Analytics Essay his subject, clarity of thought and logic, lucidity of whats poverty expression, tolerance of Big Data and Data Essay example others views, persuasiveness and leadership qualities. Each selector is given a blank sheet to evaluate the candidates. He evaluates the candidates individually. After the group discussion, personal interview is conducted. Board of directors , Candidate , Computer program 829 Words | 3 Pages. Coffee and Tea Preference and Addiction. that long-term caffeine use is likely to increase potentially dangerous withdrawl symptoms including: Headaches, fatigue, depressed mood, irritability, and . lack of motivation.

Furthermore, the conference benefits that caffeine provides like increased energy, lucidity , and feeling of well-being are only evident in caffeine withdrawn individuals (those with 8 hours sleep), and not in those who have been pre-loaded with caffeine an hour earlier. And Data. Previous twin-study research had revealed that there was some heritability. Addiction , Caffeine , Coffee 759 Words | 3 Pages. A Response to Modernist Painting by Clement Greenberg Post-Painterly Abstraction by Cryptography is Essential Essay Clement Greenberg. this style. The reaction moved toward linear clarity and Big Data and Data Essay example, physical openness of design. To these qualities the new paintings owe a sense of freshness that . became a new trend in on Integration of University, Abstract Painting. This new trend also included high keying as well as lucidity of Big Data and Data Analytics Essay example their color.

Many of them stress contrasts of pure hue and tend to Atomic Energy, avoid thick paint and tactile effects. Most of the art also has a geometrical regularity. This trend however is Big Data Analytics example, exactly that and does not constitute a school or fashion. About Atomic. On the. Abstract expressionism , Art , Art movements 816 Words | 3 Pages.

Dante Gabriel Rossetti's My Sister Sleep transitional age. According to Gilmour, they were anxious inheritances of Romanticism. They felt that their ancestors lived in and Data, simpler world. Their problem . Cryptography Is Essential For Information Essay. was to create artistic sense of the materialism in human history. They tried to Big Data and Data Analytics Essay, represent the lucidity of the past [medieval literature] in their present works. Gilmour also argued that first and foremost, it was a movement of young men.

When it was formed in Millais?s house, Millais himself was only nineteen years old. The movement first was associated. Dante Gabriel Rossetti , Jane Burden , John Everett Millais 1782 Words | 9 Pages. mightas Simplicius ((a) On Aristotle's Physics, 1012.22) tells us Diogenes the Cynic did by silently standing and walkingpoint out that it is . Energy. a matter of the most common experience that things in fact do move, and that we know very well that Atalanta would have no trouble reaching her bus stop. But this would not impress Zeno, who, as a paid up Parmenidean, held that many things are not as they appear: it may appear that Diogenes is walking or that Atalanta is running, but appearances can be deceptive. 0.999. , Actual infinity , Georg Cantor 3055 Words | 7 Pages. Summary of Four Hellenistic Principles. believed that privacy and personal friendships were much more important than being involved in human affairs.

Today, Epicureanism is corrupted, and Big Data Analytics Essay, usually . Essay Energy. refers to people who like gourmet food. CYNICISM: The key philosopher for Cynicism was Diogenes (c. 412-320 B.C.). The Cynics were philosophical rebels. Big Data And Data. They violated laws and exposed corruption and hypocrisy in called it fake, their society. Big Data Example. They believed that people should live a simple and self-sufficient life as nature intended. They also believed that.

Cynic , Hellenistic philosophy , Philosophy 357 Words | 2 Pages. attempt to raise my support to go. The church is not doing their jobs to relay the message that it is how did wheatley distinguish, up to each of us to and Data Analytics example, be the shakers and the shiners . A Child. (salt and light) because way too many people view the mission as optional. Bibliography Diogenes Laertius, 8.41 (available online, retrieved on Big Data Essay November 11, 2012) from http://www.mikrosapoplous.gr/dl/dl08.html Merriam Webster. Retrieved on November 9, 2012 from http://www.merriam-webster.com/dictionary/theology Moreau, Scott A.; Gary. Bible , Christian terms , Christianity 2161 Words | 7 Pages. number of people who are quick to retreat, and Cryptography is Essential for Information Essay, let their cowardly and Big Data and Data Essay, selfish side out Atomic Energy when the going gets tough. Sure it is in everyones best interest to . protect themselves and their families first.

What about when their selfishness and Big Data and Data example, lack of the yalta lucidity hinders a collective effort to make circumstances better? In Albert Camus, and even in Big Data Analytics example, our world today; a majority of people engage in daily routines with nothing but self-interest and capital in mind. Whats Poverty. They become entranced in a life they believe. Albert Camus , Algeria , Algerian War 2089 Words | 5 Pages. laugh out loud and Cervantes succeeds in doing this through his use of parody and satire and burlesque, slapstick and simple self-reflexive comedy. To keep . the reader entertained, he also uses the shock of the unexpected and creates intervals of lucidity interspersed with insanity in Don Quixotes character. Cervantes places particular emphasis on the comedy of appearance, comedy of situation and Analytics, the comedy of action during Don Quixotes adventures and it is the the yalta use of these devices that makes the. Chivalry , Don Quixote , La Mancha 2036 Words | 6 Pages. Power Struggles in Cloud Cover Caribbean

Intangible But Impossible to Essay example, Go Beyond Cloud Cover Caribbean tells us the the yalta conference story: a Haitian, Antenor, fled his country on a small boat. During this . unpredictably dangerous sea adventure, he rescued a Dominican, Diogenes , and a Cuban, Carmelo, who both shared the same dream with Antenor of going to Big Data and Data Analytics Essay example, Miami to whats poverty, start a new life. Some conflicts, subtle or obvious, took place while these three men of different countries and cultural backgrounds were struggling together in Big Data Essay, one little skiff. A Child. The moment. Balanced line , Cuba , Dominican Republic 450 Words | 2 Pages.

Expert Essay Writers - White paper: Big Data Meets Big Data Analytics - SAS

Nov 17, 2017 Big Data and Data Analytics Essay example,

Custom Essay Order - White paper: Big Data Meets Big Data Analytics - SAS

commentary essays Chances are your professor has given you an assignment to write an Big Data Analytics Essay essay that reflects on a piece of literature, or another body of how did, work like a film or play. Do you know how to write a good essay? One basic way to Big Data and Data Essay elevate the quality of your next essay is to conference stop summarizing and start commentating. And its easier than you may think. In this post, Ill explain the difference between summary and commentary. Analytics Essay! Then, Ill show you how to put commentary to good use to make your next essay assignment awesome.

How to Write a Good Essay Part 1: Learn the Difference between Commentary and Summary. You need to understand the difference between commentary and summary. Essay On Integration Of University Of Mississippi! While both writing styles can be used to discuss another piece of work (like a play, book, movie, or poem), this is about the sum total of Analytics, their similarities. Here are the three main differences between summary and commentary: Summary is Integration of University a brief account giving the main points of something. Commentary is Big Data and Data Essay a series of explanations and interpretations. Summary is about Atomic Energy surface.

Commentary is and Data Analytics Essay example deep. Summary is regurgitation. Called It Fake! Commentary is original. There is and Data Analytics example only one way to provide a summary : You read or view a work, and then write down a recap of what the work is all about. However, there are many ways to it fake provide commentary , including: Here are some real life examples of and Data example, summary and commentary: A summary is something youd read in a movie description or on Cryptography Systems the back of a book, like this summary of The Godfather: Part II from IMDb:

Commentary is what youd read in a film or book review, like this one from Rotten Tomatoes: As you can see, the main difference between these two write-ups of and Data Analytics example, The Godfather, Part II is the IMDb summary includes no opinion or evaluation, while the Rotten Tomatoes review includes the opinion strong performances and the evaluation set(s) new standards for sequels that have yet to be matched or broken. How to Write a Good Essay Part 2: Sample Essay. I know youre supposed to be writing an whats poverty essay right now, so dont procrastinate by watching this awesome, comedic zombie movie. Analytics Essay! But, as soon as you turn this essay in, if you havent seen it already, watch it! Seriously, its so good. In the meantime, for our lesson, watch this YouTube clip of one of my favorite scenes from the film.

It will serve as the body of work that Im going to is Essential for Information Systems Essay commentate on. First, let me show you how I would write a summary of Analytics, this scene: In this scene from the 2004 movie Shaun of the how did phillis distinguish herself?, Dead , Shaun (played by Simon Pegg) wakes up with a hangover and walks to the convenience store to buy a soda and an ice cream. In his hungover condition, he does not notice anything that is going on around him. On his way to Big Data and Data Analytics the store, he walks by about Atomic what appears to be zombies roaming the street. There is mayhem all around him. A car window is and Data Analytics smashed and the alarm is blaring, a person is running for his life away from the yalta conference, zombies, there are bloody handprints on and Data Analytics Essay example the cooler, and Essay Energy, the convenience store clerk is missing. On his way home, Shaun passes even more zombies, including one who he mistakes for a homeless person. When the zombie approaches him, Shaun says, No, I dont have any change. I didnt even have enough for the shop. He makes it home safely and turns on the TV, ignoring the Big Data example, news reports about the the yalta conference, zombie invasion.

While this may be a perfectly good summary of and Data Essay example, this scene, it doesnt offer any additional insight into the film. My summary simply regurgitates what happened, play-by-play. Conference! Theres really no point in reading this summary; instead, you could just watch the scene and learn everything I just discussed, and Big Data Essay, youll have more fun doing it. When your professor asks you to about Atomic provide thoughtful commentary on a piece of Analytics example, work, you can be sure that he or she does not want you to just give a detailed recap of the events. This does not show that youve put forth any effort.

In fact, writing that summary took me under a minute, with little thought. The one thing a summary can provide is background for your commentary. You want to give your reader some context on the piece of work, while also providing your insightful and opinionated commentary. Lets start working on this now. How to Write a Good Essay: Offer an Opinion. First, Im going to insert an opinion into my summary.

To make it easier for you to follow, Ill highlight my opinion in green . In this clever and Essay, satirical scene from the 2004 movie Shaun of the Dead , Shaun (played by Simon Pegg) wakes up with a hangover and Big Data and Data Analytics Essay, walks to the convenience store to buy a soda and Essay about Atomic, an ice cream. How to Write a Good Essay: Offer an Interpretation. Next, Ill insert an interpretation . In his hungover condition, he does not notice anything that is going on around him. This provides insight on and Data example how Shaun, like many of us, lives his day-to-day life, almost as a zombie himself, just going through the motions without noticing the world in which he lives. How to Write a Good Essay: Offer some Insight. Next, Ill insert some insight . On his way to the store, he walks by on of University of Mississippi what appears to be zombies roaming the street. There is mayhem all around him, but this mayhem isnt a far cry from Shauns daily reality . Big Data And Data Essay! A car window is smashed and the alarm is blaring. Today it is from a zombie, but on a normal day, a regular thief could have smashed it . A person is running for his life away from zombies, but on a normal day, it could be a person running to catch the bus . How to Write a Good Essay: Offer Your Personal Reaction.

Next, Ill insert my personal reaction : There are bloody handprints on the cooler, and whats poverty, the convenience store clerk is Big Data example missing, which, along with the creepy music soundtrack, gives a sense of impending doom as the how did herself?, viewer watches Shaun obliviously bumble along. How to Write a Good Essay: Offer an and Data example Evaluation. Finally, Ill insert my evaluation and how did phillis wheatley distinguish herself?, a little more opinion and insight . On his way home, Shaun passes even more zombies, including one who he mistakes for a homeless person. When the zombie approaches him, Shaun says, No, I dont have any change. I didnt even have enough for the shop. Incidents like these make this film the perfect satirical comedy about Analytics what it means to be alive in the 21 st century . This is emphasized again when Shaun makes it home safely and how did phillis wheatley distinguish, turns on Big Data and Data the TV, ignoring the news reports about the zombies. This brilliant satire points to the sad fact that a typical persons life is already so horrible that a zombie apocalypse wouldnt even mark a change for the worse. So, how does my final Shaun of the Dead commentary look as a whole? Check it out: In this clever and satirical scene from the 2004 movie Shaun of the Dead , Shaun (played by Simon Pegg) wakes up with a hangover and walks to called the convenience store to buy a soda and Essay example, an ice cream. In his hungover condition, he does not notice anything that is going on around him.

This provides insight on how Shaun, like many of us, lives his day-to-day life, almost as a zombie himself, just going through the about Energy, motions without noticing the world in which he lives. On his way to Big Data and Data Analytics example the store, he walks by what appears to Integration of Mississippi be zombies roaming the street. There is mayhem all around him, but this mayhem isnt a far cry from and Data Essay example, Shauns daily reality . A car window is smashed and the alarm is whats poverty blaring. Today it is from a zombie, but on a normal day, a regular thief could have smashed it . Analytics! A person is on of University running for his life away from zombies, but on a normal day, it could be a person running to catch the bus. There are bloody handprints on the cooler, and the convenience store clerk is Analytics Essay example missing, which, along with the creepy music soundtrack, gives a sense of impending doom as the viewer watches Shaun obliviously bumble along.

On his way home, Shaun passes even more zombies, including one who he mistakes for a homeless person. When the zombie approaches him, Shaun says, No, I dont have any change. Essay On Of Mississippi! I didnt even have enough for the shop. Incidents like these make this film the perfect satirical comedy about what it means to be alive in the 21 st century . This is emphasized again when Shaun makes it home safely and turns on the TV, ignoring the news reports about the zombies. This brilliant satire points to the sad fact that a typical persons life is Essay already so horrible that a zombie apocalypse wouldnt even mark a change for about Atomic Energy, the worse . How to Write a Good Essay Part 3: Final Rules to Consider. Now that youve seen commentary in Big Data and Data Essay action, I want to for Information point out a couple more important rules that will help you write a good essay. Rule One: Avoid Subjective Phrases. Even when giving commentary in the form of an opinion, avoid using subjective phrases like I hope, I believe, and I think. These are just throwaway phrases. As I discussed in my previous post about writing a cover letter, these phrases are redundant (you wrote the essay, so its obvious you think, believe, or hope what is written) and they reduce your credibility. Rule Two: Maintain a 2:1 Ratio of Commentary to Summary. In general, you should provide approximately two points of commentary for every specific detail you offer. Analytics Essay Example! While summary is still important for giving your reader context, commentary is how did phillis herself? critical to writing a good essay.

Rule Three: Follow Your Instructors Rules. Sometimes your instructor will want you to only offer opinion; other times, hell want you to only offer insight or interpretation. Other times, youll have more freedom as to what type of commentary you include in your essay. The important thing to remember is to and Data Essay follow your instructors rules for the assignment. If you need more help learning about how to phillis distinguish write a better essay, I recommend reading this post about how one teacher used movie reviews to Analytics Essay help students improve writing, and check out Essay Integration of Mississippi, this cool slideshow about commentary. And of course, dont forget the final step for writing a good essay: editing! Have your essay edited by a Kibin editor, a peer, or a parent. How about you? Have you struggled with using too much summary in your essays?

Or, do you find writing commentary to Big Data Analytics Essay example be fun? Let us know in the comments. Psst. 98% of whats poverty, Kibin users report better grades! Get inspiration from over 500,000 example essays. About the Author. Naomi Tepper is a former Kibin editor, the former content manager for the Kibin blog, and forever a word nerd. Pretty long, but I grabbed what I came for. Thank you Naomi. Please reply above this line ## Naomi replied, on Mar 31 @ 7:37am (PDT): ## Conversation started by Disqus, on Mar 30 @ 2:52pm (PDT):

A NEW COMMENT WAS POSTED ON KIBIN BLOG [4] This comment is awaiting moderator approval. Pretty long, but I grabbed what I came for. Big Data And Data Example! Thank you Naomi. 5:52 p.m., Sunday March 30. Moderate This Comment By Email. Email address: [emailprotected] [5] | IP address: 197.210.248.22.

Reply to this email with Delete, Approve, or Spam, or moderate from the a child it fake, DISQUS MODERATION PANEL [6]. Youre receiving this message because youre signed up to receive notifications about activity on threads authored by kibin. You can unsubscribe [7] from Big Data and Data Analytics Essay, emails about activity on threads. authored by kibin by Cryptography Essay replying to this email with unsubscribe or reduce the rate with which these emails are sent by adjusting your notification settings [8]. [4] /HTTP://REDIRECT.DISQUS.COM/URL?IMPRESSION=89144BEC-B855-11E3-9808-00259034104EFORUM=633029THREAD=1935738242BEHAVIOR=CLICKURL=HTTPS%3A%2F%2FWWW.KIBIN.COM%2FBLOG%2FHOW-TO-WRITE-A-GOOD-ESSAY-COMMENTARY%2F%23COMMENT-1311091921%3AL-RAIE1CUBNO3ZWGARTXKWVJHNUPOST=1311091921TYPE=NOTIFICATION.POST.MODERATOREVENT=EMAIL [5] mailto:[emailprotected] Youre welcome! Glad you found what you were looking for!

Thank you so much. This was way more help compared to the tips my teachers give me! Hi Becky, aww thanks! Im so happy that you found this post helpful. Cheers! Naomi. Thank you, Naomi! Youre so welcome! I love Shaun of Dead and Big Data and Data Analytics Essay, end of movie clip got me good.

The hand come out the Essay, no where scary crap out Big Data and Data Essay, me. T.T Good luck with your book, hope good well for you. Cryptography Is Essential Systems Essay! Thank you very much. Haha. I agree that movie is Big Data and Data Analytics Essay example crazy good, and that scene just makes me shiver! its the same format for news article :-)? Hi Eve, good question!

Yes, the Integration, same principles apply to commentating on a news article. Thanks for reading! Wow, thank you for this very detailed information.. it seems you can apply it to any sort of satire or as an opinionated response to and Data Analytics Essay example any form of literature. I also struggle with this sort of thing.. and yes.. as writers we must all know the differences between summaries and our own personal input (Commentary). But as its been shown here, its all about the distinguish, presentation.. I have to work on that. Hi! Thanks for reading! Im pleased the information has helped. Yes, writing effective commentary is always about presentation.

Good luck! does it all apply the Big Data and Data Analytics Essay, same for Essay, an entire book instead of Essay example, just an scene, like you did?Would I need more paragraphs because its a whole book or do I just pick the main scenes and how did wheatley herself?, have the Big Data Analytics, same amount of paragraphs as you did? Great question! My example is based on a very short scene, so its okay for about Energy, it to be very short. Commentating on an entire novel will most likely require more writing than my example shows. I would suggest you choose a specific aspect of the novel to evaluate (perhaps based on the requirements of your assignment) and then pick and choose scenes throughout the book that support your evaluation.

Write commentary similar to my example for Big Data Essay example, EACH scene from the the yalta, novel that you chose. Put those all together, making sure to use appropriate transitions (https://www.kibin.com/blog/how-comedians-teach-you-to-write-good-transition-sentences/). And Data Analytics Example! Dont forget to write an introduction with a thesis in the beginning and a conclusion at the end. Heres one possible outline you can follow to a child called help: https://www.kibin.com/blog/write-5-paragraph-essay-outline/ Great tips.

Nice article. Interesting, that appears to have been directly lifted from the Analytics Essay, infographic I created for this blog. https://www.kibin.com/essay-writing-blog/writing-an-argumentative-essay/ What do they say? Imitation is the highest form of flattery? Thanks for whats poverty, sharing. this is Analytics Essay great article. I would suggest you choose a specific aspect of the novel to evaluate. (perhaps based on the requirements of a child it fake, your assignment) and then pick and. choose scenes throughout the book that support your evaluation.

You post is really useful. I believe that while writing an assay the Big Data, most important thing is the yalta conference Be Yourself. Nice post. I was. really looking for Big Data and Data Analytics example, some useful essay writing tips and. must say, these are the best ones Ive stumbled upon! Im sure that there are no bad advice. I also agree that if you define a style of writing commentary or summary.

It will be easier to approach the writing of the text. It is important to write in the first person. Called! If you want, you can use over college paper writing service. The best article on Big Data Analytics Essay example writing commentary essays. Thank you for sharing your step-by-step guides. Youre welcome. A Child Called It Fake! Thanks for the comment. Big Data And Data Analytics Example! #128578; That was great, what an inspiration that would be! Thank you so much for your tips.

Hi Janice thanks for the comment. Super happy to help out. Woow this article was awesome and very clear! Thank you!! But I wonder, does this apply also to conference academic essays??

Yes, absolutely!! Thanks for reading. #128578; This guide helps me a lot, definitely will share this essay writing help to Big Data and Data Analytics Essay my friends. Heading off to tweet this awesome guide. Awesome! Glad we could help, Carlos. Thanks for reading and sharing. love this. question: under the personal reaction examples you also have this: which, along with the creepy music soundtrack, but it is conference not in a different color. Its not summary. Would you call this part personal reaction? Or opinion?

Good catch! My using the word creepy to Analytics example describe the soundtrack would qualify as me stating an opinion here. I cant be sure that everyone would think it creepy. This is only slightly distinct from a personal reaction ,which would be more like The soundtrack creeped me out. #128578; Thank you, Naomi! Im an Essay Atomic academic writing adviser and this is a super useful, clear, and thorough example I can use for my students. Thank you Naomi. Thats amazing! Im so happy to hear it. Big Data And Data Essay! Thanks for your kind comment. #128578; Well, this article is quite informative.

I will share it with my mates so they can know about it. Awesome! Glad it helped you and the yalta, thanks for sharing. #128578; I still do not understand about the commentary my teacher said in our first commentary that you need to explain what is going on in the and Data Essay example, quotation but it still sounds like summarizing and whats poverty, when she explains waht to do it still sounnds like summarizinng. The difference can be really confusing. Big Data Essay Example! When you use commentary, youre often adding an opinion or evaluation not *just* stating what is going on in the a child it fake, quotation. You might try asking yourself if your commentary answers the question, So what? So if you write In this quotation, [author] is Big Data example describing [X], and you ask yourself So what?, you might realize that you can add on to this sentence with something like: which is Energy important because [reason 1] and [reason 2]. Then youre not only saying what is happening in and Data Analytics Essay the quotation (summarizing), but youre showing the larger significance of what is phillis distinguish happening thats what commentary is for #128578; i usually dont comment, but i think the topic sentence has a part that kinda sound like a summary. Do you mean this sentence: In this clever and satirical scene from the 2004 movie Shaun of the Dead, Shaun (played by Analytics Essay Simon Pegg) wakes up with a hangover and walks to the convenience store to buy a soda and Cryptography for Information, an ice cream? Youre right that its almost a summary what sets it apart is the clever and satirical phrase, since that inserts an opinion #128578;

But, the other things is very good, thx for the tips.