(翻譯)2016美國數學建模MCM C題(大資料)翻譯:優質基金挑戰

塵封的記憶0發表於2016-01-29

PROBLEM C: The Goodgrant Challenge

The Goodgrant Foundation is a charitable organization that wants to help improve educational performance of undergraduates attending colleges and universities in the United States. To do this, the foundation intends to donate a total of $100,000,000 (US100 million) to an appropriate group of schools per year, for five years, starting July 2016. In doing so, they do not want to duplicate the investments and focus of other large grant organizations such as the Gates Foundation and Lumina Foundation.

Your team has been asked by the Goodgrant Foundation to develop a model to determine an optimal investment strategy that identifies the schools, the investment amount per school, the return on that investment, and the time duration that the organization’s money should be provided to have the highest likelihood of producing a strong positive effect on student performance. This strategy should contain a 1 to N optimized and prioritized candidate list of schools you are recommending for investment based on each candidate school’s demonstrated potential for effective use of private funding, and an estimated return on investment (ROI) defined in a manner appropriate for a charitable organization such as the Goodgrant Foundation.

To assist your effort, the attached data file (ProblemCDATA.zip) contains information extracted from the U.S. National Center on Education Statistics (www.nces.ed.gov/ipeds), which maintains an extensive database of survey information on nearly all post-secondary colleges and universities in the United States, and the College Scorecard data set (https://collegescorecard.ed.gov) which contains various institutional performance data. Your model and subsequent strategy must be based on some meaningful and defendable subset of these two data sets.

In addition to the required one-page summary for your MCM submission, your report must include a letter to the Chief Financial Officer (CFO) of the Goodgrant Foundation, Mr. Alpha Chiang, that describes the optimal investment strategy, your modeling approach and major results, and a brief discussion of your proposed concept of a return-on-investment (ROI) that the Goodgrant Foundation should adopt for assessing the 2016 donation(s) and future philanthropic educational investments within the United States. This letter should be no more than two pages in length.

Note: When submitting your final electronic solution DO NOT include any database files. The only thing that should be submitted is your electronic (Word or PDF) solution.

The ProblemCDATA.zip data file contains:

 Problem C - IPEDS UID for Potential Candidate Schools.xlsx

 Problem C - Most Recent Cohorts Data (Scorecard Elements).xlsx

 Problem C - CollegeScorecardDataDictionary-09-08-2015.xlsx

 IPEDS Variables for Data Selection.pdf

You can download the data (ProblemCDATA.zip) on the following websites:

http://www.comap-math.com/mcm/ProblemCDATA.zip

http://www.mathismore.net/mcm/ProblemCDATA.zip

http://www.mathportals.com/mcm/ProblemCDATA.zip

http://www.immchallenge.org/mcm/ProblemCDATA.zip


C: 該Goodgrant基金會是一個慈善組織,希望有助於提高大學生就讀高校在美國的教育業績。要做到這一點,該基金會擬共$ 100,000,000個(US100萬美元)捐贈給每年學校的相應組,為五年,7月開始到2016年這樣做,他們不希望重複投資和其他重點大型授予組織如蓋茨基金會和Lumina的基礎。

您的團隊已要求由Goodgrant基金會建立一個模型,以確定最佳的投資策略,確定了學校,每所學校的投資金額,對投資回報率,以及持續時間,該組織的資金應提供有最高可能產生對學生的表現有很強的正效應。該戰略應包括學校,你是根據每個候選學校的證明潛力有效地利用私人資金,建議投資適當的方式定義的1到N優化並優先候選名單,和投資回報(ROI)的預計收益慈善組織如Goodgrant基金會。

為了幫助你的努力,附加的資料檔案(ProblemCDATA.zip)包含來自美國國家中心教育統計(www.nces.ed.gov/ipeds),它在幾乎所有的後擁有大量的調查資訊資料庫中提取資訊二級學院和大學在美國,與大學記分卡的資料集(https://collegescorecard.ed.gov),其中包括各種機構的效能資料。您的模型和隨後的戰略必須建立在這兩個資料集的一些有意義的,可防禦的子集。

除了必需的單頁摘要您的MCM提交,你的報告必須包括信Goodgrant基金,阿爾法蔣介石先生,介紹了最優投資策略的首席財務官(CFO),您的建模方法和主要結果,和你提出了一個回報率的投資回報率(ROI)的概念進行了簡要的討論Goodgrant基金會應該採取評估的2016年捐款(S)和未來的慈善教育投資在美國境內的。這封信應不大於長兩頁多。

注意:當您提交最終的電子解決方案不包含任何資料庫檔案。應提交的唯一的事情就是你的電子(Word或PDF)的解決方案。

該ProblemCDATA.zip資料檔案包含:

·題C - IPEDS UID為潛在的候選Schools.xlsx

·題C - 最新同夥資料(記分卡元素)的.xlsx

·題C - CollegeScorecardDataDictionary-09-08-2015.xlsx

·IPEDS的資料Selection.pdf變數

 


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