ECON 282
Spring 2016
| Section:
01
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| Crosslisting:
QAC 282 |
| Certificates: Applied Data Science |
"Big data" is a popular buzzword that describes techniques using very large datasets, often from nontraditional sources. Many technology firms essentially base their businesses on big data; Google, Facebook, and Amazon are all examples. Increasingly there are opportunities and pressures to employ these techniques in other areas of the economy and society such as government, healthcare, and education. This course examines (1) big data analysis techniques and how they relate to conventional economic statistics, (2) the effect of big data on the economy, society, and privacy, and (3) practical methods of big data analysis using the R statistics package. |
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| Credit: 1 |
Gen Ed Area Dept:
SBS ECON |
| Course Format: Lecture | Grading Mode: Student Option |
| Level: UGRD |
Prerequisites: ECON101 OR ECON110 |
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Fulfills a Major Requirement for: (ECON-MN)(ECON) |
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Past Enrollment Probability: 50% - 74% |
| SECTION 01 | | Special Attributes: CQC |
Major Readings: Wesleyan RJ Julia Bookstore
TBD
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Examinations and Assignments:
Problem sets/data exercises, 3 short quizzes, final paper/project |
Additional Requirements and/or Comments:
Students should have completed ECON 101, ECON 110, or any statistics course. |
| Instructor(s): Hogendorn,Christiaan Times: ..T.R.. 01:10PM-02:30PM; Location: PAC002; |
| Total Enrollment Limit: 35 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 1 | GRAD: X | SR non-major: 5 | JR non-major: 5 | SO: 15 | FR: 10 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 7 | 1st Ranked: 0 | 2nd Ranked: 3 | 3rd Ranked: 1 | 4th Ranked: 0 | Unranked: 3 |
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