Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5321. Programming and Computation with R for Economists

3.00 credits

Prerequisites: Open to students in the Master of Science in Quantitative Economics program; others by consent.

Grading Basis: Graded

Basics of R programming. Objects, data structures, logical design, functions. Applications to matrix algebra, optimization, data visualization, and econometric analysis.


Last Refreshed: 24-JUL-24 05.20.17.521212 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 6014 Storrs In Person Kim, Min 001 Reg MoFr 10:10am‑11:25am
12/25 MONT 226 3.00 Graded
Spring 2024 13131 Stamford In Person Zhang, Heshan 881 Reg TuTh 2:00pm‑3:15pm
4/10 DWTN 305F 3.00 Graded
Fall 2024 11995 Storrs In Person 001 Reg TuTh 9:30am‑10:45am
0/10 SHH 105 3.00 Graded