ASRM 539
Spring 2024 Part of Term 1
Jan 16-May 1
Credit: 2 hours.
The course will give students the opportunity to practice their existing data analytics skills to solve diverse real-world cases. Students will also deepen their ability to select the appropriate method to solve each problem, clearly and concisely present results, and clearly articulate the strengths and limitations of their analyses.
2 graduate hours. No professional credit. Prerequisite: Basic knowledge of probability and statistics.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
71734
|
Lecture-Discussion
|
G
|
9:00AM
-10:20AM
|
MW
|
104 English Building
|
Quan, F
|
|