Economics
Computational Economics with Data Science Applications
3 credits
Computational tools used in modern economic research; applications of data science and machine learning in economics; generating data from the web and text; software tools for reproducible research. Course restricted to ECON PhD students only. External students may request permission to take this course from the ECON graduate program office.
Average
90.7%
Students
31
Sections
4
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 0, 64-67: 0, 68-71: 0, 72-75: 1, 76-79: 1, 80-84: 2, 85-89: 3, 90-100: 23.
Historical Averages
2019–2023
Lowest section avg
89.2%
Highest section avg
94.0%
Terms offered
4
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 001 | Lecture | Open | Mon 12:30-14:00, Wed 12:30-14:00 | Paul SchrimpfJesse Perla |
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