| Term | Evaluations | Course rating | Instructor rating |
|---|---|---|---|
| Spring 2025 | 1 | 4.5 | 4.7 |
| Fall 2024 | 2 | 3.6 | 3.7 |
| Spring 2024 | 1 | 3.6 | 3.8 |
| Fall 2023 | 2 | 3.8 | 3.8 |
| Summer 2023 | 1 | 4.6 | 4.9 |
| Spring 2023 | 1 | 3.7 | 3.9 |
| Fall 2022 | 2 | 3.6 | 3.9 |
| Spring 2022 | 1 | 3.4 | 3.6 |
| Fall 2021 | 2 | 3.4 | 3.5 |
1 evaluation for this course
This course teaches how mathematical techniques and econometrics are used in financial research and decision making. Topics include matrix algebra, differential and integral calculus, simple linear regression, residual analysis, multivariate regression, and the generalized linear model. Students will be introduced to the latest developments in theoretical and empirical modeling.
Estimated from the original workload response buckets. Individual sections may differ.
| Summer 2021 | 1 | 4.3 | 5.0 |
| Spring 2021 | 2 | 3.7 | 3.8 |
| Fall 2020 | 2 | 3.1 | 3.5 |
| Summer 2020 | 1 | 3.9 | 4.5 |
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