| Call Number | 14533 |
|---|---|
| Day & Time Location |
T 6:00pm-8:30pm 303 Uris Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Owen E Davis |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | A project-based course in Forecasting, predicting a time series into the future, to prepare students for real-world applications including articulating the business case, value creation, problem statement, and the iterative development of solutions including building a data pipeline, exploration, modeling, and visualizations. The course will use Statistical methods, Machine Learning, and Deep Learning with Transformer-based methods to predict a time series. It will use nuggets of signal processing to augment Machine Learning models to characterize and filter orders of dynamics in the time series data. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 37 students (60 max) as of 10:06AM Sunday, December 7, 2025 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4578 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate |
| Section key | 20243IEOR4578E001 |