Call Number | 14533 |
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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 Thursday, November 21, 2024 |
Subject | Industrial Engineering and Operations Research |
Number | E4578 |
Section | 001 |
Division | School of Engineering and Applied Science: Graduate |
Section key | 20243IEOR4578E001 |