Course Description
6.0 Continuing Education Units (CEUs)
Fundamentals of applying artificial intelligence techniques on time series data, statistical, machine and deep learning models for time series. Emphasis is placed on the main applications of time series analysis: forecasting, clustering and anomaly detection. Data science techniques applicable to time series. Deep learning methods, rolling predictions, online learning, backtesting. 30 contact hours plus approx. 30 hours of assignments.
Prerequisites
Corequisites
Schedule
| This Course was not Offered During Winter 2025 Term |
| This Course was not Offered During Spring/Summer 2025 Term |
| The tentative timetable is not yet available for the Fall 2025 Term |
| The tentative timetable is not yet available for the Winter 2026 Term |
