SYSEN 5280 - Adaptive and Learning Systems

(crosslisted) MAE 5280, MAE 6280

Fall, Summer. 3 credits. Student option grading.

Prerequisite: knowledge of linear regression and matrix operations.

T. Sands.

This course focuses on the design and development of self-awareness and learning models to understand and predict the dynamic behavior of systems. In particular considerable emphasis will be placed on the development of critical thinking skills in the analysis of time-varying systems in response to system data. Students will be provided prototype computer code to help them build realistic models from first principles in MATLAB/SIMULINK without commercial software packages. The goal is for students to leave the course with the independent ability to utilize learning systems to analyze and predict behavior of systems without the aid of any tailored commercial software package.

Outcome 1: Identify variation of systems from data.

Outcome 2: Analyze system variation from data.

Outcome 3: Demonstrate application of system learning for decision and control.