MAE 5280
Last Updated
- Schedule of Classes - April 13, 2023 2:00PM EDT
- Course Catalog - April 12, 2023 7:14PM EDT
Classes
MAE 5280
Course Description
Course information provided by the Courses of Study 2022-2023.
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.
When Offered Fall, Summer.
Prerequisites/Corequisites Prerequisite: knowledge of linear regression and matrix operations.
Outcomes
- Identify variation of systems from data.
- Analyze system variation from data.
- Demonstrate application of system learning for decision and control.
Regular Academic Session. Combined with: MAE 6280, SYSEN 5280
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- TR Upson Hall 202
- Aug 22 - Dec 5, 2022
Instructors
Sands, T
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Additional Information
Instruction Mode: Hybrid-Online and In Person
Regular Academic Session. Combined with: MAE 6280, SYSEN 5280
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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