SYSEN 5280

SYSEN 5280

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

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.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: MAE 5280MAE 6280

  • 3 Credits Graded

  • 18643SYSEN 5280  LEC 001

    • TRTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Sands, T

  • Instruction Mode: Hybrid-Online and In Person
    Hybrid: rotational in person attendance to be determined by instructor.

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: MAE 5280MAE 6280

  • 3 Credits Graded

  • 18644SYSEN 5280  LEC 002

    • TBA
    • Aug 26 - Dec 7, 2021
    • Sands, T

  • Instruction Mode: Distance Learning-Asynchronous