0 or 3 credits
Fall 2025 Lecture Laboratory Upper Division
The course is divided into three sections. Students will (1) learn about first and second-order dynamic systems, block diagrams, modeling of mechanical and electrical systems, and control theory while using Matlab and Simulink for modeling; (2) Learn about numerical methods for modeling of continuum mechanics and transport phenomena including finite element method and finite difference method. Applications in heat transfer, fluid flow, and solid mechanics will be studied in the computer lab; (3) Learn about data analysis topics including statistical models, probability theory, regression analysis, classification techniques, and machine learning.
Learning Outcomes1Understand the fundamentals of dynamic systems modeling.
2Create block diagram models for mechanical and electrical systems.
3Understand control theory concepts and use it to design controllers.
4Understand the fundamentals of finite element method and finite difference method including 1-D and 2-D formulations, boundary conditions, and postprocessing.
5Use a major FEA software tool.
6Evaluate the accuracy of the results.
7Understand probability theory and regression analysis.
8Explore classification techniques and machine learning concepts.
9Apply data analysis skills to real-world datasets.
Prerequisites
made by Purdue students.