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| ABE 45000 - Computational Modeling And Data Analysis In Agricultural Engineering |
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Associated Term:
Fall 2024
Learning Outcomes: 1. Understand the fundamentals of dynamic systems modeling. 2. Create block diagram models for mechanical and electrical systems. 3. Understand control theory concepts and use it to design controllers. 4. Understand the fundamentals of finite element method and finite difference method including 1-D and 2-D formulations, boundary conditions, and postprocessing. 5. Use a major FEA software tool. 6. Evaluate the accuracy of the results. 7. Understand probability theory and regression analysis. 8. Explore classification techniques and machine learning concepts. 9. Apply data analysis skills to real-world datasets. Required Materials: Technical Requirements: |
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