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| ABE 30100 - Numerical And Computational Modeling In Biological Engineering |
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Associated Term:
Summer 2015
Learning Outcomes: 1. Understand the purpose and structure of critical arguments. 2. Develop skills to analyze written, visual critical arguments on contemporary issues. 3. Develop skills to create critical arguments. 4. Understand the structural similarities between critical arguments and quantitative modeling. 5. Understand ethical behavior in academic setting. 6. Understand process of how to develop mathematical models involved with food and biological phenomena. 7. Understand the types of models and their purpose/utility from an engineering context. 8. Understand the application of the numerical modeling principles and techniques of modeling and solutions. 9. Understand the limitations related to computational accuracy/error and statistical precision of numerical modeling. 10. Develop skills to create numerical models involving biological engineering systems using mechanistic concepts, such as reaction kinetics, transport phenomena, and thermodynamics. 11. Develop skills for creating computational tools to quantify/evaluate numerical models. Required Materials: Technical Requirements: |
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