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Syllabus Information


Fall 2024
Jul 24, 2024
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Information Use this page to maintain syllabus information, learning objectives, required materials, and technical requirements for the course.

Syllabus Information
ABE 30100 - Modeling And Computational Tools In Biological Engineering
Associated Term: Fall 2024
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.
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