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Fall 2024
Jul 13, 2024
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. The Schedule Type links will be available only when the schedule of classes is available for the selected term.

ABE 30100 - Modeling And Computational Tools In Biological Engineering
Credit Hours: 3.00. Introduction to principles of analysis, setup, and modeling of biological systems using fundamental principles of engineering. Development of mathematical and numerical models to solve steady state and transient processes involving material and energy balances and utilizing thermodynamic, transport, and kinetic reaction principles, and economics in biological engineering systems.
3.000 Credit hours

Syllabus Available
Levels: Undergraduate, Graduate, Professional
Schedule Types: Distance Learning, Lecture

Offered By: College of Agriculture
Department: Ag & Biological Eng Program

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette

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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