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3 credits
Fall 2025 Lecture Upper DivisionIntroduction 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.
Learning Outcomes1Understand the purpose and structure of critical arguments.
2Develop skills to analyze written, visual critical arguments on contemporary issues.
3Develop skills to create critical arguments.
4Understand the structural similarities between critical arguments and quantitative modeling.
5Understand ethical behavior in academic setting.
6Understand process of how to develop mathematical models involved with food and biological phenomena.
7Understand the types of models and their purpose/utility from an engineering context.
8Understand the application of the numerical modeling principles and techniques of modeling and solutions.
9Understand the limitations related to computational accuracy/error and statistical precision of numerical modeling.
10Develop skills to create numerical models involving biological engineering systems using mechanistic concepts, such as reaction kinetics, transport phenomena, and thermodynamics.
11Develop skills for creating computational tools to quantify/evaluate numerical models.