QUANTITATIVE SYSTEMS BIOLOGY AND DISEASE

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2025 Learning Outcomes: 1. Recognize biochemical systems and pathways relevant to the study of host-pathogen interactions, disease, and microbes and microbial communities. Audience: Graduate 2. Develop mathematical models of biochemical systems by integrating basic mathematical and engineering concepts with principals from biochemistry, cellular and molecular biology, and immunology. Audience: Graduate 3. Translate molecular pathways relevant to immunity and disease into computational models and simulations. Audience: Graduate 4. Gain a working knowledge of resources and databases available for systems biology modeling and simulation. Audience: Graduate 5. Use programming tools (e.g., MATLAB, Python) to implement and test a systems biology model. Audience: Graduate Learning Outcomes: 1. Recognize biochemical systems and pathways relevant to the study of host-pathogen interactions, disease, and microbes and microbial communities. Audience: Graduate 2. Develop mathematical models of biochemical systems by integrating basic mathematical and engineering concepts with principals from biochemistry, cellular and molecular biology, and immunology. Audience: Graduate 3. Translate molecular pathways relevant to immunity and disease into computational models and simulations. Audience: Graduate 4. Gain a working knowledge of resources and databases available for systems biology modeling and simulation. Audience: Graduate 5. Use programming tools (e.g., MATLAB, Python) to implement and test a systems biology model. Audience: Graduate