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B M E 556

SYSTEMS BIOLOGY: MAMMALIAN SIGNALING NETWORKS

3 credits.

Introduction to the experimental and mathematical modeling techniques used in systems biology through lectures and critical analyses of relevant publications with a primary focus on gene/protein networks and mammalian systems.

Prerequisites & course information

Requisites: ( MATH 319 , 320 , or 375 ), ( B M E 510 , ZOOLOGY 470 , 570 , PSYCH/ZOOLOGY 523 , or BIOCORE 383 ) and Junior Standing, graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2022 Learning Outcomes: 1. Describe the structure and function of individual extracellular matrix (ECM) components and their relevance to physiological and pathophysiological processes Audience: Both Grad & Undergrad 2. Apply biological knowledge of the ECM to inform the manipulation, mimicking, or engineering of ECM-based systems Audience: Both Grad & Undergrad 3. Critically evaluate ECM engineering approaches Audience: Both Grad & Undergrad 4. Apply advanced knowledge of bioconjugate chemistry to design dynamic scaffold platforms Audience: Graduate Learning Outcomes: 1. Describe the structure and function of individual extracellular matrix (ECM) components and their relevance to physiological and pathophysiological processes Audience: Both Grad & Undergrad 2. Apply biological knowledge of the ECM to inform the manipulation, mimicking, or engineering of ECM-based systems Audience: Both Grad & Undergrad 3. Critically evaluate ECM engineering approaches Audience: Both Grad & Undergrad 4. Apply advanced knowledge of bioconjugate chemistry to design dynamic scaffold platforms Audience: Graduate

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