BME 3110

BME 3110

Course information provided by the Courses of Study 2019-2020.

The behaviors of cells are increasing appreciated to be governed by a system of regulatory pathways, which processes information often in a multivariate, dynamic and non-linear fashion. The ability to reduce this complexity to predictable models is useful for designing new cancer therapies and genetically engineering cellular "machines". The course will cover: (1) analysis of dynamic control processes in cell biology, from intracellular pathways to networks to multicellular systems; (2) principles of computational systems biology, including genomic, proteomic, and transcriptomic algorithms; and (3) principles of synthetic biology, including gene circuit design and modeling. Students will learn to solve problems using computationally implemented algorithms and models, involving statistical methods, differential equation systems, multivariate regression, and logic-based approaches. This course is designed for upper-level undergraduate and Master's students in the biomedical, biological and/or engineering sciences.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: BME 3010, MATH 2930, MATH 2940, CS 1112 or equivalents or permission of instructor. Corequisite: BME 3020 or equivalent.

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 12072BME 3110  LEC 001