BME 3110

BME 3110

Course information provided by the Courses of Study 2017-2018.

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 (or equivalent), MATH 2930 (or equivalent), MATH 2940 (or equivalent), and CS 1112 (or equivalent). Corequisite: BME 3020 (or equivalent). 

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Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 12482BME 3110  LEC 001