BIOINF 501 - Mathematical Foundations for Bioinformatics
Section: 001
Term: FA 2019
Subject: Bioinformatics and Computational Biology (BIOINF)
Department: MED Bioinformatics
Credits:
3 (Non-LSA credit).
Requirements & Distribution:
BS
Advisory Prerequisites:
Calculus II or equivalent.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

This course provides a review of some of the fundamental mathematical techniques commonly used in bioinformatics and biomedical research. These include: 1) principles of multi-variable calculus, and complex numbers/functions; 2) foundations of linear algebra, such as linear spaces, eigen values and vectors, singular value decomposition, spectral graph theory and Markov chains; 3) differential equations and their usage in biomedical system, which includes topics such as existence and uniqueness of solutions, two dimensional linear systems, bifurcations in one and two dimensional systems and cellular dynamics, and; 4) optimization methods, such as free and constrained optimization, Lagrange multipliers, data denoising using optimization and heuristic methods. MATLAB, R, and Python will be introduced as tools to simulate/implement the mathematical ideas.

BIOINF 501 - Mathematical Foundations for Bioinformatics
Schedule Listing
001 (LEC)
P
29747
Open
6
 
-
MW 1:30PM - 3:00PM
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