All Courses
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BIOINF 501 001 FA 2019
Mathematical Foundations for Bioinformatics The 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 topic 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.
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ALA 230 001 FA 2019
This course is for students who have transferred to U of M from a community college or four-year university and are planning to major in a STEM (Science, Technology, Engineering or Mathematics) field. Our aim is to help students successfully transition in their STEM classes and to the greater university community. We will examine the key differences between how STEM classes are taught here as compared to your previous school; adapt and expand your skills toolbox; learn how to build successful relationships with UM faculty and staff; and set goals for your future success. The class will be focused on active and engaged discussions of your experiences as a STEM transfer student. Assignments will consist of journals, transfer passport challenge, an exam review, and a resume.