ENGR-E 340/599 Introduction to Computational Bioengineering—Dynamics on Networks—Modeling Biochemical Networks
Meets Tuesday 4:10PM-7:10PM, Luddy 0119 and by zoom
Instructor: Prof. James A. Glazier, jaglazier@gmail.com, (812) 391-2159.
Summary: We can describe the spread of infectious diseases in a population and within a tissue, the metabolic, gene regulatory and signaling networks within living cells, the transport of molecular species by blood within the body, the propagation of electrical activity in a neuron, and the operation of the economy, as networks of interacting components in which the values at the network nodes change in time. Because of their universal importance, understanding dynamics on networks is essential to engineering, neuroscience, economics, psychology, biology and many other disciplines. We will consider the basics of gene regulatory and signaling networks and the ways in which we can fit such models to experimental data and apply them. In this course, we focus on biological examples to introduce both the mathematical theory of dynamics on networks, including the dynamical systems concepts of fixed points, stability and bifurcations and the numerical exploration of network dynamics. We will also explore the differences in behavior between deterministic and stochastic realizations of a dynamic network and parameter fitting, uncertainty and optimization. Audience: The course is appropriate for junior and senior undergraduates and graduate students in Intelligent Systems Engineering, Informatics, Computer Science, Mathematics, Physics, Biology, Chemistry, Psychology, Brain Science and Economics.
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