The requisite mathematical background, including relevant aspects of number theory and mathematical statistics, will be covered in lecture.

3.0 Semester Hrs.Д®quivalent with CSCI574, Students will draw upon current research results to design, implement and analyze their own computer security or other related cryptography projects.

MATHEMATICAL AND COMPUTATIONAL NEUROSCIENCE. In addition, the strong computational component of this course will help students to develop computer programming skills and apply appropriate technological tools to solve mathematical problems. In addition to building basic skills in applied math, students will gain insight into how mathematical sciences can be used to model and solve problems in neuroscience develop a variety of strategies (computational, theoretical, etc.) with which to approach novel mathematical situations and hone skills for communicating mathematical ideas precisely and concisely in an interdisciplinary context. Applications will be motivated by student interests. Topics will include nonlinear dynamics, hysteresis, the cable equation, and representative models such as Wilson-Cowan, Hodgkin-Huxley, and FitzHugh-Nagumo. (II) This course will focus on mathematical and computational techniques applied to neuroscience.

Csm top 100 models