Here you will find all availble EECS courses listed alphabetically. The tabs above futher organize the courses by the starting letter of the course name. If there is a courses that you cannot find listed, or have questions about a course that are not answered by the courses description feel free to Contact Us.
Introduction to the basic concepts, components, protocols, and software tools to achieve secure communication in a public network. The concept of encryption, integrity, authentication, security models, and the robustness analysis. Emphasis on the application level protocols and vulnerabilities: firewalls, viruses, worm attack, Trojan horses, password security, secure multicast, biometrics, VPNs, internet protocols such as SSL, IPSec, PGP, and SNMP. The policies for access control, user privacy, and trust establishment and abuse in open environments such as eBay.
Prerequisite(s): EECS 563 or 780
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Fundamental theory of adaptive systems. Evolution of artificial neural networks and training algorithms. Pattern classification, function approximation, and system optimization Introduction to fuzzy set theory and neuro-fuzzy models for pattern classification. Application of neural networks in signal and image processing problems. Pattern classification for biological systems.
Prerequisite(s): Graduate standing in the EECS department or permission of the instructor.
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Finite and divided differences. Interpolation, numerical differentiation, and integration. Gaussian quadrature. Numerical integration of ordinary differential equations. Curve fitting. (Same as MATH 781).
Prerequisite(s): MATH 320 and knowledge of a programming language
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Direct and interactive methods for solving systems of linear equations. Numerical solution of partial differential equations.Numerical determination of eigenvectors and eigenvalues. Solution of nonlinear equations. (Same as MATH 782).
Prerequisite(s): EECS 781
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