CS 5090: Special Topics in Computer Science
   CS 5091: Master's Seminar in Computer Science
   CS 5131: Compiler Optimization Algorithms
   CS 5311: Computation Theory
   CS 5321: Advanced Algorithms
   CS 5331: Parallel Algorithms
   CS 5431: Advanced Computer Architecture
   CS 5441: Distributed Systems
   CS 5461: Mobile Networks
   CS 5611: Advanced Computer Graphics
   CS 5711: Advanced Software Engineering
   CS 5811: Advanced Artificial Intelligence
   CS 5911: Advanced Numerical Analysis
   CS 5990: Master's Research in Computer Science
   CS 5999: Master's Reading and Research

CS 5090 Special Topics in Computer Science f,s,su 1-4

Special topics in computer science offered on occasion based on student and faculty demand and interest.

CS 5091 Master's Seminar in Computer Science (On Demand) 1-3

From time to time, depending on student demand, a seminar will be offered on advanced topics in current computer science research.

CS 5131 Compiler Optimization f,s 3

This course emphasizes the design and implementation of compiler optimizations. Topics include control- and data-flow analysis, traditional compiler optimization, intermediate forms, register allocation, local and global instruction scheduling, software pipelining, dependence analysis and memory-reuse analysis.
Prerequisite:CS 4131

CS 5311 Computation Theory s 3

Turing machines, recursive functions, register machines, parallel computational models, bounds of complexity, NP-completeness and P-Space completeness.
Prerequisite:CS 4311

CS 5321 Advanced Algorithms f 3

After a brief review of CS4321, advanced techniques for design and analysis of algorithms are covered. Topics include algorithms for complex data structures, amortized analysis, and NP-completeness. Application areas include approximation algorithms, network flow, combinatorics, string-matching, and parallel algorithms. Additional topics as time permits
Prerequisite:CS 4321

CS 5331 Parallel Algorithms s 3

This course emphasizes the principles used in the development of algorithms for parallel computers, including the topics: programming paradigms, implementation, analysis and performance evaluation. Algorithms in the areas of scientific computation and nonnumeric processing are considered, as are software tools for performance visualization and debugging.
Prerequisite:CS 4321 and CS 4431

CS 5431 Advanced Computer Architecture s 3

An in-depth study of various aspects of parallel processing, with an emphasis on parallel architectures. The course will have an analytical focus and will investigate models of various aspects of the design and analysis of parallel systems. Topics include simple uniprocessor/multiprocessor performance models, pipelining, instruction-level parallelism and multiprocessor design issues.
Prerequisite:CS 4431

CS 5441 Distributed Systems s 3

Covers time and order in distributed systems; mutual exclusion, agreement, elections, atomic transactions; distributed file systems, distributed shared memory, distributed system security; issues in programming distributed systems. Uses Selected case studies.
Prerequisite:CS 4441 and CS 4431

CS 5461 Mobile Networks s 3

Mobile network issues including routing and mobility management strategies in ad hoc networks, sensor networks, and personal area networks such as bluetooth.
Prerequisite:CS 4461

CS 5611 Advanced Computer Graphics s 3

Topics include polygonal objects, parametric curves and surfaces, lighting models, shadows and textures, ray-tracing techniques, radiosity methods, volume rendering and animation.
Prerequisite:CS 4611

CS 5711 Advanced Software Engineering f 3

Building on the foundation developed in CS 4711 and CS 4712, this course surveys current research in software engineering. Topics include both the technical aspects of software development (e.g. requirements modeling/analysis, design, verification) and issues pertaining to software process and project management (e.g. measurement, risk analysis, team organization).
Prerequisite:CS 4711

CS 5811 Advanced Artificial Intelligence f 3

Course topics include current topics in artificial intelligence including agent-based systems, learning, planning, use of uncertainty in problem solving, reasoning, and belief systems.
Prerequisite:CS 4811

CS 5911 Advanced Numerical Analysis f 3

Topics include linear and nonlinear systems, interpolation, function approximation, numerical integration and differentiation, fast fourier transform, ODEs and PDEs, eigenvalue calculation and unconstrained optimization.

CS 5990 Master's Research in Computer Science f,s,su 1-9

The study of an acceptable computer science problem and the preparation of a thesis.

CS 5999 Master's Reading and Research f,s,su 1-9

Individual reading and research on current topics in computer science.