COURSE DESCRIPTIONS
COMPUTER SCIENCE
(CS)

5053 Computing and the World Wide Web
(3-0) 3 hours credit.
An introduction to computer applications and the World Wide Web for noncomputer scientists. May not be applied toward the Master of Science degree or the Doctor of Philosophy degree in Computer Science. (Credit cannot be earned for both CS 5003 and CS 5053.)

5063 Computers for Teachers
(3-0) 3 hours credit. Prerequisite: Some programming experience.
Modern approaches to computing and program design in an object-oriented programming language such as Java. Emphasis in this course is on the design and implementation of computer-based solutions to problems in a variety of application areas. Curriculum materials and teaching strategies will be developed for teaching these concepts at the high school level. May not be applied to the Master of Science degree in Computer Science or the Doctor of Philosophy degree in Computer Science. (Formerly CS 5023. Credit cannot be earned for both CS 5023 and CS 5063.)

5073 Advanced Topics for Teachers
(3-0) 3 hours credit. Prerequisite: CS 5063 or the equivalent.
A formal and in-depth study of algorithms, data structures and abstraction using an object-oriented language such as Java. Curriculum materials and teaching strategies will be developed for teaching these topics. Large programs such as case studies will be used to present some of these topics along with examples of how to use a case study in the high school curriculum. May not be applied to the Master of Science degree in Computer Science or the Doctor of Philosophy degree in Computer Science.

5083 Computer-based Multimedia for Teachers
(3-0) 3 hours credit. Prerequisite: CS 5053 or the equivalent.
Creation and use of multimedia to enhance student learning. Emphasis in this course is on designing and creating Web-based multimedia resources to illustrate and clarify difficult concepts. Existing graphical software packages will be used to accomplish the creation of instructional multimedia materials. May not be applied to the Master of Science degree in Computer Science or the Doctor of Philosophy degree in Computer Science.

5103 Software Engineering
(3-0) 3 hours credit. Prerequisites: CS 2733 or CS 2734 and CS 3343.
Discussion of issues relevant to the development of large software systems, such as specification; design and synthesis of reliable software; proof of correctness; self-checking software; reconfiguration; recovery; fault-tolerant systems; and system reliability modeling.

5113 Computer Graphics
(3-0) 3 hours credit. Prerequisites: CS 3343 and MAT 2233.
The course emphasizes generative computer graphics, interactive construction of graphic objects; database design; composite object construction; and hidden-surface algorithmic techniques. Emphasis is on vector graphic devices and on the production of high-resolution images.

5233 Artificial Intelligence
(3-0) 3 hours credit. Prerequisite: CS 3343.
This course covers artificial intelligence from the standpoint of general problem-solving techniques. Major topics include search, knowledge representation, planning, machine learning, and natural language processing. Programming projects are in LISP.

5253 Expert Systems
(3-0) 3 hours credit. Prerequisite: CS 5233.
This course presents an in-depth study of the area of artificial intelligence known as expert systems. Example expert systems are examined as a means of identifying the generally accepted methodologies for developing such systems as well as the basic research issues involved.

5293 Numerical Linear Algebra
(3-0) 3 hours credit. Prerequisite: MAT 3633 or an equivalent.
Direct and iterative methods for solving general linear systems, the algebraic eigenvalue problem, least square problems, and solutions of sparse systems arising from partial differential equations. (Same as MAT 5293. Credit cannot be earned for both CS 5293 and MAT 5293.)

5353 Formal Languages, Automata, and Theory of Computation
(3-0) 3 hours credit. Prerequisites: CS 3343 and CS 3233.
Formal models of computation and syntax.

5363 Programming Languages and Compilers
(3-0) 3 hours credit. Prerequisites: CS 3343 and CS 3233.
A study of modern programming languages with emphasis on their implementation. Topics include scanning, parsing, syntax-directed translation, code generation, and optimization. (Formerly CS 5303. Credit cannot be earned for both CS 5363 and CS 5303.)

5443 Database Management Systems
(3-0) 3 hours credit. Prerequisite: CS 3743.
Design and implementation of database management systems. Topics include storage management, query optimization, concurrency control, crash recovery, integrity, and security in relational databases, object-oriented databases, object-relational databases, parallel databases, and distributed databases.

5513 Computer Architecture
(3-0) 3 hours credit. Prerequisites: CS 3733 and CS 4753.
Study of modern computer architecture, including parallel computers, multiprocessors, pipelines, and fault tolerance.

5523 Operating Systems
(3-0) 3 hours credit. Prerequisites: CS 3733 and CS 4753.
Operating systems concepts with an emphasis on concurrency, resource management, and distributed systems.

5603 Numerical Analysis
(3-0) 3 hours credit. Prerequisite: MAT 3633 or consent of instructor.
Emphasis on the mathematical analysis of numerical methods. Areas of study include solution of nonlinear equations and function optimization, approximation theory, and numerical quadrature. (Same as MAT 5603. Credit cannot be earned for both CS 5603 and MAT 5603.)

5623 Simulation Techniques
(3-0) 3 hours credit. Prerequisites: CS 1723 and STA 3523 or STA 3543, or consent of instructor.
Techniques in simulation on a digital computer. Generation of random numbers from a distribution, Monte Carlo techniques, and use of simulation languages. Development of simulation models for specific problems.

5633 Analysis of Algorithms
(3-0) 3 hours credit. Prerequisite: CS 3343.
Models of computation, design techniques such as divide-and-conquer and dynamic programming, graph algorithms, and sets and union-find. Additional topics chosen from pattern matching, integer and polynomial arithmetic, and the fast Fourier transform.

5971-6 Directed Research
1 to 6 hours credit. Prerequisites: Graduate standing and permission in writing (form available) of the instructor and the student’s Graduate Advisor of Record in which the course is offered. The directed research course may involve either a laboratory or a theoretical problem. May be repeated for credit, but not more than 6 hours, regardless of discipline, will apply to the Master’s degree.

6103 Distributed Software Development
(3-0) 3 hours credit. Prerequisites: CS 5103 and CS 5523.
Development and management of distributed software, including cooperative tools and CASE. The course considers the aspects of managing the configuration of software during its life cycle. Topics include identification, control, auditing, and status accounting. Simulation of a configuration control board process.

6113 Program Visualization and Monitoring
(3-0) 3 hours credit. Prerequisite: CS 5113.
Concepts and techniques of software instrumentation. Window systems programming for postmortem and real-time visualization of program behavior. Applications of visual execution monitors in performance evaluation and debugging.

6133 Software Specification and Verification
(3-0) 3 hours credit. Prerequisite: CS 5633.
This course focuses on languages for specification of programs as well as on verification techniques for sequential, concurrent, and distributed programs.

6243 Machine Learning
(3-0) 3 hours credit. Prerequisite: CS 5233 or CS 5633.
This course studies machine learning techniques in the area of artificial intelligence. Topics include inductive learning, unsupervised learning, speedup learning, and computational learning theory.

6253 Topics in Neural Networks
(3-0) 3 hours credit. Prerequisite: CS 5233 or CS 5633.
Analysis of neural networks. Topics selected from biological nervous systems and learning, threshold logic units, perceptrons, spatial and temporal associative memories, Hopfield nets, backpropagation, Boltzmann machines, Kohonen networks, the Neocognitron, and mathematical models of neural systems. Advanced topics include neural network design, competitive learning, the CMAC model, adaptive resonance theory, bidirection associative memories, Kanerva self-propagating search, advanced simulated annealing, neurocomputer implementations, and advanced genetic algorithms. May be repeated for credit when topics vary.

6363 Advanced Compiler Construction
(3-0) 3 hours credit. Prerequisite: CS 4713 or CS 5363.
Areas of study include code generation techniques for vector machines and multiprocessors, implementation of higher-level imperative and functional languages, and run-time system support for distributed programming languages.

6453 Advanced Database Systems
(3-0) 3 hours credit. Prerequisite: CS 5443 or consent of instructor.
Design and implementation of advanced database systems. Topics include data models, storage management, query optimization, transaction processing, integrity, security, and performance evaluation of emerging new database systems. Current database research topics will be explored.

6463 Advanced Topics in Computer Science
(3-0) 3 hours credit. Prerequisites: Graduate standing and consent of instructor.
Advanced topics in an area of computer science. May be repeated for credit when topics vary.

6513 Advanced Architecture
(3-0) 3 hours credit. Prerequisites: CS 5513 and CS 5523.
Areas of study include advanced architectures, including massively parallel and distributed systems. Issues of communication, fault tolerance, and performance are addressed.

6523 Distributed Operating Systems
(3-0) 3 hours credit. Prerequisites: CS 5513 and CS 5523.
Distributed operating systems issues, including migration, naming, reliability, security, resource allocation, and scheduling are addressed in heterogeneous and homogeneous systems. Time-critical data such as video and audio are considered.

6543 Networks
(3-0) 3 hours credit. Prerequisite: CS 5523.
This course introduces the underlying concepts and principles of modern computer networks, with emphasis on protocols, architectures and implementation issues in the Internet. Prerequisites include basic computer architecture and programming experience in C and Unix

6553 Performance Evaluation
(3-0) 3 hours credit. Prerequisites: CS 5523 and CS 5513.
Performance modeling, analysis, simulation, and measurement.

6593 Advanced Topics in Distributed Systems
(3-0) 3 hours credit. Prerequisite: CS 5523.
Advanced topics in distributed systems. May be repeated for credit when topics vary.

6613 Parallel Numerical Methods and Software
(3-0) 3 hours credit. Prerequisites: CS 5603 and CS 6643.
The major goal of this course is to introduce students to the methods, tools, and ideas of parallel numerical computation. Important scientific application development and the basic methods for their solutions are addressed. Relevant mathematical software is reviewed, and its use is outlined. Extensive examples and case studies are given. Techniques of constructing parallel numerical software are studied.

6643 Parallel Processing
(3-0) 3 hours credit. Prerequisite: CS 5513.
Parallel models of computation, performance measurement, and modeling of parallel algorithms and application studies on parallel computers.

6653 Parallel Algorithms
(3-0) 3 hours credit. Prerequisites: CS 5513 and CS 5633.
Theoretical analysis of parallel algorithms and models. Studies of the fastest and most efficient parallel algorithms for a variety of problems. Emphasis is on fundamental results and techniques and on rigorous analysis of algorithmic performance. The structures and mapping relationships between the dominant network architectures and algorithms are also covered.

6693 Advanced Topics in Application Development
(3-0) 3 hours credit. Prerequisite: Consent of instructor.Advanced applications in applications development. May be repeated for credit when topics vary.

6723 Image Processing
(3-0) 3 hours credit. Prerequisites: Consent of instructor; MAT 2233 and CS 5633, or the equivalent.
Topics include image acquisition, enhancement, transformations, filters, compression, segmentation and edge detection, morphology, and recognition.

6953 Independent Study
3 hours credit. Prerequisites: Graduate standing and permission in writing (form available) of the instructor and the student’s Graduate Advisor of Record.
Independent reading, research, discussion, and/or writing under the direction of a faculty member. For students needing specialized work not normally or not often available as part of the regular course offerings. May be repeated for credit, but not more than 6 hours, regardless of discipline, will apply to the Master’s degree.

6961 Comprehensive Examination
1 hour credit. Prerequisite: Approval of the appropriate graduate program committee to take the Comprehensive Examination.
Independent study course for the purpose of taking the Comprehensive Examination. May be repeated as many times as approved by the Graduate Program Committee. Enrollment is required each term in which the Comprehensive Examination is taken if no other courses are being taken that term. The grade report for the course is either “CR” (satisfactory performance on the Comprehensive Examination) or “NC” (unsatisfactory performance on the Comprehensive Examination).

6973 Special Problems
(3-0) 3 hours credit. Prerequisite: Consent of instructor.
An organized course offering the opportunity for specialized study not normally or not often available as part of the regular course offerings. Special Problems courses may be repeated for credit when topics vary, but not more than 6 hours, regardless of discipline, will apply to the Master’s degree.

6983 Master’s Thesis
3 hours credit. Prerequisite: Consent of thesis director.
Thesis research and preparation. May be repeated for credit, but not more than 6 hours will apply to the Master’s degree. Credit will be awarded upon completion of the thesis. Enrollment is required each term in which the thesis is in progress.

7123 Research Seminar
(3-0) 3 hours credit. Prerequisite: Consent of instructor.
Presentation and analysis of literature in a selected area of research. May be repeated, but only 6 hours will count toward the Ph.D. degree requirements.

7211-6 Doctoral Research
1 to 6 hours credit. Prerequisite: Successful completion of the written part of the Qualifying Examination.
May be repeated for credit, but no more than 12 hours may be applied to the Ph.D. degree requirements. (Formerly CS 7243.)

7311-6 Doctoral Dissertation
1 to 6 hours credit. Prerequisite: Admission to candidacy for doctoral degree.
May be repeated for credit, but no more than 12 hours may be applied toward the Ph.D. degree requirements. (Formerly CS 7693.)