Ritter, G. X., Chair; Wilson, J. N., Associate Chair; King, J.A., Academic Undergraduate Coordinator; Bermudez, M. E.; Chakravarthy, S.; Chow, Y. C.; Crummer, A.; Dankel, D.D.; Davis, T.A.; DeSimone, R.J.; Fishwick, P.; Fu, L.; Hammer, J.; Hanson, E. N.; Haskins, G.; Haskins, L. B.; Helal, S.; Lee, Y. H.; Livadas, P. E.; Lynch, M.; Massingill, B.; Newman, R.; Peir, J. K.; Peters, J.; Rajasekaran, S. Ranka, S. Sahni, S.; Sanders, B. A.; Selfridge, R. G.; Schmatz, M.; Sitharam, M.; Su, S.Y. W.; Taylor, F.; Thebaut, S. M.; Vemuri, B. C.

GENERAL INFORMATION: Bachelor degree programs are currently available through the College of Liberal Arts and Sciences, the Warrington College of Business Administration, and the College of Engineering. A minor in Computer and Information Science, Master’s degree programs and a Ph.D. program are also available.

The student is referred to the Warrington College of Business section of the catalog for degree requirements in the Computer and Information Sciences degree program.

The student is referred to the College of Engineering section of the catalog for degree requirements in the Computer Engineering degree program offered by the CISE Department.

The student is referred to the College of Liberal Arts and Sciences section of the catalog for degree requirements in the Computer and Information Sciences degree program.

Introduction to computers and algorithms. Programming in a high level language. Topics include procedural abstraction, data abstraction and structured programming techniques. The student will learn the fundamentals of developing coherent, expressive programs. (M) GR-M†

Directed work project in utilization of information resources, particularly database management software. Topics in analysis and design of application systems through all phases of system development. GR-M†

Problems in different areas of computer science.

The first part of a two-course sequence in which interdisciplinary teams of students learn structured design methods applied to industry-sponsored projects. Topics include: determining product specifications based on customer needs, project management, concurrent engineering, and system-level design.

The second part of a two-course sequence in which interdisciplinary teams of students learn structured design methods applied to industry-sponsored projects. Topics include: determining product specifications based on customer needs, project management, concurrent engineering, and system-level design.

Involves completing a significant CISE related project. Student must coordinate with the instructor and a project adviser, prepare a detailed technical report and deliver an oral presentation. GR-M†

Topics vary. Particular computer languages such as JCL, ADA, etc., and current topics of interest in area of computer and information sciences. GR-M†

Reports and discussions on CISE research, current developments, practice and publications.

Practical engineering work under industrial supervision, as set forth in the College of Engineering Regulations. GR-M†

Survey of techniques used to replicate the human vision process in computer systems. Topics include image formation, image algebra, filtering, range extraction, edge and boundary detection, region growing, and model based vision.

Introduction to artificial intelligence concepts. Heuristic search, clause form logic, knowledge representation, reasoning and inference, overview of computer vision, planning, natural language, Lisp and Prolog. GR-M†

A study of the major topics in computer graphics; display and output technology; two and three dimensional manipulations; space curves and surfaces; hidden surface removal and shading models.

Simulation methodology and practice. Covers basic concepts in modeling and analysis for both continuous and discrete systems. Combined simulation methods, including integrated qualitative/quantitative system modeling. Will use in-house simulation software. GR-M†

Organization of computing systems. Logical basis of computer structure. Machine representation of instructions and data, flow of control, and basic machine instructions. Assembly language programming. GR-M†

Introduction to computer architecture and system organization including virtual memory supports cache, pipeline, vector processing, multiprocessor and RISC architecture.

Topics include software planning, specifications, coding, testing and maintenance. Students gain experience in the team approach to large system development. GR-M†

Applications of software engineering methodologies and tools in software development and maintenance. Students gain hands-on experience via software engineering group projects, including decision making, communication and presentation.

This course covers problems in design and analysis of computer networks. While some effort focuses on low level protocols, most of the course is devoted to higher level protocols at the medium access, network and transport layers. Students should be familiar with graph theory and basic probability.

Focus is on developing skills that take full advantage of the Internet and its resources. Emphasis will be placed on learning to effectively use electronic mail, newsgroup readers, FTP and WWW search engines. Focus will then shift to advanced HTML authoring and networking fundamentals. Lab assignments and projects will be used to gauge the student’s mastery of the material.

An in-depth treatment of computer programming using FORTRAN. Problems related to a variety of disciplines are solved. An introduction to the basic concepts of software and hardware is provided. This course cannot be used for credit toward a CISE degree program. (M) GR-M†

See Industrial and Systems Engineering. GR-M†

An introduction to the software packages AutoCAD, Lotus 1,2,3 and Dbase III as tools for building architecture design and drafting. (M) GR-M†

An introduction to word processing, spreadsheet and database software packages on IBM-PC. Students who successfully complete this course should be capable of using a software package to solve problems

relating to their major areas of study. This course cannot be used for credit toward a CISE degree program by majors in the Colleges of Engineering and Liberal Arts and Sciences. (M) GR-M†

DOS: programming with DOS batch files, Lotus: Custom menus, programming with macros, dBASE: programming. This course cannot be used for credit toward a CISE degree program. (M) GR-M†

Techniques for coding and analysis of research data using SAS (Statistical Analysis System). Requires computer solution of assigned problems by the student. This course cannot be used for credit toward a CISE degree program. (M)

Impact of computers on society. Discussion includes specific cases from many areas, but does not include problem solution by the student. This course does not teach how to use the computer but gives an understanding of the implications of computers. This course cannot be used for credit toward a CISE degree program. (S) GR-E†

This course explores the history, the myth, the ethics, the law and the risks of computer-based technology in modern society. Emphasis will be placed on critical analysis of hypotheticals and case studies. Published material will be supplemented with on-line Internet references.

By applying basic ethical principles, this course examines legal and ethical controversies emerging from the new technology-based, information age.

A course in COBOL programming for non-CISE majors. Structured programming in COBOL is stressed. Topics include data transfer, arithmetic and logical operations, the structuring of data, and arrays. This course cannot be used for credit toward a CISE degree program. (M) GR-M†

Problems related to a variety of disciplines are solved. An introduction to the basic concepts of software and hardware is provided. This course cannot be used for credit toward a CISE degree program. (M) GR-M†

Introduction to computational cognitive science. Discussion of fundamental topics common to artificial intelligence, neuroscience, and psychology. The role of representations; semantically transparent systems. Laboratory simulations.

Study of the basics of databases and database management techniques. Design and implementation of a real-world application on a microcomputer DBMS. This course cannot be used for credit toward a CISE degree program. (M) GR-M†

Techniques for business information systems programming in COBOL utilizing comprehensive facilities of the COBOL language. Business applications and examples of their solutions will be employed throughout. Topics include advanced table handling as well as sequential, random, and indexed file organizations and manipulation techniques in COBOL.
GR-M†

An introduction to a specific programming language, which may vary according to section. Course may be repeated for different languages. There is a departmental limit on the number of credit hours that may count toward a CISE Degree.

Algorithm development using pseudo languages, basic program structures, program design techniques, storage and manipulation of basic data structures like arrays, stacks, queues, sorting and searching and string processing. Linked linear lists. Trees and multilinked structures. GR-M†

An introduction to a specific operating system interface, which may vary according to section. Course may be repeated for credit for different systems. There is a departmental limit on credit hours of this course applied to CISE Degree.

An introduction to programming language principles, including language constructs, design goals, run-time structures, implementation techniques, and exposure to a wide variety of programming paradigms.

This course discusses fundamental conceptual models for programming languages and illustrates these with specific programming languages and application problems. Specific topics include class and object models and inheritance among classes and objects and static and dynamic systems and implementations.

The design and implementation of various components of a modern operating system including I/O programming, interrupt handling, process and resource management, computer networks and distributed systems. GR-M†

Translation of languages, scanning and parsing techniques. Translator writing systems. The implementation of a compiler. GR-M†

Provides a conceptual understanding of database management systems in terms of the hierarchical, network and relational data models and their corresponding languages. Data modeling and analysis, database design and administration. Review of file structures and a discussion of database implementation techniques. Knowledge of at least two programming languages essential. GR-M†

Sets, relations, functions and cardinality. Propositional logic and applications. Predicate logic. Induction and recursion. Finite state machine, grammar and languages. Graphs and trees. Elements of groups, semigroups, lattices and boolean algebra. (M) GR-M†

Models of computation, asymptotic complexity and analysis methods of solving recurrences, design, paradigms such as divide and conquer and dynamic programming. Key data structures and applications in algorithm design. Complexity of sorting, selection, graph properties, polynomial and matrix operations.

Finite and infinite state machines, Turing machines, formal languages and their recognition automata. Recursive functions. Decidability and unsolvability, halting problem. Space time trade-offs.

Numerical integration, nonlinear equations, linear and nonlinear systems of equations, differential equations and interpolation.