Combines the traditional media production pipeline and software engineering processes to synthesize an approach geared for the production of works incorporating both artistic and computational elements.

Synergy between fine art and computing through a programming-oriented exploration of fundamental concepts in multimedia.

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. (MR)

Concepts, theory and various applications for knowledge-based (expert) systems, reasoning schemes, knowledge representation, knowledge-based system tools, building knowledge bases, knowledge acquisition, reasoning under certainty and inexact reasoning.

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. (MR)

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. (MR)

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. (MR)

A comprehensive approach to problem solving using computer software. Topics include advance spreadsheet analysis, simulations, decision information, and forecasting, database management including queries, relationships and the use of page objects for interactive reporting, advanced customization, macros development, and programming in Visual Basic. Topics also include evaluation of operating systems, document development, Web design and the Internet. Cannot be used toward any CISE degree.

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.

Concepts, principles and techniques of software testing and verification. Strengths and limitations of black-box and white-box testing methods; techniques for proving the correctness of programs.

This course covers the fundamental concepts, principles and standards of computer networks. Topics will be introduced in a bottom-up approach starting from the Physical layer in the OSI system architecture with a stronger focus on Data Link, MAC, Network and Transport layers. (MR)

Introduction to interdisciplinary computer science topics. Logic, discrete structures, algorithms, and automa. Exploration of topics relating mathematics and computing to art, music and nature.

This course provides an in-depth treatment of computer programming using JAVA. Problems related to a variety of disciplines are solved. An introduction to the basic concepts of software and hardware is provided. Students will develop a variety of stand-alone applications and applets. For non-cise majors only.

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. (M) (MR)

See Industrial and Systems Engineering. (MR)

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

A problem solving introduction and thorough exploration of word processing, spreadsheet analysis, database management, multimedia presentations, e-mail, and the Internet. Topics also include hardware, software, and information technology. This problem solving approach will aid students in their major areas of study. (M) (MR)

Programming with DOS batch files; Lotus custom menus and programming with macros; dBASE programming. (M) (MR)

Introduction to programming and data structures for interactive two-dimensional multimedia applications. Representing form and transforms in two dimensions, capturing user actions and driving application behavior interactively. Graphical interfaces, image processing, automa and basic artificial intelligence.

Introduction to programming and data structures for interactive three-dimensional multimedia applications. Representing form and transforms in three dimensions, capturing user actions and driving application behavior interactively. Rendering, scene graphs, automa and basic artificial intelligence.

Introduction to topics related to computer-aided animation. Rigging for forward and inverse kinematics. Skin weighting. Morph targets. Expression-driven animation, rigid-body and particle simulation.

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. (S) (WR)

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.

Using the Internet: electronic mail, newsgroup readers, FTP and WWW search engines. Advanced HTML authoring and networking fundamentals. Lab assignments and projects, developing a web presence for a client organization.

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

Introduction to topics related to computer-aided modeling. Polygonal mesh, NURBS and subdivision surface meshes. Materials and shading networks. Lighting, shadows and rendering.

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. (M) (MR)

Problems related to a variety of disciplines are solved. An introduction to the basic concepts of software and hardware is provided. (M) (MR)

This course provides an in-depth treatment of the C++ programming language and an introduction to Windows programming using Visual C++.

Study of the basics of databases and database management techniques. Design and implementation of a real-world application on a microcomputer DBMS. (M) (MR)

A fast paced introduction to computer science for students with prior programming experience. Major concepts of computer science and the process of computer programming including object-oriented programming, procedural and data abstraction and program modularity. (M) (MR)

The 1st course of a two-semester intro sequence for students w/o prior programming experience. Major concepts of computer science & the process of computer programming including object-oriented programming, procedural & data abstraction & program modularity.

The second course of a two-semester introductory sequence for students w/o prior programming experience. Major concepts of computer science and computer programming processes, including object-oriented programming, procedural and data abstraction and program modularity.

The first part of a two-course sequence which studies the essential concepts, principles, and techniques of modern database systems. Topics include modeling and querying of data using conceptual data models as well as the development of a database application. (MR)

Problems in different areas of computer science.

The first part of a two-course sequence where teams of engineering and business students partner with industry sponsors to design and build authentic products and processes. Working closely with an industry liaison engineer and a faculty coach, students gain practical experience in teamwork and communication, problem solving and engineering design, and develop leadership, management and people skills. Weekly workshop activities adapt lecture topics to individual projects. Students learn firsthand how to develop products and processes that meet customer requirements on time and within budget.

The second part of the CIS 4912-4913 sequence.

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. (MR)

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

One term practical software engineering work under industrial supervision as set forth in the College of Engineering regulations.

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

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. (MR)

An introduction to a specific programming language, which may vary according to section. Course may be repeated for different languages.

This course is an introduction to structure programming, design environment, controls, properties, programming, and applications of Visual Basic programming language. The course utilizes Visual Basics, a general-purpose language but also emphasizes problem-solving solutions and methods for varied applications. Students are introduced to object-oriented and event-driven programming. Topics include forms, events, properties, syntax and file processing. Problems related to a variety of disciplines are solved.

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. (MR)

An introduction to a specific operating system interface, which may vary according to section. Course may be repeated for credit for different systems.

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.

A study of the underlying concepts and techniques employed in the installation, administration, and tuning of UNIX operating systems. Topics covered include operating system installation, simple network configuration, file backup and restore, account administration, device management, scheduling, file systems, network management, and basic system and network security.

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. (MR)

Translation of languages, scanning and parsing techniques. Translator writing systems. The implementation of a compiler. (MR)

Part two of a two-course sequence. Provides students with a basic understanding of the internals of a modern database system. Topics covered include data storage, indexing, query processing, as well as advanced concepts such as database tuning, alternate data models, and emerging applications. (MR)

Covers the mathematics of discrete events, i.e., events that involve distinct elements, finite structures of distinct elements, or finite sampled versions of continuous phenomena (such as movement). (M) (MR)

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