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Undergraduate Course Descriptions |
CS 115: Introduction to ComputersComputer literacy. History of computing, description of basic hardware
components, use of application software, introduction to internet resources,
uses of computers in society, and the impact of computerization on society.
Prerequisites: MATH 096 or two years of high school mathematics. 3 credits.
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CS 117: FORTRAN Programming for Scientists and EngineersA structured approach to programming and problem solving in FORTRAN 90. Emphasis is placed on techniques of good programming style and on solving
numerical problems encountered in science and engineering. Includes use of
standard library routines.
Prerequisites: MATH 181. 3 credits.
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CS 119: C Programming for Scientists and Engineers
A structured approach to programming and problem solving in the C language.
Emphasis is placed on techniques of good programming style and on solving
numerical problems encountered in science and engineering. Includes use of
standard library routines.
Prerequisites: MATH 181. 3 credits.
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CS 135: Computer Science I
Problem-solving methods and algorithm development in a
high-level programming language. Program design, coding,
debugging and documentation using techniques of good programming
style. 3 hours lecture and 1 hour lab.
Prerequisites: MATH 127
or 128. 3 credits.
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CS 140: Computing Languages
Use of a single programming language for problem formulation and
solution. Language will vary each semester. Typical languages
are Java, Lisp, Prolog, Scheme, etc. Prerequisites: Ability to
program in a high-level language. May be repeated if language
is different.
1-3 credits.
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CS 202: Computer Science II
Data structures and algorithms for manipulating linked lists.
String and file processing. Recursion. Software engineering,
structured programming and testing, especially larger programs.
Prerequisites: CS 135. 3 credits.
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CS 218: Introduction to Systems Programming
Algorithms from systems programming including conversion,
buffering, device drivers, assemblers and loaders. Use of system
services, macros, and linkage conventions. Laboratory exercises
are programmed in assembly language.
Prerequisites: CS 135 and ECG 100. 3 credits.
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CS 219: Computer Organization
Basic organization of digital computers, including I/O units,
arithmetic logic units, control units and memory organization.
Number and character representations. Instruction sets and
addressing. Microprogramming.
Prerequisites: CS 202 and CS 218. 3 credits.
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CS 270: Introduction to the Internet and World-Wide Web
Introduction to Internet and Web tools and resources,
including Web browers, robots and search engines, agents, multimedia
authoring environments, electronic publishing, virtual reality,
anonymizing and the use of relative identities, Internet
security, digital watermarking, and Web censorship. Programming
skills will be covered in the required corequisite laboratory CS 270L. For
non-CS majors only.
Prerequisites: CS 115. 3 credits.
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CS 302: Data Structures
Introduction to sequential and linked structures. File ac-
cess including sequential, indexed sequential and other file
organizations. Internal structures including stacks, queues,
trees, and graphs. Algorithms for implementing and manipulating
structured objects. Big-O-notation.
Prerequisites: CS 202 and MATH 181. 3 credits.
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CS 326: Programming Languages, Concepts and Implementation
Design, evaluation and implementation of programming languages.
Includes data types and data abstraction, sequence control and
procedural abstraction, parameter passing techniques, scope
rules, referencing environments and runtime storage management.
Study and evaluation of a number of current programming
languages.
Prerequisites: CS 219 and CS 302. 3 credits.
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CS 341: Internet Programming
Introduction to the principles of information security. Survey of
information security technologies, management and administration
techniques necessary to improve information security and respond to
security breaches, legal and ethical issues relating to information
security, and case studies.
Prerequisites: CS 302. 3 credits.
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CS 351: Introduction to Multimedia
The nature and development of digital multimedia, including content
selection, scripting, editing, transforming, and producing multimedia
material. Students will become familiar with basic multimedia
development environments, including analog and digital image and
video capturing, motion development tools, scripting environments, and
meta-level directing software. Semester project will involve creation
of an entire multimedia CD. Requires the corequisite laboratory CS
351L.
Prerequisites: CS 202. 3 credits.
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CS 370: Operating Systems
Operating systems organization, sharing and allocation of system
resources, protection mechanisms, and integration of system
components.
Prerequisites: CS 219 and CS 302. 3 credits.
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CS 417: Introduction to Computer Simulation
Simulation as a tool for the investigation of random phenomena.
Emphasis on discrete simulation. Preparation of input for
simulation and analysis of results. The use of SIMSCRIPT for
discrete simulation. Comparison of discrete and continuous
simulation. Simulation problems in several disciplines will be
examined in detail.
Prerequisites: CS 302 and STAT 411. 3 credits.
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CS 441: Advanced Internet Programming
Advanced Internet program design and applications, including
client/server technologies, environment and software, operating
systems, and database management systems. Also data warehousing
environments, data mining, basic network models and protocols, CASE
tools, Groupware, Middleware, Internet security and privacy issues.
Requires the corequisite laboratory CS 441L.
Prerequisites: CS 370 and CS
341. 3 credits.
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CS 445: Internet Security
Internet security theory and practice, advanced IP concepts, the
concepts of stimulus and response in the context of securing a
network, network packet and traffic analysis, internet protocol
vulnerabilities, packet filtering, intrusion detection, internet
exploits, exploit signatures, internet forensics, and network security
investigation.
Prerequisites: CS 345 and CS 465. 3 credits.
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CS 448: Computer Security
Overview of computer security, threats, vulnerabilities, and controls.
Physical security, computer security policies and implementation plans, and
computer forensics including penetration testing and investigation.
Management issues. Legal, privacy, and ethical issues.
Prerequisites: CS 345 and CS 370. 3 credits.
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CS 451: Multimedia Systems Design
Theory and practice of multimedia system design. Topics include
multimedia content and formats, underlying technologies, digital
cinematography, scripting, storyboarding, CD-ROM production, online
publication, and porting multimedia to the Web. Emphasis on the
design process and seamless integration of content in an interactive
environment. Requires the corequisite laboratory CS 451L.
Prerequisites: CS 351. 3 credits.
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CS 456: Automata and Formal Languages
Regular expressions. Regular, context-free, and unrestricted
grammars. Finite and pushdown automata. Turing machines and
halting problem; introduction to decidability.
Prerequisites: CS 302 and MATH 351. 3 credits.
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CS 457: Database Management Systems
Concepts and structures necessary for design and implementation
of a database management system. Survey of current database
management systems and use of a DBMS.
Prerequisites: CS 302
and MATH 351. 3 credits.
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CS 460: Compiler Construction
Current methods in the design and implementation of compilers.
Construction of the components of an actual compiler as a term
project.
Prerequisites: CS 326 and CS 456. 3 credits.
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CS 463: Computer Architecture
An introduction to computer architecture. Topics include history
and taxonomy of computer architectures; language and software
influences on architecture; instruction set design; stack, array,
dataflow, and database machines; multi-processor and network
architectures; and fault tolerant designs.
Prerequisites: CS 370. 3 credits.
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CS 465: Computer Networks
Data communication fundamentals. The hardware components, topology,
interconnection, software, protocols, and uses of computer networks.
The OSI protocol. Physical, datalink, network, transport,
session, presentation, and application layers.
Prerequisites: CS 370. 3 credits.
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CS 469: Intro. to Digital Image Processing
Background and basics of digital image processing. Topics include: the
human vision system, image representation, sampling, image
mathematics and geometry, image enhancement, smoothing and
sharpening, the fast Fourier transform, and a survey of image restoration
methods.
Prerequisites: MATH 365, STAT 411, CS 117 or 135. 3 credits.
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CS 471: Program Derivation
An introduction to the formal derivation of computer programs from
program specifications. Review of the logical and notational
prerequisites needed for formal derivation. Guarded commands and the
predicate transformer WP. Developing loops from invariants and
bounds. Developing invariants. Program development via a sequence of
refinements.
Prerequisites: CS 326 and MATH 351. 3 credits.
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CS 472: Software Product Design and Development I
Introduction to the history of software product engineering with an
overview of problems encountered and a summary of the current
state-of-the-art. Both individual exercises in object-oriented analysis
and a final team project to prepare and document the architecture of
a product are required. Students learn UML and gain practice in
visual modeling using a CASE tool.
Prerequisites: CS 326 and CS 370. 3 credits.
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CS 473: Software Product Design and Development II
A synthesis (term project) course to involve students, working in
teams, in all of the activities necessary to define, model, implement,
test, and deliver a program product. Students will practice
object-oriented development and will utilize UML and CASE tools to
model the product and document the process.
Prerequisites: CS 472. 3 credits.
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CS 474: Decision Environments for Software Product Development
A term project course to involve students, working in teams, in all
the activities necessary to manage a software product development
team. Students will utilize CASE tools for planning, requirements
management, configuration management, and product and process measurement
for an actual product develpment project.
Prerequisites: CS 472. 3 credits.
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CS 477: Analysis of Algorithms
Analysis of the time and space complexity of algorithms.
Techniques for efficient algorithm design and effect of
structure choice on efficiency. Fast algorithms for problems
such as set, graph and matrix manipulations, pattern matching,
sorting, and storage organization. Exponential time problems
and introduction to NP-completeness.
Prerequisites: CS 302 and MATH 351. 3 credits.
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CS 480: Computer Graphics
Graphics hardware, software and applications. Data structures
for graphics, graphics languages, computer-aided design, and
three-dimensional graphics.
Prerequisites: CS 302 and MATH 365. 3 credits.
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CS 482: Artificial Intelligence
Survey of current artificial intelligence technologies; game
playing, theorem-proving, natural language processing, pattern
recognition, and heuristic programming.
Prerequisites: CS 302 and PHI 421. 3 credits.
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CS 489: Advanced Computer Science Topics
An undergraduate-level course in advanced topics of computer
science, depending upon the interest of faculty and students.
Prerequisites: Consent of instructor. May be repeated to a
maximum of 6 credits.
3 credits.
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CS 490: Independent Study
Library research and reports on topics of computer science
interest. May be repeated for credit with the consent of the
Department of Computer Science.
Except under special circumstances, total credits will be
limited to six.
1-3 credits.
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