The following table shows which undergraduate courses are Required, and which are selective for the common Bachelor of Science in Computer Science, and for the 3 concentration areas: CSO – the Computer Systems Concentration, HCC – the Human-Centered Computing Concentration, and SE – the Software Engineering Concentration.

100 level coursesBSCSOHCCSE
CS 100Computer Literacy
CS 101Introduction to ComputingRRRR
CS 102Introduction to ProgrammingRRRR
CS 107Introduction to Computing and Programming
CS 108FORTRAN Programming for Engineers
CS 109C/C ++ Programming for Engineers with MatLab
200 level coursesBSCSOHCCSE
CS 201Data Structures and Discrete Mathematics IRRRR
CS 202Data Structures and Discrete Mathematics IIRRRR
CS 266Computer Architecture I: Logic and Computer StructuresRRRR
300 level coursesBSCSOHCCSE
CS 301Languages and AutomataRRRR
CS 335Computer EthicsRRRR
CS 340Software DesignRRR
CS 366Computer Architecture II: Hardware-Software InterfaceRRRR
CS 376Practicum in Computer Science PresentationsRRRR
CS 385Operating Systems Concepts and DesignRRRR
CS 398Undergraduate Design/Research
400 level coursesBSCSOHCCSE
CS 401Computer Algorithms IRRR
CS 411Artificial Intelligence Is
CS 415Computer Vision Is
CS 421Natural Language Processings
CS 422User Interface Design and ProgrammingR
CS 424Visualization and Visual Analyticss
CS 426Video Game Design and Developments
CS 440Introduction to Software EngineeringRR
CS 441Distributed Object Programming Using Middlewares
CS 442Software Engineering IIR
CS 450Introduction to Networking
CS 455Design and Implementation of Network Protocols
CS 466Advanced Computer Architecture
CS 469Computer Systems Designs
CS 473Compiler Design
CS 474Object-Oriented Languages and Environments
CS 476Programming Language Design
CS 480Database Systemss
CS 485Networked Operating Systems Programmings
CS 487Building Trustworthy Computing Systems
CS 488Computer Graphics Is
CS 491Seminar
CS 493Special Problems
500 level courses
 Theory courses
CS 501Advanced Algorithms
CS 502Design and Analysis of Efficient Algorithms in Computational Biology
CS 503Applied Graph Theory
CS 505Automata Theory
 Artificial Intelligence Courses
CS 511Artificial Intelligence II
CS 513Logic Programming
CS 514Expert Systems
 Human Centered Computing Courses
CS 515Advanced Computer Vision
CS 521Statistical Natural Language Processing
CS 522Human-Computer Interaction
CS 523Multi-Media Systems
CS 524Visualization and Visual Analytics II
CS 525Graphics Processing Unit (GPU) Programming
CS 526Computer Graphics II
CS 527Computer Animation
CS 528Virtual Reality
 Software Engineering Courses
CS 540Advanced Topics in Software Engineering
CS 541Software Engineering Environments
CS 542Distributed Software Engineering
 Distributed Computing and Networking Courses
CS 545Formal Methods In Concurrent and Distributed Systems
CS 553Distributed Computing Systems
CS 554Concurrent Computing Systems
 Special Areas
CS 559Neural Networks
CS 565Algorithms for VLSI Physical Design
CS 566Parallel Processing
CS 567Principles of Computational Transportation Science
CS 569High Performance Processors and Systems
 Database and Data Mining Courses
CS 577Object Stores
CS 580Query Processing in Database Systems
CS 581Database Management Systems
CS 582Information Retrieval
CS 583Data Mining and Text Mining
CS 586Data and Web Semantics
 Security Courses
CS 587Computer Systems Security
CS 588Security and Privacy in Networked and Distributed Systems
 Research Courses
CS 594Special Topics
CS 595Departmental Seminar
CS 596Individual Study
CS 597Project Research
CS 598M.S. Thesis Research
CS 599Ph.D. Thesis Research
IT courses
IT 101Java Programming for Information Technology
IT 201Introduction to Computer Configuration and Operating System Software
IT 202Web and Multimedia Programming
IT 301Networks and Distributed Computing
IT 302Database Administration and Installation


100 level courses

CS 100 Computer Literacy

3 Hours. No graduation credit for students enrolled in a major offered by the Departments of Computer Science or Electrical and Computer Engineering. Introduction to computing; the Internet; Web; file systems; electronic mail; basic tools (such as editors, databases); programming concepts; computer ethics; security and privacy. Computer lab. Prerequisite: NONE

CS 101 Introduction to Computing

3 Hours. Introduction to computing resources and tools. Computer access, security, and responsibility. Navigation and communication. Networks; Internet resources. Applications. Programming languages, concepts and practice. Programming exercises. Prerequisite: NONE

CS 102 Introduction to Programming

3 Hours. Programming languages and program design; data types and operators, expressions, control structures, procedures and modularity. Language definition and programming laboratory. Prerequisite:CS 101 or consent of the instructor and credit or concurrent registration in Math 180.

CS 107 Introduction to Computing and Programming

4 Hours. Credit is not given for CS 107 if the student has credit in CS 101 or CS 102. Access and use of computing resources. Programming and program design. Problem solving. Data types, control structures, modularity, information hiding. Prerequisite: Credit or concurrent registration in Math 180.

CS 108 FORTRAN Programming for Engineers

3 Hours. Program design using FORTRAN: data types and operators; control structures; subprograms, file I/O; common storage. Engineering applications: matrix representations and operations; equation solutions Prerequisite: Credit or concurrent registration in Math 180.

CS 109 C/C ++ Programming for Engineers with MatLab

3 Hours. Program design using C/C++: Data types and operators, control structures, functions, file I/O, arrays and structures. Engineering applications: Matrices, equation solution, MatLab. Programming assignments. Extensive computer use required. Prerequisite: Credit or concurrent registration in Math 180.

200 level courses

CS 201 Data Structures and Discrete Mathematics I

4 Hours. Credit is not given for CS 201 if the student has credit in MCS 261. Lists, stacks, queues, sets, hash tables, introduction to trees and graphs. Algorithm correctness and complexity, inductive proofs, logic. Programming projects. Prerequisite: Math 180 and a grade of C or better in CS 102 or inCS 107

CS 202 Data Structures and Discrete Mathematics II

3 Hours. Combinatorics; complex data structures: trees, heaps, and graphs. Sorting and searching algorithms. Programming projects. Prerequisite: Grade of C or better in CS 201

CS 266 Computer Architecture I: Logic and Computer Structures

4 Hours. Credit is not given for CS 266 if the student has credit in ECE 265 or ECE 267 or ECE 366. Architecture from gate level up. Combinational and sequential logic. Logical minimization. Integer number systems, arithmetic. Datapath design. Finite state machines. Register-based architecture. Memory technologies. Prerequisite: CS 102

300 level courses

CS 301 Languages and Automata

3 Hours. Regular sets and finite automata. Context-free languages and push-down automata. Parsing. Computability theory including Turing machines and decidability. Prerequisite: Grade of C or better inCS 201 and credit or concurrent registration in CS 202

CS 335 Computer Ethics

2 Hours. Ethical, societal and environmental issues for computer professionals. Professional ethics, software ownership, unreliability, responsibility, privacy, computer crime, veracity, expert systems, workplace and health issues. Prerequisite: CS 202

CS 340 Software Design

4 Hours. Programming language semantics, scope, overloading, data abstraction, constructors. Procedural and object-oriented design, programming tools and environments. Interactive application structure and interface, windows, events, widgets. Prerequisite:CS 202

CS 366 Computer Architecture II: Hardware-Software Interface

4 Hours. Credit is not given for CS 366 if the student has credit in ECE 265 or ECE 267 or ECE 366. A continuation of CS 266. Control-unit and I/O design; assembly language and machine programming; hardware control and I/O; memory hierarchy and caching. Prerequisite: CS 266

CS 376 Practicum in Computer Science Presentations

1 Hours. Techniques for effective presentation of computer science topics: terminology, organization, visual aides and delivery of technical talks; presentations and presentation evaluation required. Prerequisite: Engl 161 and CS 102

CS 385 Operating Systems Concepts and Design

4 Hours. Operating systems issues, operations. Process execution, scheduling; memory management, virtual memory design; concurrent process coordination, properties: deadlock, mutual exclusion synchronization primitives; distributed systems issues; network design. Prerequisite: CS 201 and eitherCS 366 or ECE 267

CS 398 Undergraduate Design/Research

3 Hours. Undergraduate Design/Research Prerequisite: Consent of the instructor

400 level courses

CS 401 Computer Algorithms I

3 Hours. Same as Mathematical Computer Science 401. Design and analysis of computer algorithms. Divide-and-conquer, dynamic programming, greedy method, backtracking. Algorithms for sorting, searching, graph computations, pattern matching, NP-complete problems. Prerequisite: Grades of C or better in Stat 381 and MCS 360; or CS 202

CS 411 Artificial Intelligence I

3 Hours. Problem representation; rule-based problem-solving methods; heuristic search techniques. Application to expert systems, theorem proving, language understanding. Individual projects. Prerequisite: CS 202

CS 415 Computer Vision I

3 Hours. Computer vision system design. Segmentation and representation of regions and boundaries; image filtering; object recognition; advanced topics (examples: texture, stereo, color); applications. Programming assignments. Prerequisite: CS 202 or MCS 360 or consent of the instructor

CS 421 Natural Language Processing

3 Hours. Design of natural language processing systems; part-of speech tagging, statistical and symbolic parsers; semantic interpretation; discourse and dialogue processing; natural language generation; applications. Prerequisite: CS 301 or MCS 441

CS 422 User Interface Design and Programming

3 Hours. course website. User interface design, implementation, and evaluation; user-centered design methodologies, windowing systems, I/O devices and techniques, event-loop programming, user studies. Programming projects. Prerequisite: CS 340

CS 424 Visualization and Visual Analytics

3 Hours. course website . Geospatial visualization, scientific visualization, medical visualization, information visualization, and social network visualization, interaction, data analysis, human factors, dynamic data, privacy, uncertainty, data transforms. Programming projects. Prerequisite: CS 202

CS 426 Video Game Design and Development

3 Hours. Interdisciplinary teams will design, develop and demonstrate real-time interactive applications such as video games and computer-based museum installations. Topics will focus on emerging computer science techniques that are relevant to the development of these types of environments. Prerequisite: CS 107 and CS 201

CS 440 Introduction to Software Engineering

3 Hours. Software life-cycle model, requirement specification techniques, large-scale software design techniques and tools, implementation issues, testing and debugging techniques, software maintenance. Prerequisite: CS 340

CS 441 Distributed Object Programming Using Middleware

3 Hours. Extensive computer use required. Design and implementation of distributed object programs using middleware software standards; interface definition languages and programming language mappings; static and dynamic object communication mechanisms. Prerequisite: CS 340 and CS 385

CS 442 Software Engineering II

3 Hours. Advanced concepts in software development: requirements engineering, cost estimation, risk analysis, extreme programming, regression test case selection, and design patterns. Software lab assignments required. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite: CS 440

CS 450 Introduction to Networking

3 Hours. Course Wiki. Credit is not given for CS 450 if the student has credit in ECE 433. Network protocols, algorithms, and software issues. Topics include the open systems interconnect model, data link, network and transport layers, TCP/IP, ATM, mobile networks. Prerequisite: CS 202 and CS 385, and either Stat 381 or Stat 401 or IE 342

CS 455 Design and Implementation of Network Protocols

3 Hours. Network protocols and their software. Examines OS network interface through network layers. Topics include routing, congestion control, fault tolerance, security, name servers, multicast, and performance. Prerequisite: CS 340 andCS 450

CS 466 Advanced Computer Architecture

3 Hours. Credit is not given for CS 466 if the student has credit in ECE 466. Design of high performance computer architecture. Cost-performance; instruction sets; pipelining; memory hierarchy; I/O. Prerequisite: CS 366

CS 469 Computer Systems Design

3 Hours. Credit is not given for CS 469 if the student has credit in ECE 368 or ECE 469. Analysis and modeling of digital systems; hardware description languages; CAD tools for simulation, synthesis, and verification of computer systems. Project: a simple processor design. Prerequisite: CS 366

CS 473 Compiler Design

3 Hours. Same as Mathematical Computer Science 411. Language translation: lexical analysis, parsing schemes, symbol table management, syntax and semantic error detection, and code generation. Development of fully-functional compiler. Prerequisite: Grade of C or better in either CS 301 or MCS 441, and in either CS 202 or MCS 360 and CS 266

CS 474 Object-Oriented Languages and Environments

3 Hours. Data abstraction, classes and objects, messages and methods, polymorphism and dynamic binding, inheritance. Object-oriented design. Pure and hybrid object-oriented languages. Prerequisite:CS 340

CS 476 Programming Language Design

3 Hours. Same as Mathematical Computer Science 415. Definition, design and implementation of programming languages. Syntactic and semantic description; variable bindings, control and data structures; parsing, code generation, optimization; exception handling; data abstraction. Prerequisite: MCS 261 and MCS 275; or CS 340

CS 480 Database Systems

3 Hours. Database design, logical design, physical design. Relational, hierarchical and network databases. Recovery, concurrency control. Normalization. Prerequisite: CS 202

CS 485 Networked Operating Systems Programming

4 Hours. Concepts, design, and programming of multi-process and distributed systems; inter-process communications; fault tolerance; distributed programming semantics. Programming assignments and project required. Prerequisite: CS 385

CS 487 Building Trustworthy Computing Systems

3 Hours. Introduction to computer security. Techniques for secure programming of systems (avoiding stack smashing attacks, race conditions). Security and privacy issues in existing host systems including viruses, worms, sandboxing. Network security including TCP/IP security, firewalls and intrusion detection. Prerequisite: CS 385; CS 450 Recommended

CS 488 Computer Graphics I

3 Hours. Same as Art and Design 488. Principles of interactive computer graphics. Raster and vector display, techniques and hardware considerations. Introduction to two-dimensional and three dimensional rendering. Laboratory. Prerequisite: Credit or concurrent registration in CS 340

CS 491 Seminar

4 Hours. May be repeated for credit. Topics of mutual interest to a faculty member and a group of students. Offered as announced by department bulletin or the Timetable Prerequisite: Consent of the instructor.

CS 493 Special Problems

4 Hours. No graduate credit for computer science majors. Special problems or reading by special arrangement with the faculty. Prerequisite: Consent of the instructor

500 level courses

CS 501 Advanced Algorithms

4 Hours. Same as MCS 501. Continuation of CS 401 (same as MCS 401). Advanced topics in algorithms. Lower bounds. Union-find problems. Fast Fourier transform. Complexity of arithmetic, polynomial, and matrix calculations. Approximation algorithms. Parallel algorithms. Prerequisite: CS 401

CS 502 Design and Analysis of Efficient Algorithms in Computational Biology

4 Hours. Sequence alignment, motifs, RNA structure and protein secondary structure from sequence, phylogeny reconstruction, haplotype problem, gene expression, biological networks, pedigree and kinship reconstruction. Prerequisite: CS 401

CS 503 Applied Graph Theory

4 Hours. Paths, circuits, trees, cutsets, planarity, duarity, matrices and vector space of graphs, directed graphs, coloring, covering, matching and applications to switching networks and computer science. Prerequisite: Consent of the instructor

CS 505 Automata Theory

4 Hours. Turing machines, undecidability, Rice’s theorem, recursively enumerable sets, complexity theory, hierarchy theorems, alternation, parallel complexity classes, complete problems. Prerequisite:CS 301

CS 511 Artificial Intelligence II

4 Hours. Predicate logic and resolution strategies, reasoning under uncertainty, incomplete information reasoning, state and change, planning, temporal reasoning knowledge representation, learning, advanced search techniques and current topics. Prerequisite:CS 411

CS 513 Logic Programming

4 Hours. Logic programming theory and its application to databases, knowledge representation and knowledge bases. Prerequisite:CS 480 or CS 411 or consent of the instructor

CS 514 Expert Systems

4 Hours. Anatomy of expert systems, types of expert systems, architecture of an expert system, expert system tools, building an expert system; expert systems in the marketplace. Prerequisite: CS 411

CS 515 Advanced Computer Vision

4 Hours. Analysis of 3-D scene images. Shape from shading, texture, line drawings, and surface orientation. Surface representation methods and reconstruction of 3-D scenes. Design of knowledge-based vision systems and 3-D applications in robotics and industrial environments. Prerequisite: CS 415

CS 521 Statistical Natural Language Processing

4 Hours. Statistical techniques for Natural Language Processing, including maximum likelihood estimation, Hidden Markov Models, and probabilistic grammars; and their applications, including parsing, semantic inference, dialogue processing and summarization. Prerequisite: CS 421; or consent of the instructor.

CS 522 Human-Computer Interaction

4 Hours. The computer-user interface: media, languages, interaction techniques, user modeling. Human factors in software development. Theory, experimental methods, evaluation, tools. Project required. Prerequisite: CS 422

CS 523 Multi-Media Systems

4 Hours. Principles of multi-media interface design for computer applications. Multi-disciplinary approaches to integrating text, still images, animation, and sound into human-computer interfaces. Prerequisite: CS 422 or consent of the instructor.

CS 524 Visualization and Visual Analytics II

4 Hours.<a target=”_blank” href=”″ title=”CS 524″>course website</a>.Current topics in scientific visualization, medical visualization, information visualization, volume rendering, isosurfaces. Project required. Prerequisite: CS 488 or CS 424 or consent of the instructor

CS 525 Graphics Processing Unit (GPU) Programming

4 Hours. course website. Graphics Processing Unit (GPU) Programming languages, vertex shaders, fragment shaders, general purpose computing on GPUs. Prerequisite: CS 488 or consent of the instructor.

CS 526 Computer Graphics II

4 Hours. course website. Same as AD 588. State of the art in computer graphics, visualization, and interactive techniques. Prerequisite:CS 488 or consent of the instructor.

CS 527 Computer Animation

4 Hours. course website. Theoretical and practical aspects of computer animation: keyframing, kinematics, simulation, and motion capture. Prerequisite: CS 488 or consent of the instructor.

CS 528 Virtual Reality

4 Hours. course website. Principles of virtual reality and virtual environments: hardware, software, input and control devices, design issues, quantitative assessment of user performance. Prerequisite:CS 488 or consent of the instructor.

CS 540 Advanced Topics in Software Engineering

4 Hours. Formal methods; requirements and specification languages; program flow analysis; validation and verification; software metrics; program representations; software tools; software testing; software process. Prerequisite: CS 440 or consent of the instructor

CS 541 Software Engineering Environments

4 Hours. Software configuration management; software quality assurance; software engineering economics; software factory; software reuse; computer-aided software engineering; software prototyping. Prerequisite: CS 540 or consent of the instructor

CS 542 Distributed Software Engineering

4 Hours. Fundamental concepts of distributed software. Task allocation algorithms, language concepts for concurrency and communication, analysis methods and tools, and formal models. Prerequisite: CS 440

CS 545 Formal Methods In Concurrent and Distributed Systems

4 Hours. Formal methods in concurrent and distributed systems, particularly temporal logic and automata for specifying and reasoning about security properties and real-time properties. Automated and manual techniques for checking correctness. Prerequisite: Consent of the instructor

CS 553 Distributed Computing Systems

4 Hours. Distributed computing systems terminology and design issues. Data communications protocols; distributed operating systems, resource management, and synchronization; security; database systems. Prerequisite: CS 366 and CS 385

CS 554 Concurrent Computing Systems

4 Hours. Petri nets, methods and their applications to concurrent, distributed, parallel, and data-flow systems; logic programming and rule-based systems. Prerequisite: Consent of the instructor

CS 559 Neural Networks

4 Hours. Artificial neural networks for parallel computing including perceptrons, backpropagation and Kohonen nets, statistical methods in neural computing, Hopfield nets, associative memories, cognition and neocognition. Prerequisite: Consent of the instructor

CS 565 Algorithms for VLSI Physical Design

4 Hours. Computer-aided physical design of integrated circuits; circuit partitioning and placement; floorplanning; global and detailed routing; timing optimization; general optimization tools: local search, constraint relaxation. Prerequisite: CS 401 andCS 466

CS 566 Parallel Processing

4 Hours. Parallel processing from the computer science perspective. Includes architecture (bus based, lockstep, SIMD), programming languages (functional, traditional and extensions), compilers, interconnection networks, and algorithms. Prerequisite: CS 466

CS 567 Principles of Computational Transportation Science

4 Hours. Builds on the fundamentals of transportation science and emphasizes its high-level computational aspects. Topics covered include database design and theory, spatial and temporal information systems issues and travel modeling. Same as CME 567 and UPP 567. Grade of B or better or concurrent registration in UPP 560. Open only to Ph.D. students; or consent of the instructor.

CS 569 High Performance Processors and Systems

4 Hours. Instruction-level parallelism, multiple-instruction issue, branch prediction, instruction and data prefetching, novel cache and DRAM organization, high-performance interconnect, compilation issues, case studies. Prerequisite: CS 466

CS 577 Object Stores

4 Hours. Use, design, and implementation of object stores. An object store enables object-oriented programming to be extended by storing objects on disk and communicating objects between processes. Prerequisite: CS 385, CS 480 and knowledge of C++, or consent of the instructor.

CS 580 Query Processing in Database Systems

4 Hours. Same as IDS 511. Query processing in deductive databases and in distributed/parallel databases systems. Prerequisite:CS 480

CS 581 Database Management Systems

4 Hours. Concurrency control; reliability, recovery, data integrity, database machines and current topics. Prerequisite: CS 480

CS 582 Information Retrieval

4 Hours. Document retrieval, office automation. Optimal retrieval, relevance feedback, clustered search, construction of clusters, model of term weighting, thesaurus construction, multimedia data, handling of audio and video. Prerequisite: CS 480

CS 583 Data Mining and Text Mining

4 Hours. Provide students with a sound knowledge in data and text mining tasks and techniques, as well as, ensure students ability to use this technology. Prerequisite: CS 401. Recommended background: Algorithm Probability.

CS 586 Data and Web Semantics

4 Hours. Data modeling and semantics; knowledge representation, querying, and reasoning for the semantic web; metadata; data integration and interoperation; web services; applications. Extensive computer use required. Prerequisite: CS 480

CS 587 Computer Systems Security

4 Hours. Security of computer systems, including security definitions, models, and properties; structure of computer systems and its interaction with computer security; authentication; errant programs; access control models; and covert channels. Prerequisite: Consent of the instructor.

CS 588 Security and Privacy in Networked and Distributed Systems

4 Hours. Security and privacy in networked and distributed systems including applied cryptography; network security protocols for authentication, confidentiality and integrity; distributed denial of service attacks and defenses; distributed authentication architectures; and privacy and anonymity. Prerequisite: Consent of the instructor

CS 594 Special Topics

4 Hours. May be repeated for credit. Students may register for more than one section per term. Subject matter varies from term to term and section to section, depending on the specialties of the instructor. Prerequisite: Consent of the instructor

CS 595 Departmental Seminar

0 Hours. May be repeated. S/U grade only. Seminar by faculty and invited speakers. Prerequisite: NONE

CS 596 Individual Study

4 Hours. S/U grade only. May be repeated for credit. Students may register for more than one section per term. Individual study or research under close supervision of a faculty member. For CS majors only. Prerequisite: Consent of the instructor

CS 597 Project Research

9 Hours. S/U grade only. Students may register for more than one section per term. For CS majors only. A research design or reading project approved by the committee appointed by the director of graduate studies. Prerequisite: Consent of the instructor

CS 598 M.S. Thesis Research

16 Hours. S/U grade only. May be repeated for credit. Students may register for more than one section per term. For CS majors only. MS thesis work under the supervision of a graduate advisor. Prerequisite: Consent of the instructor

CS 599 Ph.D. Thesis Research

16 Hours. S/U grade only. May be repeated for credit. Students may register for more than one section per term. For CS majors only.PhD thesis work under supervision of a graduate advisor. Prerequisite: Consent of the instructor

IT courses

IT 101 Java Programming for Information Technology

3 Hours. Elementary data types, arithmetic & logical operations, control structures & error handling, methods & functions, introduction to object-oriented programming design & implementation. Emphasis is placed on the development of problem-solving skills. Prerequisite: NONE

IT 201 Introduction to Computer Configuration and Operating System Software

3 Hours. Introduction to concepts of computer configuration, and OSS. Comparisons of commercially available CPU families, peripherals, system performance and evaluation. Discussions of technological developments and commercially available systems. Prerequisite: NONE

IT 202 Web and Multimedia Programming

3 Hours. Introduction to internet, multimedia concepts, protocols, and tools. HTML document markup language. Web site design. Script programming for interactive web pages. Creating, editing images, video, and audio for internet use. Programming exercises. Prerequisite: NONE

IT 301 Networks and Distributed Computing

3 Hours. Introduction to the use of computers on a network. Installation and configuring of networking components: Firewalls, nameserver and gateways. Use of both wired and wireless networks. Prerequisite: NONE

IT 302 Database Administration and Installation

3 Hours. A study of the use of existing databases (bibliographic and non-bibliographic formats), their data structure, processing and retrieval data, integrity and security, and interface design issues. Prerequisite: NONE