| Subject | Number | Title | Hours | Catalog Description | General Education Category |
| CS | 100 | Discovering Computer Science | 3 hours. | Fundamentals of computing; history of computation; computer organization; program design, testing and debugging; web design; computer animation; software tools; societal and legal issues in computing. Credit is not given for CS 100 if the student has credit in either CS 101 or MCS 260. No graduation credit for students enrolled in a major offered by the Departments of Computer Science or Electrical and Computer Engineering. Extensive computer use required. | Natural World - No Lab course. |
| CS | 107 | Introduction to Computing and Programming | 4 hours. | Access and use of computing resources. Programming and program design. Problem solving. Data types, control structures, modularity, information hiding. Credit is not given for CS 107 if the student has credit for CS 102. Previously listed as EECS 171. Prerequisite(s): Credit or concurrent registration in MATH 180. | |
| CS | 108 | Fortran Programming for Engineers with MatLab | 3 hours. | Program design using Fortran: data types and operators, control structures, subprograms, file I/O, common storage. Engineering applications: matrices, equation solutions, MetLab environment. Programming assignments. Extensive computer use required. Prerequisite(s): 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(s): Credit or concurrent registration in MATH 180. | |
| CS | 111 | Program Design I | 3 hours. | Introduction to programming: control structures; variables and data types; problem decomposition and procedural programming; input and output; aggregate data structures including arrays; programming exercises. 3 hours. Previously listed as CS 101. Extensive computer use required. | |
| CS | 141 | Program Design II | 3 hours. | Data abstraction and modular design; recursion; lists and stacks; dynamic memory allocation; file manipulation; programming exercises. 3 hours. Previously listed as CS 102. Extensive computer use required. Credit is not given for CS 141 if the student has credit for CS 102 or CS 107. Prerequisite(s): CS 111 and credit or concurrent registration in MATH 180. | |
| CS | 151 | Mathematical Foundations of Computing | 3 hours. | Discrete mathematics concepts fundamental to computing: propositional logic, predicates and quantifiers; proofs; sets; recursive definitions and induction; functions, relations and graphs; combinatorics and discrete probability; applications. 3 hours. Credit is not given for CS 151 if the student has credit in MCS 361. Prerequisite(s): MATH 180; and Grade of C or better in CS 111. | |
| CS | 201 | Data Structures and Discrete Mathematics I | 4 hours. | Lists, stacks, queues, sets, hash tables, introduction to trees and graphs. Algorithm correctness and complexity, inductive proofs, logic. Programming projects. Previously listed as EECS 260. Credit is not given for CS 201 if the student has credit for MCS 261. Prerequisite(s): MATH 180; and grade of C or better in CS 102 or grade of C or better in CS 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. Previously listed as EECS 360. Prerequisite(s): Grade of C or better in CS 201. | |
| CS | 211 | Programming Practicum | 2 hours. | Software development tools and practices; debugging and testing; advanced language features; standard libraries; code management. 2 hours. Extensive computer use required. Prerequisite(s): Grade of C or better in CS 141. | |
| CS | 251 | Data Structures | 4 hours. | Design, usage and analysis of data structures: review of lists, stacks and queues; hash tables, priority queues, search trees, introduction to graphs; searching and sorting; runtime analysis; programming projects and lab exercises. 4 hours. Credit is not given for CS 251 if the student has credit in CS 202. Prerequisite (s): CS 151and credit or concurrent registration in CS 211. To be properly registered, students must enroll in one Lecture-Discussion and one Laboratory. | |
| CS | 261 | Machine Organization | 3 hours. | Data representation and computer arithmetic; machine language; addressing; memory hierarchy; subroutines; data structures; processor architecture: hardwdare components, pipelining. 3 hours. Credit is not given for CS 261 if the student has credit for CS 366 or ECE 267 or ECE 366. Extensive computer use required. Prerequisite(s): Credit or concurrent registration in CS 211. | |
| CS | 266 | Computer Architecture I: Logic and Computer Structures | 4 hours. | 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. Credit is not given for CS 266 if the student has credit in any of the following: EECS 265 or EECS 365 or EECS 366 or ECE 265 or ECE 267 or ECE 366. Prerequisite(s): CS 102. | |
| 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. Previously listed as EECS 361. Prerequisite(s): Grade of C or better in CS 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. Previously listed as EECS 375. Prerequisite(s): 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. Previously listed as EECS 370. Prerequisite(s): CS 202. | |
| CS | 341 | Programming Language Design and Implementation | 3 hours. | Programming language paradigms, design and implementation: syntax and semantics; parsing; runtime systems; control; data types; subroutines and exceptions; data and procedural abstraction; functional programming. Extensive computer use required. | |
| CS | 342 | Software Design | 3 hours. | Software design principles and practices: Object-oriented design; design patterns; software reuse; testing; event driven programming and concurrency; graphical user interface design and development; Team development. Extensive computer use required. Credit is not given for CS 342 if the student has credit for CS 340. Prerequisite(s): CS 251. | |
| CS | 361 | Computer Systems | 3 hours. | Study of computer systems emphasizing impact on application level programming. Virtual memory and memory management; code optimization; system-level I/O; concurrency: processes, threads, synchronization; introduction to network programming. 3 hours. Extensive computer use required. Credit Restrictions: Credit is not given for CS 361 if the student has credit for CS 366 or ECE 366. Prerequisite(s): CS 251 and CS 261. | |
| CS | 362 | Computer Design | 3 hours. | Computer hardware building blocks. logic gates; combinational circuits; arithmetic circuits; flip flops and sequential circuits; registers and memory; CPU design; I/O design. 3 hours. Extensive computer use required. Credit is not given for CS 362 if the student has credit in CS 266 or ECE 265. Prerequisite(s): CS 261. | |
| CS | 366 | Computer Architecture II: Hardware-Software Interface | 4 hours. | 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. Credit is not given for CS 366 if the student has credit for any of the following: EECS 265 or EECS 365 or EECS 366 or ECE 265 or ECE 267 or ECE 366. Prerequisite(s): 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(s): ENGL 161 and CS 102. | |
| CS | 377 | Communication and Ethical Issues in Computing | 3 hours. | Communication skills for computing professionals: presentation organization, visual aides, delivery techniques, argument support. Ethical and societal issues in computing: privacy, intellectual property and ownership, crime. 3 hours. Extensive computer use required. Credit is not given for CS 377 if the student has credit in CS 335 or CS 376. Prerequisite(s): CS 251. | |
| CS | 385 | Operating Systems Concepts and Design | 3 hours. | Principles of operating systems. Effective management of machine resources: resource allocation and scheduling, mutual exclusion, deadlock avoidance, memory management policies, devices and file systems, client-server systems, virtualization. Previously listed as EECS 371. Extensive computer use required. Prerequisite(s): CS 361; or CS 201 and ECE 267. | |
| CS | 398 | Undergraduate Design/Research | 3 hours. | Design and/or research experience for undergraduate Computer Science majors under close supervision of a CS faculty member. Previously listed as EECS 398. Prerequisite(s): Consent of the instructor. | |
| CS | 401 | Computer Algorithms I | 3 OR 4 hours. | 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. Same as MCS 401. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in MCS 360; or Grade of C or better in CS 202. | |
| CS | 411 | Artificial Intelligence I | 3 OR 4 hours. | Problem representation; rule-based problem-solving methods; heuristic search techniques. Application to expert systems, theorem proving, language understanding. Individual projects. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 484. Prerequisite(s): CS 202. | |
| CS | 415 | Computer Vision I | 3 OR 4 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. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 487. Prerequisite(s): CS 202 or MCS 360; or consent of the instructor. | |
| CS | 421 | Natural Language Processing | 3 OR 4 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. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): CS 301 or MCS 441. | |
| CS | 422 | User Interface Design and Programming | 3 OR 4 hours. | User interface design, implementation, and evaluation: user-centered design methodologies, windowing systems, I/O devices and techniques, event-loop programming, user studies. Programming projects. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 478. Prerequisite(s): CS 340. | |
| CS | 424 | Visualization and Visual Analytics | 3 OR 4 hours. | Geospatial visualization, scientific visualization, medical visualization, information visualization, and social network visualization, interaction, data analysis, human factors, dynamic data, privacy, uncertainty, data transforms. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s): CS 201 or graduate standing; or consent of the instructor. | |
| CS | 426 | Video Game Design and Development | 3 OR 4 hours. | Theory and practice of video game design and programming. Students will form interdisciplinary teams, to design, build and demonstrate video games or related interactive simulation environments. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): CS 107 and CS 201 and CS 488; or consent of the instructor. | |
| CS | 440 | Software Engineering I | 3 OR 4 hours. | Software life-cycle model, requirement specification techniques, large-scale software design techniques and tools, implementation issues, testing and debugging techniques, software maintenance. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 470. Prerequisite(s): CS 340. | |
| CS | 441 | Distributed Object Programming Using Middleware | 3 OR 4 hours. | Design and implementation of distributed object programs using middleware software standards; interface definition languages and programming language mappings; static and dynamic object communication mechanisms. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s): CS 340 and CS 385. | |
| CS | 442 | Software Engineering II | 3 OR 4 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(s): CS 440. | |
| CS | 450 | Introduction to Networking | 3 OR 4 hours. | Network protocols, algorithms, and software issues. Topics include the Open Systems Interconnect model, data link, network and transport layers, TCP/IP, ATM, mobile networks. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 433. Credit is not given for CS 450 if the student has credit for ECE 433. Prerequisite(s): CS 202 and CS 385; and STAT 381 or STAT 401 or IE 342. | |
| CS | 455 | Design and Implementation of Network Protocols | 3 OR 4 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. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): CS 340 and CS 450. | |
| CS | 466 | Advanced Computer Architecture | 3 OR 4 hours. | Design and analysis of high performance uniprocessors. Topics include arithmetic: multiplication, division, shifting; processor: pipelining, multiple function units. instruction sets; memory: caches, modules; virtual machines. Same as ECE 466. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): ECE 366 or CS 366. | |
| CS | 469 | Computer Systems Design | 3 OR 4 hours. | Analysis and modeling of digital systems; hardware description languages; CAD tools for simulation, synthesis, and verification of computer systems. Project: a simple processor design. 3 undergraduate hours. 4 graduate hours. Same as ECE 469. Prerequisite(s): CS 366; or ECE 366 and ECE 368. | |
| CS | 473 | Compiler Design | 3 OR 4 hours. | Language translation: lexical analysis, parsing schemes, symbol table management, syntax and semantic error detection, and code generation. Development of fully-functional compiler. Same as MCS 411. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in CS 301 or grade of C or better in MCS 441; and grade of C or better in CS 202 or grade of C or better in MCS 360; and grade of C or better in CS 266. | |
| CS | 474 | Object-Oriented Languages and Environments | 3 OR 4 hours. | Data abstraction, classes and objects, messages and methods, polymorphism and dynamic binding, inheritance. Object-oriented design. Pure and hybrid object-oriented languages. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 474. Prerequisite(s): CS 340. | |
| CS | 475 | Object-Oriented Programming | 3 OR 4 hours. | OO Paradigm: classes, messages, methods, variables, inheritance, polymorphism; the C++ and Java languages; programming labs required. 3 undergraduate hours. 4 graduate hours. Credit is not given for CS 475 if the student has credit for CS 340 or CS 474. Extensive computer use required. Prerequisite(s): CS 202; and consent of the instructor. | |
| CS | 476 | Programming Language Design | 3 OR 4 hours. | 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. Same as MCS 415. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 476. Prerequisite(s): MCS 360 or CS 340. | |
| CS | 480 | Database Systems | 3 OR 4 hours. | Database design, logical design, physical design. Relational databases. Recovery, concurrency control. Normalization. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 480. Prerequisite(s): CS 202. | |
| CS | 485 | Networked Operating Systems Programming | 4 OR 5 hours. | Concepts, design, and programming of multi-process and distributed systems; inter-process communications; fault tolerance; distributed programming semantics. Programming assignments and project required. 4 undergraduate hours. 5 graduate hours. Previously listed as EECS 471. Prerequisite(s): CS 385. | |
| CS | 487 | Building Secure Computer Systems | 3 OR 4 hours. | Building and programming secure systems; protecting systems from threats and reduction of vulnerabilities; Includes application, host and network security. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s): Grade of C or better in CS 385; and senior standing or above; or consent of the instructor. | |
| CS | 488 | Computer Graphics I | 0 TO 4 hours. | Principles of interactive computer graphics. Raster and vector display, techniques and hardware considerations. Introduction to two-dimensional and three dimensional rendering. Laboratory. Same as AD 488. 3 undergraduate hours. 4 graduate hours. Previously listed as EECS 488. Prerequisite(s): Credit or concurrent registration in CS 340. | |
| CS | 491 | Seminar | 1 TO 4 hours. | Topics of mutual interest to a faculty member and a group of students. Offered as announced by department bulletin or the Timetable. May be repeated. Previously listed as EECS 491. Prerequisite(s): Consent of the instructor. | |
| CS | 493 | Special Problems | 2 TO 4 hours. | Special problems or reading by special arrangement with the faculty. Previously listed as EECS 493. No graduate credit for Computer Science majors. Prerequisite(s): Consent of the instructor. | |
| CS | 499 | Professional Development Seminar | 0 hours. | Graduating seniors will be provided with information regarding future career paths and will provide information regarding the program to be used for assessment purposes. Students take the CS Major Field Exam as part of this course. Satisfactory/Unsatisfactory grading only. Prerequisite(s): Open only to seniors; and approval of the department. Must be taken in the student's last semester of study. |