Course List
Computer Science (CSCI)
- Computer Science (CSCI)
- Computer Science (CSCI) --- Graduate Courses
- Computer Science (CSCI) --- In-Service Courses
- University catalog course list
Undergraduate Courses
CSCI 1. Critical Thinking and Computer Science (3)
Prerequisite: intermediate algebra. Overview of the field of computer science with an emphasis on critical thinking skills. Problem-solving strategies, algorithm design, and data abstraction. Introduction to hardware, theoretical limitations of computers, and issues arising from the growing role of computers in society. G.E. Foundation A3.
CSCI 5. Computer and Applications (3)
An introduction to the computer: tools, applications, and graphics. Overview of the components of computer systems; discussion on software systems, electronic mail, influence of computers on society and the future of computing; extensive hands-on experience with application tools and programming. PC (Windows) environment. CR/NC grading only. (2 lecture, 2 lab hours)
CSCI 7. Computer Literacy (3)
Overview of the history of computing: a presentation of the components of computer hardware and software systems as well as a study of applications, programming, societal impact, and the future of computing. (2 lecture, 2 lab hours)
CSCI 15. C and C++ Programming (2)
Prerequisite: programming experience in a major high-level language, e.g., BASIC, COBOL, FORTRAN, Pascal. An introduction to the C and C++ programming languages. Types, operators, expressions, flow of control, functions, pointers, and arrays. Standard libraries and programming tools. Emphasis on programming projects.
CSCI 30. Introduction to the Internet (3)
Topics include e-mail, Web browsers, searching, evaluation of Web resources, HTML, Web-page design, encryption, and basic network communication. Special emphasis is placed on the underlying technologies. (2 lecture [1 traditional, 1 online], 2 lab hours)
CSCI 40. Introduction to Programming and Problem Solving (4)
Prerequisites: Students must take the ELM exam; students who do not pass the exam must record a grade of C or better in a college-taught intermediate algebra course; trigonometry. Introduction to problem solving, algorithm development, procedural and data abstraction; program design, coding, debugging, testing, and documentation; a high-level programming language. (3 lecture, 2 lab hours)
CSCI 41. Introduction to Data Structures (4)
Prerequisite: CSCI 40. Programming methodology, program correctness. Review of data types. Data structures: linear and nonlinear structures, files. Implementation of data structures. Recursion. Searching and sorting. (3 lecture, 2 lab hours)
CSCI 60. Foundations of Computer Science (4)
Prerequisites: CSCI 40 (may be taken concurrently.) Abstraction, iteration, induction, recursion, complexity of programs, data models, and logic. (3 lecture, 2 lab hours)
CSCI 101. Computational Foundations for Bioinformatics (3)
Prerequisite: C SCI 1, BIOSC 140A. Computational approaches to problems in molecular biology; Algorithms, heuristics, strings, and graphs. Sequence comparison and multiple alignment. Selected topics such as scripting, visual programming, laboratory workflow, databases, and queries. (2 lecture, 2 lab hours)
CSCI 105T. Workshop on Computer Languages (1-3; max total 6)
Prerequisite: CSCI 40 or permission of instructor. Workshops in the use of various high-level programming languages or other selected languages in areas of database, statistical computation, or operating systems.
CSCI 112. Introduction to Computer Systems (4)
Prerequisite: CSCI 41, 60. Computer arithmetic. Von Neumann architecture. Instruction sets, data types, formats, addressing. Register and ALU organization. Memory hierarchy. I/O. Bus organization. Study of one or more assembly languages. Basics of implementation of higher-level languages. (3 lecture, 2 lab hours)
CSCI 113. Introduction to Computer Organization (4)
Prerequisite: CSCI 41. Fundamental issues of computer design at register-transfer level. Logical design of basic combinational and sequential modules. Organization and design of major functional blocks: ALU, CPU, memory, cache, input/output, hard-wired and microprogrammed control. Simulation of computer organization. Introduction to high-performance superscalar computer organization. (3 lecture, 2 lab hours)
CSCI 115. Algorithms and Data Structures (4)
Prerequisites: CSCI 41, 60; MATH 75. Review of basic data structures. Graph, search paths, and spanning trees. Algorithm design and analysis of sorting, merging, and searching. Memory management, hashing, dynamic storage allocation. Integration of data structures into system design. (3 lecture, 2 lab hours)
CSCI 117. Structures of Programming Languages (4)
Prerequisites: CSCI 41, 60, and CSCI 119. General concepts and paradigms of programming languages; scope and binding rules, applications and implementations of language concepts. Languages selected from: ADA, ICON, Miranda, ML, MODULA 2, OCCAM 2, PROLOG, LISP, Scheme, SmallTalk. (3 lecture, 2 lab hours)
CSCI 119. Introduction to Finite Automata (4)
Prerequisites: CSCI 41, 60. Strings, languages, and fundamental proof techniques. Regular expression, regular grammar, regular languages, finite automata, their interrelationship, and their properties. Introduction to context-free languages. (3 lecture, 2 lab hours)
CSCI 124. Introduction to File Processing (3)
Prerequisite: CSCI 115. Definition of file components, access methods, and file operations. Algorithms for efficient implementation of data structures; characteristics of bulk storage media for mainframe and microcomputers. Introduction to database management systems.
CSCI 126. Database Systems (3)
Prerequisite: CSCI 124. Database concepts; hierarchical and relational network models; object-oriented data models. Data normalization, data description languages, data manipulation languages, and query design.
CSCI 130. Web Programming (3)
Prerequisite: CSCI 115. Programming for the World Wide Web. Web servers and clients, Internet and Web protocols, and mark-up languages. Client-side scripting, including both gateway and filter-based approaches. (2 lecture, 3 lab hours) (Formerly CSCI 191T)
CSCI 134. Compiler Design (3)
Prerequisites: CSCI 112, 115, 119. Syntax and semantics of programming languages. Lexical analysis, parsing techniques, parser generator, SLR and LALR parsing. Introduction to symbol table organization and semantic routines. Compiler generators.
CSCI 144. Introduction to Operating Systems (4)
Prerequisites: CSCI 41 and CSCI 112 or ECE 118. Operating system history and services. File systems. Memory management. Process management -- concurrent processes, communication, semaphores, monitors, deadlocks. Resource management -- processor and disk scheduling. Security and protection mechanisms. (3 lecture, 2 lab hours)
CSCI 146. Systems Architecture (3)
Prerequisites: CSCI 113, 144. An in-depth analysis of one or more operating systems -- system data structures, hardware architecture, shell and kernel functions, I/O routines, interrupt handling. Other topics may include parallel hardware architectures, performance analysis.
CSCI 148. Systems Programming (3)
Prerequisites: CSCI 113, 144. Topics include implementation of operating system components and modification of existing systems. Device drivers, memory management, communication networks, and file systems will be examined. Projects will be emphasized.
CSCI 150. Introduction to Software Engineering (3)
Prerequisite: CSCI 41. History, goals, and motivation of software engineering. Study and use of software engineering methods. Requirements, specification, design, implementation, testing, verification, and maintenance of large software systems. Team programming. (2 lecture, 3 lab hours)
CSCI 152. Software Engineering (3)
Prerequisite: CSCI 150. In-depth examination of techniques for specification, design, implementation, testing, and verification of software. Human-computer interfaces. Formal methods of software development. Use of software engineering tools for the development of substantial software projects. (3 lecture, 3 lab hours)
CSCI 154. Simulation (3)
Prerequisites: CSCI 41, 60; MATH 75. Simulation as a tool for the study of complex systems in computer science, statistics and operations research. Generating random variables. Review of principles behind and examples of simulation languages.
CSCI 156. Internetworking Systems and Protocols (3)
Prerequisite: CSCI 144 or permission of instructor. Review of underlying network technologies. Application-level interconnections, network architectures, addressing, mapping abstract addresses to physical addresses, routing datagrams, error and control messages, protocol layering, gateways, subnets. Client-server interactions. Upper layers of protocol stacks. (2 lecture, 3 lab hours)
CSCI 164. Artificial Intelligence Programming (3)
Prerequisite: CSCI 117. Introduction to problem-solving methods from artificial intelligence. Production systems. Knowledge-based systems. Machine learning. Topics chosen from fuzzy logic, neural network models, genetic algorithms. Verification, validation, testing.
CSCI 166. Principles of Artificial Intelligence (3)
Prerequisite: CSCI 164. Analysis of knowledge-based and neural models, including self-organization, sequential learning models, neurally inspired models of reasoning and perception. Integration of different paradigms.
CSCI 172. Computer Graphics (4)
Prerequisites: MATH 76, CSCI 41, and (CSCI 112 or ECE 118). Hardware devices, raster graphics, device in dependence, graphic data structure and representations, interactive techniques, and algorithms for the display of two- and three-dimensional objects, graphic transformations, graphics standards, modeling, animation, VRML and scientific visualization. (3 lecture, 2 lab hours)
CSCI 173. Advanced Computer Graphics (4)
Prerequisite: CSCI 172. Visible surface algorithms, lighting and shading, textures, curves and surfaces, computer-aided design, advanced modeling techniques, solid modeling, advanced raster graphics architecture, advanced geometric and raster algorithms, user interface, ray tracing, animation techniques, and fractals. (3 lecture, 3 lab hours)
CSCI 174. Design and Analysis of Algorithms (3)
Prerequisites: CSCI 115, 119. Models of computation and measures of complexity, algorithms for sorting and searching, set representation and manipulation, branch and bound, integer and polynomial arithmetic, pattern-matching algorithms, parsing algorithms, graph algorithms, NP-complete problems.
CSCI 176. Parallel Processing (3)
Prerequisites: CSCI 113, 144. Characteristics, and classification of computer systems. Notion and realization of parallelism. Pipeline design techniques. Vector processing. Array processing. Multiprocessing. Multiprocessing vs. multicomputers. Shared memory vs. message-passing, problem solving, and parallel programming. Architectural trends.
CSCI 177. Distributed Computer Systems (3)
Prerequisites: CSCI 113, 144. Characteristics and design of distributed systems. Application and network interconnectivity. Enterprise computing. Distributed data and transaction management. Distributed operating systems. Distributed problem solving and programming.
CSCI 186. Formal Languages and Automata (3)
Prerequisite: CSCI 119. Introduction to formal language theory. Context-free grammars, context-sensitive grammars, unrestricted grammars; properties of context-free languages, push-down automata.
CSCI 188. Introduction to Computability (3)
Prerequisite: CSCI 119. Introduction to computability and complexity. Turing machines, recursive functions, reduction, undecidability, classes P and NP, and intractable problems.
CSCI 190. Independent Study (1-3; max total 6)
See Academic Placement -- Independent Study. Approved for RP grading.
CSCI 191T. Proseminar (1-3; max total 15)
Prerequisite: permission of instructor. Presentation of selected topics in computer science.
CSCI 194. Cooperative Education (1-4; max total 8)
Prerequisites: courses appropriate to the work experience; approval by major department cooperative education coordinator. Integration of work experience with academic program, individually planned through coordinator. CR/NC grading only.
CSCI 198. Project (3)
Prerequisite: senior sta nding in computer science or permission of instructor and approved subject. See Criteria for Thesis and Project. Study of a problem under the supervision of a faculty member. Presentation by the student in a seminar setting and a final report are required. Satisfies the senior major requirement for the B.S. in Computer Science. Approved for RP grading.
GRADUATE COURSES
(See Catalog Numbering System.)
Computer Science (CSCI)
CSCI 200. Introduction to Research in Computer Science (1)
Prerequisite: classified standing in computer science. Orientation to the graduate program, introduction to research methodology, and discussion of possible project and thesis topics.
CSCI 213. Computer Organization (3)
Prerequisites: CSCI 112 and 113 or permission of instructor. Organization of memory, I/O, and processors. Computer busses. Microprogramming and instruction execution. Interrupts. Data communications.
CSCI 217. Programming Language Principles (3)
Prerequisite: CSCI 117 or permission of instructor. Advanced topics in programming languages: concurrency, exceptions, types, procedures, execution models. Introduction to the formal specification of programming languages: syntax specification, semantic specification.
CSCI 226. Advanced Database Systems (3)
Prerequisites: CSCI 126 and 144. Implementation of database systems on modern hardware systems. Operating system design issues, including buffering, page size, prefetching, etc. Query processing algorithms; design of crash recovery and concurrency control systems. Implementation of distributed databases and database machines.
CSCI 230. Advanced Web Application Development (3)
Prerequisite: CSCI 130 or permission of instructor. Application development for the World Wide Web. Three-tier architecture; authentication, capability, and session management; versioning and open-source development. Case studies and project work. (Formerly CSCI 291T)
CSCI 244. Operating Systems (3)
Prerequisite: CSCI 144. Operating system functions. Performance monitoring and fine-tuning. Network operating system design. Concurrency, analysis of deadlock. Selected topics from current research.
CSCI 246. Parallel Computer Systems (3)
Prerequisite: CSCI 144. Examination and comparison of RISC and CISC architectures. Parallel processors, multiprocessors, dataflow machines. Database machines. Selected topics from current research.
CSCI 250. Advanced Software Engineering (3)
Prerequisite: CSCI 150 or permission of instructor. Theoretical and practical aspects of software engineering emphasizing requirements analysis, specification, design, coding, testing, correctness, maintenance, and management. Examination of reliability, performance, and software metrics.
CSCI 252. Software Development Environments (3)
Prerequisite: CSCI 150. Overview of modern software engineering environments including structured editors, programmer's assistants, and tools for software cost estimation, testing, scheduling, specification, and verification. Relationship between artificial intelligence and software engineering.
CSCI 253. Human-Computer Interaction (3)
Software engineering approach to human-computer interaction. Design, evaluation, and implementation of user interfaces and experiences. Modeling, prototyping, inspection, and usability testing. Relationship of user interface characteristics to attention, errors, and efficiency. (Formerly CSCI 291T).
CSCI 272. Computer Graphics (3)
Prerequisite: CSCI 172 or permission of instructor. 3-D transformations, visible surface algorithms, shading, textures, curves and surfaces, computer-aided design, advanced modeling techniques, solid modeling, advanced raster graphics architecture, advanced geometric and raster algorithms, user interface, ray tracing, animation techniques, and fractals.
CSCI 274. Combinatorial Algorithms (3)
Prerequisite: CSCI 174. Design and analysis of efficient algorithms for combinatorial problems. Network flow theory, matching theory, augmenting-path algorithms, branch-and-bound algorithms, data structure techniques for efficient implementation of combinatorial algorithms, analysis of data structures, application of data structural techniques to sorting, searching, and geometric problems.
CSCI 282. Theory of Computation (3)
Prerequisite: CSCI 188 or permission of instructor. General models of computation, recursive functions, undecidable problems, propositional calculus, predicate calculus, complexity classes, NP-complete problems.
CSCI 284. Automata Theory (3)
Prerequisite: CSCI 186 or permission of instructor. Formal languages, abstract machines, algebraic approach to automata, term rewriting systems, formal power series, cryptography, parallel computation.
CSCI 290. Independent Study (1-3; max total 6)
Prerequisite: approval of department. See Academic Placement -- Independent Study. Approved for RP grading.
CSCI 291T. Seminar (1-3; max total 9)
Prerequisite: approval of instructor. Special topics in computer science of current interest and importance.
CSCI 298. Research Project (3)
Prerequisite: advancement to candidacy. See Criteria for Thesis and Project. Independent investigation of an advanced topic as the culminating requirement for the master's degree. Approved for RP grading.
CSCI 299. Master's Thesis (3-6; max total 6)
Prerequisite: advancement to candidacy. See Criteria for Thesis and Project. Preparation, completion, and submission of an acceptable thesis for the master's degree. Approved for RP grading.
IN-SERVICE COURSE
(See Catalog Numbering System.)
Computer Science (CSCI)
CSCI 391T. Topics in Computer Science
(1-6; repeatable for credit with different topics)