Courses in Computer Science (Division 353)

181/EECS 181. Introduction to Computer Systems. No credit granted to those who have completed CS 280 or 283 or Engr. 103. (4). (NS).

Introduces students to computers. Focuses on software, hardware, and social impact of computers. Elementary programming concepts, software packages and applications, word processing, data communications, information management, input-output, data entry, computer hardware components and storage devices, microcomputers, and ethics in computing. Programming assignments using a personal computer. Term paper required. A student cannot receive credit for both EECS 181 and Eng. 103.

280(270)/EECS 280. Computer Science I. Math. 115 or equivalent. Credit is granted for only one course from among CS 280 and 283. (4). (NS).

Elements of a high-level programming language. Techniques of algorithm development and effective programming, with emphasis on top-down analysis, structured programming, analysis of algorithms, debugging and program verification. Study of algorithms for symbol manipulation and for numerical computation. Students will write several programs in a high-level program.

283(274)/EECS 283. Elementary Programming Concepts. Math. 105 or the equivalent. Credit is granted for only one course from among CS 280 and 283. (4). (NS).

Introduction to a high level programming language, top-down analysis, and structured programming. Basic searching and sorting techniques. No previous experience in computer or programming is assumed. Students will write and debug several computer programs. Not intended for computer science or computer engineering majors.

380(370)/EECS 380. Computer Science II. CS 280. (4). (NS).

Study of abstract data types and implementations: lists, stacks, queues, arrays, strings, sets, trees, graphs, and files. Related topics include searching, sorting, and dynamic memory management. A high-level language is used for programming.

381(271)/EECS 381. Assembly Language Programming. CS 280 or CS 283. (3). (NS).

Machine structure and organization, data representation, memory addressing methods, use of registers, bit manipulation, integer and floating point arithmetic, program linking and subroutines, macro-instructions, program debugging, assemblers and loaders. Students write several programs in IBM 370 Assembler language. Three one-hour lectures and a one-hour discussion per week.

383(374)/EECS 383. Programming and Computer Systems. CS 283 or the equivalent. (4). (NS).

Advanced topics in Pascal, including the implementation of linked lists, trees, and hashing. Searching and sorting techniques. Assembly language and computer architecture. Selected topics in programming language theory. Students will write several programs in Pascal and assembly language.

476(400)/EECS 476. Foundations of Computer Science. CS 303 or Math. 312 or permission of instructor. (3). (NS).

An introduction to computation theory: finite automata, regular languages, pushdown automata, context-free languages, Turing machines, recursive languages and functions, and computational complexity.

480(476)/EECS 480. Data Structures. CS 380 or 383 and 476 or the equivalent. (4). (NS).

Data structuring principles of use in a wide variety of problem solving areas are covered. Alternatives are considered with respect to utilization of storage and time.

481(478)/EECS 481. Software Engineering. CS 380 or 480, and senior standing. (4). (NS).

Pragmatic aspects of the production of software systems, dealing with structuring principles, design methodologies and informal analysis. Emphasis is given to development of large, complex software systems. A term project in usually required.

482(473)/EECS 482. Operating Systems. CS 380 and 381, or equivalent. (4). (Excl).

Operating system functions and implementations: multitasking; concurrency and synchronization; deadlock; scheduling; resource allocation; real and virtual memory management; input/output; file systems. Students write several substantial programs dealing with concurrency and synchronization in a multitask environment.

483/EECS 483. Compiler Construction. CS 380 or 480. (4). (Excl).

Introduction to compiling techniques including parsing algorithms, semantic processing, and optimization. Students implement a compiler for a substantial programming language using a compiler generating system. Honor students may take either 483 or 583, but not both.

485(472)/EECS 485. Principles of Programming Languages. CS 380 or 480, and CS 303 or Math 312. (4). (NS).

Principle of programming languages including ALGOL-like program verification and semantics.

492/EECS 492. Artificial Intelligence for Undergraduates. CS 480 or permission of instructor. (3). (NS).

Basic artificial intelligence methods using LISP. Topics covered include search, rule-based systems, logic, constraint satisfaction, and knowledge representation.

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