Professors: Maurice F. Aburdene, Gary Haggard, Xiannong Meng

Associate Professors: Stephen M. Guattery (Chair), Daniel C. Hyde, Luiz Felipe Perrone, Lea Wittie, Richard J. Zaccone

Assistant Professors: Brian R. King, Anastasia Kurdia (visiting), Alan Marchiori, Benoit Razet, Abhishek Verma (visiting)

Students who wish to major in computer science may enroll in the Bachelor of Science in computer science and engineering curriculum, the Bachelor of Science curriculum, or the Bachelor of Arts curriculum. The department also offers a Bachelor of Science in computer engineering jointly with the electrical engineering department.

The minor in computer science requires five computer science courses. If a student's first computer science course is CSCI 203, then the four additional courses are CSCI 204, CSCI 206, and two additional courses chosen from CSCI 205; CSCI 208 and the 300- and 400-level computer science courses. If a student's first computer science course is CSCI 180, CSCI 185, or CSCI 202, then the four additional courses are CSCI 203, CSCI 204, CSCI 206, and one additional course chosen from CSCI 205, CSCI 208 and the 300- and 400-level offerings.

 

185. 

Computing and Interpreting Computations (I and II; 3, 1)

Course includes a study of the history of computation. Instruction in programming in BASIC and Excel provides tools for solving problems. Working in small groups, students write short reports describing solutions of case studies.

202. 

Computing for Scientists (I or II; 3, 2)

An introduction to solving scientific problems with computation using both programming and packaged analysis tools. Examples are drawn from the sciences. Prerequisite: MATH 201. Not open to computer science majors or students who have taken CSCI 203.

203. 

Introduction to Computer Science I (I or II; 3, 2)

Overview of computing that explores relationships between computer organization, various programming approaches, limits to computing, and computing in society. Students solve computational problems using Python.

204. 

Introduction to Computer Science II (I or II; 3, 2)

Introduction to data structures and algorithms using an object-oriented approach. Topics include software-engineering principles, object-oriented programming, recursion, basic data structure, algorithm analysis, and team programming. Prerequisite: CSCI 203 or permission of the instructor. Corequisite: MATH 201 or equivalent.

205. 

Software Engineering and Design (I or II; 3, 0)

Fundamentals of software design and software engineering. Students will participate in large-scale, team-based software development project. Prerequisite: CSCI 204 or permission of the instructor.

206. 

Computer Organization and Programming (I or II; 3, 2)

Concepts of software and hardware. Software: instruction set design, assembly language and assemblers. Hardware: processor organization, memory hierarchy, interfacing processors and I/O devices. Prerequisite: CSCI 204 or permission of the instructor.

208. 

Programming Language Design (I or II; 3, 2)

Study of modern programming language paradigms (procedural, functional, logic, object-oriented). Introduction to the design and implementation of programming languages including syntax, semantics, data types and structures, control structures, run-time environments. Prerequisite: CSCI 204.

240. 

Computers and Society (II; 2, 0) Half to full course.

The place of the computer in modern society. An in-depth study of the societal, ethical, and legal issues of computing. Historical as well as futurists' views of computing and technology. Public perception of computers and computer scientists and how that influences the role of the computer scientist as a professional. Course work includes oral and written presentations. Prerequisite: junior or senior standing.

278. 

Computer Science Individual Study (I, II, or S; R; 0, 6) Half to full course.

Independent study or project in computer science. Prerequisite: one of the following: CSCI 185, 202, 203, 204, 205, 206, 208, 240, or permission of the instructor.

305. 

Introduction to Database (I or II; 3, 0)

Relational database design methodologies, evaluation techniques, programming, and query languages. Introduction to database systems design, performance, and object-oriented databases. Prerequisites: junior or senior standing and CSCI 206.

311. 

Algorithms and Data Structures (I; 3, 1)

Introduction to the algorithms and data structures used in implementing abstract data types including priority queues, dictionaries, and graphs. Includes complexity and analysis of various implementations. Prerequisites: MATH 241 and CSCI 205 or permission of the instructor.

315. 

Operating Systems Design (II; 3, 2)

Introduction to operating system design including processor management, scheduling, memory management, resource allocation, file systems, and concurrency. Prerequisite: CSCI 206.

320. 

Computer Architecture (I; 3, 2)

Use hardware description language to describe and design digital systems. Processor design, pipelining, cache and storage systems. Instruction and thread level parallelism, speculation, branch prediction. Prerequisite: CSCI 206 or permission of the instructor.

331. 

Compiler Optimization (II; 3, 0)

Project-base introduction to compiler optimization for theoretical and practical issues such as run-time, memory usage, code robustness, and security. Prerequisite: CSCI 208.

334. 

Graphs, their Algorithms, and Software Engineering (I or II; 3, 0)

An introduction to graph theory including: degree sequence, paths, cycles, directed graphs, and graph polynomials. Group projects on visualization of algorithms using a modern software engineering methodology. Prerequisite: CSCI 205.

335. 

Web Information Retrieval (I or II; 3, 0)

Introduction to information retrieval. Topics include retrieval models, evaluations, text properties, indexing, query operations, user interfaces, and web search. Prerequisites: CSCI 206 and junior standing.

341. 

Theory of Computation I (I; 3, 1)

Finite automata, regular sets, pushdown automata, context-free grammars. Turing machines, recursive functions and undecidability. Prerequisite: MATH 280 or 241.

350. 

Introduction to Analysis of Algorithms (I or II; 3, 0)

Selected topics in algorithm design, analysis, and application. Possible topics include network flows, graphs, string processing, randomized algorithms, parallel algorithms, optimization, and NP-completeness. Prerequisite: CSCI 311.

362. 

Computer and Network Security (II; 3, 0)

Fundamental principles of computer and network security. Topics include cryptology, privacy, secure programming, authentication, assurance, intrusion detection, and practical experience on networked Linux computers. Corequisite: CSCI 315.

363. 

Computer Networks (AII; 3, 2)

Principles and design of networked computing systems and application programs. Topics include reliable communications, medium access control, routing, congestion control, and networked applications. Prerequisite: CSCI 315.

367. 

Computer Graphics (II; 3, 2)

Topics in graphics hardware and software. Input devices and output displays and graphics processor architecture. Application packages, general purpose graphics packages, and algorithms. Use of color and software for two- and three-dimensional graphics. Prerequisites: junior or senior standing; CSCI 204 or permission of the instructor.

376. 

Computer Science Honors Thesis (I and II and S; R) Half to full course.

Independent work on computer science honors thesis. Prerequisite: permission of the instructor.

378. 

Individual Study in Computer Science (I or II or S; R) Half to full course.

Independent study in computer science. Recent areas include graph algorithms, computer security, distributed computing, graphics, programming languages, software engineering, web retrieval. Prerequisites: junior standing and permission of the instructor.

379. 

Topics in Computer Science (I or II; R) Half to full course.

Current topics of interest. Course may or may not require laboratory depending upon the topic. Prerequisite: permission of the instructor.

475. 

Senior Design I (I; 2, 0) Half course.

A recognized software engineering methodology will be used with all phases of a senior design project. Written work will include a technical report about the project, a feasibility report, and a requirements specification document. Prerequisite: permission of the instructor.

476. 

Senior Design II (II; 1.5, 0)

Students will undertake several cycles of delivery, including (for each cycle), a design document, an implementation of the product, testing, and feedback. Students will produce a technical manual and a user's manual for the final version. Class presentations of the design versions and implementations will be given to obtain feedback. There will be a public presentation of the final product and design process. Prerequisite: CSCI 475.

479. 

Computer Science Design Project (I or II; 3, 0)

Students in teams use software engineering methodology to design and implement a semester-long project. Written reports and presentations are required. Prerequisites: CSCI 205 and senior standing in the College of Arts and Sciences.

See The Curricula - College of Engineering for degree requirements for engineering programs.

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