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  Graduate School-New Brunswick 2003-2005 Programs, Faculty, and Courses Computer Science 198 Programs  

Programs

The program in computer science offers courses in most areas of the field and provides flexible options for advanced research. To enter the program, applicants must have completed an accredited undergraduate program in computer science or at least taken the core courses required for an undergraduate degree in computer science. This includes a substantial background in mathematics, especially calculus, linear algebra, discrete mathematics, and probability/combinatorics. Students should have at least one term in all of these subjects and two terms in calculus. Finally, applicants should have taken high-level languages, data structures, assembly language and machine organization, algorithm design and analysis, and an advanced undergraduate-level elective course. All applicants are required to take the Graduate Record Examination`s general and computer science examinations.

Candidates for an M.S. degree have two options. They may complete 30 credits of course work and write an acceptable expository essay, or they may take 24 credits of course work and submit a master`s thesis worth 6 credits. The candidate also must pass the program`s master examination, which is designed to ensure breadth of knowledge. Courses are offered to help students prepare for the examination.

A candidate for the Ph.D. degree must complete 48 hours of course work beyond the bachelor`s degree. Students who enter the program after earning a master`s degree may apply to transfer 24 of the 48 credits required for the lower degree. Normally, the program requires one year in residence, but in special cases the department will consider alternatives to full-time residence. In addition, the student must pass a qualifying examination before beginning his or her thesis research, which forms a major part of the Ph.D. program (24 credits). The thesis should cover original investigations in one or more problems in computer science. A master of philosophy degree is available to doctoral candidates.

Current research being done by the graduate faculty is expected to stimulate doctoral research. Faculty research interests include algorithms, artificial intelligence, combinatorics, complexity theory, computational biology, computational geometry, computational linguistics, data structures, distributed systems, graphics, human-computer interaction, information systems, knowledge representation, machine learning, mathematical programming, and mobile computing. Faculty members also are exploring numerical analysis, networking, optimization, parallel computing and systems, programming languages and compilers, software engineering, and vision. All qualified graduate students are eligible to be considered for teaching assistantships and fellowships. Also, several grant-supported research projects have research assistantships for advanced graduate students.

Several coupled computing environments supporting faculty, graduate students, and undergraduates are accessible from a variety of desktop workstations (Sun, DEC, NCR, Dell, Apple). These environments provide cycle and file service using multiuser servers (Sun, SGI, PC) over high-speed networks that support shared printers and modems. All faculty and graduate student offices are equipped with networked workstations connected to servers that support large-memory and massive parallel computing. In addition, dedicated research and instructional laboratories are available. Students, for example, have access to electronic laboratories and classrooms, clusters of PC servers, and two 64-processor Sun Enterprise 10,000 units. The department`s computer facilities are run by the staff of the Laboratory for Computer Science Research.

All facilities are located in the CoRE (Computer Research and Engineering) Building, which also houses the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), and in the Hill Center for the Mathematical Sciences, which also houses the Library of Mathematical Sciences.

Further information may be found in the Graduate Program in Computer Science, a brochure available from the program and on the web at http://www.cs.rutgers.edu.


 
For additional information, contact RU-info at 732/932-info (4636) or colonelhenry.rutgers.edu.
Comments and corrections to: Campus Information Services.

2005 Rutgers, The State University of New Jersey. All rights reserved.