A&S—Intelligent Systems Program
The graduate program in intelligent systems serves as a center at the University of Pittsburgh for advanced education and research in artificial intelligence and related areas of cognitive science. Drawing on strengths from many sectors of the University, and on over 30 funded research projects, the program offers a strong, well-balanced core curriculum in the fundamentals of artificial intelligence (AI) and many opportunities for advanced research and training. The scope of the program is broad, but offers specializations in specific areas such as diagnosis, biomedical informatics, machine learning, intelligent tutoring, natural language processing, case-based reasoning, human computer interaction, and problem solving. There are especially strong connections to research groups in the Department of Computer Science, the Learning Research and Development Center, the Department of Information Science and Telecommunications, and the School of Medicine. The program also draws on associated faculty from other units, including the School of Law, the School of Education, the Department of Philosophy, and the Department of Psychology.
The program offers Master of Science and Doctor of Philosophy degrees and an area of concentration in medical informatics.
Contact Information
- Codirectors: Janyce Wiebe and Gregory Cooper
- Main Office: 5113 Sennott Square
- 412-624-5755
- Fax: 412-624-8561
- E-mail: keena@pitt.edu
- www.isp.pitt.edu
Students in the ISP program are funded through a variety of sources, including externally supported research and training grants, University fellowships, and program funds.
Students receiving the MS in ISP should complete
- (a) the required courses (ISSP 2020 in both fall and spring terms, ISSP 2160/CS 2710),
- (b) two courses from the following: ISSP 2170/CS 2750, ISSP 3712/CS 3740, ISSP 2230/CS 2731, and
- (c) a theory course from both A (BIOST 2041, BIOST 2042) and B (CS 2110, CS 2150, ISSP 3520/CS 3120) with a GPA of 3.0 or better
and an MS-level project, approved by the faculty after an oral prospectus presentation, involving significant research, design, or development work and a written report. Overlapping with ISP requirements are requirements of the School of Arts and Sciences (A&S). Students should speak with their advisors to make sure they complete both sets of requirements.
To earn the Doctor of Philosophy degree in intelligent systems, a student must complete a program of study approved by an advisory committee of faculty. This program must include
- (a) the required courses (ISSP 2020 in both fall and spring terms, ISSP 2160/CS 2710),
- (b) two courses from the following: ISSP 2170/CS 2750, ISSP 3712/CS 3740, ISSP 2230/CS 2731, and
- (c) a theory course from both A (BIOST 2041, BIOST 2042) and B (CS 2110, CS 2150, ISSP 3520/CS 3120), along with
- (d) an additional course from either A or B with a GPA of 3.0 or better, and
an MS-level project, approved by the faculty after an oral prospectus presentation, involving significant research, design, or development work and a written report; successful completion of a comprehensive examination; and successful defense of a proposal and doctoral dissertation.
The curriculum assumes that a student already has training in a healthcare field; if this is not so, then the faculty will select a set of courses that teaches the student basic medical knowledge, and the student may take these courses as electives. For a sample ISP/MI curriculum that might be taken by a doctoral student, see www.cbmi.upmc.edu.
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