Artificial Intelligence
515 Crawford Hall
Phone 368-2839
George W. Ernst
Randall D. Beer, Ph. D. (Case Western Reserve University)
Associate Professor of Computer Engineering and Science
Hillel J. Chiel, Ph.D. (Massachusetts Institute of Technology)
Associate Professor of Biology
George W. Ernst, Ph.D. (Carnegie Institute of Technology)
Associate Professor of Computer Engineering and Science
Robert S. Galen, Ph.D. (Boston University)
Associate Professor of Epidemiology and Biostatistics
Grover C. Gilmore, Ph.D. (Johns Hopkins University)
Professor of Psychology
Robert L. Greene, Ph.D. (Yale University)
Professor of Psychology
Miles H. Kennedy, Ph.D. (University of London, England)
Professor of Management Information and Decision Systems
Gilles Klopman, Ph.D. (University of Brussels, Belgium)
Professor of Chemistry
Behnam Malakooti, Ph.D. (Purdue University)
Professor of Systems, Control & Industrial Engineering
Francis L. Merat, Ph.D. (Case Western Reserve University)
Associate Professor of Electrical Engineering and Applied Physics
Wyatt S. Newman, Ph.D. (Massachusetts Institute of Technology)
Associate Professor of Electrical Engineering and Applied Physics
The program in artificial intelligence offers an undergraduate minor. The core of the minor introduces students to the techniques of artificial intelligence programming and the basic theoretical concepts of artificial intelligence, knowledge representation, and automated reasoning. Within the minor, a student may choose a track pertaining to science and engineering or a track pertaining to artificial intelligence and cognition. Students who take the science and engineering track will have the opportunity to build significant intelligent systems. They will acquire a solid understanding of methods for knowledge representation and automated reasoning. The science and engineering track provides an opportunity for a student to acquire knowledge that is useful in areas such as management and engineering.
The artificial intelligence and cognition track will give students the opportunity to explore the relationships between computational processes and the study of mind and language. Studies of the relationships between these areas have led to developments in robotics, mathematical neuroscience, visual processing systems, parallel processing systems, mathematical and experimental psychology, and linguistics. A minor consists of five courses. Every student who takes the minor in artificial intelligence must take the two courses, CMPS 131 (Elementary Computer Programming) and CMPS 391 (Introduction to Artificial Intelligence). Students who take the artificial intelligence minor must also take one of two minor tracks:
The Technology Track requires 3 of the following courses:
BIOL 373 Introduction to Neurobiology
BIOL 478 Computational Neuroscience (cross listed as CMPS 478)
BIOL 479 Seminar in Computational Neuroscience (cross listed as CMPS 479)
CMPS 411 Logic Programming
ECMP 491 Intelligent Systems I (cross listed as EEAP 491)
ECMP 591 Intelligent Systems II (cross listed as EEAP 591)
EEAP 484 Computational Intelligence I: Basic Principles (cross listed as ECMP 484)
EEAP 485 Computational Intelligence II: Applications EEAP 489 Robotics I
EEAP 531 Computer Vision for Industrial Applications EEAP 589 Robotics II
ESCI 350 Manufacturing Systems Engineering
ESCI 450 Integrated Production/Manufacturing Systems
PHIL 201 Introduction to Logic
PHIL 306 Mathematical Logic
The Cognitive Science Track requires PSCL 103 (Introduction to Cognitive Science) and 2 of the following courses:
BIOL 373 Introduction to Neurobiology
BIOL 478 Computational Neuroscience (cross listed as CMPS 478)
BIOL 479 Seminar in Computational Neuroscience (cross listed as CMPS 479)
ENGL 301 Linguistic Analysis of Modern English
PHIL 201 Introduction to Logic
PHIL 306 Mathematical Logic
PSCL 101 General Psychology I
PSCL 352 Physiological Psychology
PSCL 353 Psychology of Learning
PSCL 355 Sensation and Perception
PSCL 357 Cognitive Psychology
400 and 500 level courses require the approval of the minor advisor.
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