RIT Department of Computer Science
Faculty and students in the Intelligent Systems Area work with the theories, algorithms and hardware needed to create systems that are able to perceive the world and act intelligently. Faculty research interests and research labs may be found below, along with a list of Intelligent Systems courses.
Intelligent Systems Faculty
Name Research Interests Laboratory Zack Butler Robots for Education, Self-Reconfigurable Robots RND Lab Roxanne Canosa Computer Vision, Visual Perception, Image Understanding Roger Gaborski Computer Vision, Acoustics Laboratory for Computational Sciences Leon Reznik Machine Learning, Sensor Networks, Security Linwei Wang Computational Biomedicine Computational Biomedicine Laboratory Richard Zanibbi
Document Recognition & Retrieval, HCI   Document and Pattern Recognition Lab (dprl)
Intelligent Systems Courses (Fall, Spring 2014-15)
All course codes begin with the prefix "CSCI-" (used for Computer Science). Computer Science undergraduate students are required to take CSCI-331; undergraduates specializing in Intelligent Systems are required to take an additional two courses. Graduate students specializing in Intelligent Systems are required to take three of the graduate courses below.
Please Note: Undergraduate students may take a number of IS graduate courses with permission of the course instructor, or the graduate coordinator. CSCI-539 and CSCI-739 are special topics courses, whose subject will be chosen by the instructor when offered.
331 Introduction to Intelligent Systems 431 Introduction to Computer Vision 531 Introduction to Security Measurement 532 Introduction to Intelligent Security Systems 539 Seminar in Intelligent Systems
630 Foundations of Intelligent Systems 631 Foundations of Computer Vision 632 Mobile Robot Programming 633 Biologically Inspired Intelligent Systems 731 Advanced Computer Vision 732 Image Understanding 734 Foundations of Security Measurement and Evaluation 735 Foundations of Intelligent Security Systems 736 Neural Networks and Machine Learning 737 Pattern Recognition 739 Topics in Intelligent Systems (Seminar)