Syllabus ----- Schedule

CSCI-633 Biologically Inspired Intelligent Systems Syllabus

Catalogue Description

There have been significant advances in recent years in the areas of neuroscience, cognitive science and physiology related to how humans process information. In this course students will focus on developing computational models and techniques that are biologically inspired to solve complex problems. A research paper and programming project on a relevant topic will be required. A background in biology is not required. (CSCI-603 Advanced C++ and Program Design, CSCI-605 Advanced Java Programming, and CSCI-661 Foundations of Computer Science Theory, with B or better in all courses or equivalent or permission of instructor) Class 3, Credit 3 (Fall)

Course Outcomes

• Students will demonstrate a thorough knowledge of key fundamental concepts pertaining to biologically inspired systems.
• Students will demonstrate an in depth knowledge of the different classes of evolutionary algorithms, including, TABU search, evolutionary strategies and genetic algorithms.
• Students will design and implement a computationally-based biologically inspired project and evaluate their approach, analyze their results and present their research in class. 
• Students will advance their research and analytical skills

Instructor Contact

• Roger S. Gaborski, Ph.D.
• Office: 70 - 3647
• Phone: N/A
• email: rsg@cs.rit.edu
• website: www.cs.rit.edu/~rsg

Course Policies

Required Materials

• Textbook: Kenneth DeJong Evolutionary Computation, 2006.
• Lecture notes and recent articles available on the Internet and library
• MATLAB programming environment

Additional Resources

Grading

CS Common Course Policies Include:

• Rescheduling an Exam
• Course Withdrawal
• Disability Services
• Academic Integrity

updated: Monday April 16 12:08:00 EDT 2012