TOPICS (Tentative!) (CSE 513)                                                            

Date        Topics                                                                                   Assignments

Wed 08/31 Introduction to Neuro-Fuzzy and Soft Computing

Mon 09/05 No Class (Labor day Recess!) 

Wed 09/07 Fuzzy Sets

Mon 09/12 Fuzzy Sets

Wed 09/14 Fuzzy rules and Fuzzy Reasoning 

Mon 09/19 Fuzzy rules and Fuzzy Reasoning                                                         

Wed 09/21 Fuzzy Inference Systems                                                              

Mon 09/26 Fuzzy Inference Systems                                                                       Homework #1 assigned 

Wed 09/28 Least-Squares Methods for System Identification

Mon 10/03 Least-Squares Methods for System Identification                              

Wed 10/05 Derivative-based Optimization                                                              Homework #1due

Mon 10/10 Derivative-based Optimization                                                              Homework #2 assigned

Wed 10/12 Derivative-Free Optimization                                                    

Mon 10/17 Review Exercises                                                                                      Project assigned 

Wed 10/19 Derivative-Free Optimization                                                                              

Mon 10/24 Adaptive Networks                                                                                    Homework #2 due

Wed 10/26 Adaptive Networks                               

Mon 10/31 Supervised Learning Neural Networks                                               WebCt Quiz posted

                                                                                                                      (last day for quiz submission: 11/10!)

Wed 11/02 Supervised Learning Neural Networks

Mon 11/07 Learning from Reinforcement

Wed 11/09 Project presentations                                                                              Project due

Mon 11/14 Project presentations                                                  

Wed 11/16 Learning from Reinforcement        

Mon 11/21 Unsupervised Learning and Other Neural Networks                     Written Report due

Wed 11/23 Students Oral Presentations       

Mon 11/28 Students Oral Presentations

Wed 11/30 Unsupervised Learning and Other Neural Networks

Mon 12/05 Review Exercises

Final Exam scheduled on Wednesday December 14^th, from 7 to 9 pm

OBJECTIVES

The student should:

• Identify an application that involves “fuzziness”
• Understand the difference between a fuzzy and a deterministic or probabilistic system
• Be able to develop rules to reason in a fuzzy environment
• Be able to develop mathematical models (regression models) for system identification
• Know when one should apply derivative-based optimization and derivative-free optimization for system identification
• Solve problems, when the environment is subject to change
• Build automatic systems that learn through interaction with the environment

This set of objectives given by the instructor is not necessarily reached by the students. Assessment should be provided to measure the distance between the outcomes and these objectives.