EE - 242: Intelligent Systems

 

 

 

                                                                      

CREDIT:        4 units. Lecture, three hours; outside research, three hours. 

                                                                               

CATALOG DESCRIPTION:

 

Introduces fundamental concepts of design of intelligent systems.  Topics include biological versus computational systems, knowledge representation, computational reasoning, computational learning, language and human-machine communication, expert systems, computational vision, and examples of intelligent machines.

 

PREREQUISITES:

 

Graduate standing or consent of instructor.  You must be able to program in MATLAB and/or C.

 

TOPICS

 

§  introduction to intelligent system, concept of intelligent agent

§  mathematical framework of intelligent system architectures

§  knowledge representation

§  sensory processing

§  behavior generation

§  planning methods

§  computational learning

§  human-machine communication

§  expert systems

§  application area: intelligent robotics

§  application area: intelligent transportation systems

 

Optional Topics

 

§  computational vision

§  attentive processing

§  real-time architectures