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