COURSE TITLE: EECS 337 Introduction to Semantic Information Processing

CATALOG DESCRIPTION: A semantics-oriented introduction to natural language processing, broadly construed. Representation of meaning and knowledge inference in story understanding, script/frame theory, plans and plan recognition, counter-planning, and thematic structures.

REQUIRED TEXTBOOK : None.

REFERENCE TEXTBOOKS:

•  ANSI Common Lisp Book

COURSE COORDINATOR: Larry Birnbaum

PREREQUISITES: EECS 348 or consent of instructor

DETAILED COURSE TOPICS:

• Language Understanding 
• Modeling Human Cognition with Computers
• Psychological Theories and Themes
• Task Driven Software and Artifact Design

HOMEWORK ASSIGNMENTS:

• Assignment 1 - Lisp Intro
• Assignment 2 - Ambiguity
• Assignment 3 - Eliza
• Assignment 4 - Action - Inference.
• Assignment 5 - Inferencer
• Pick one: Paper or Program

GRADES:

• Class discussion - 10%
• Projects and Assignments -50% (Harder assignments are worth more. Go figure.)
• Final Paper - 30%
• Attendance - 10%