Undergraduate

Courses

Computer Science

B351 Introduction to Artificial Intelligence

Credits: 3

Prerequisite(s): CSCI-C 200 or C 211.

A survey of techniques for machine intelligence and their relation to human intelligence. Topics include modeling techniques, neural networks, problem-solving methods, heuristics, search, logic, knowledge representation, machine learning, and production systems. 

Fall 2017


Instructor: Gregory J. E. Rawlins
Time: 5:45PM-7:00PM Mon, Wed
Location: PY226

  • Course History

      Spring 2017


      Instructor: Mehmet Dalkilic
      Time: 4:00PM-5:15PM Tue, Thu
      Location: MO007

      Fall 2016


      Instructor: Gregory J. E. Rawlins
      Time: 5:45PM-7:00PM Mon, Wed
      Location: Informatics East, Room 130


      Instructor: Junhee Park
      Time: 4:00PM-5:15PM Tue, Thu
      Location: Informatics East, Room 130

      Spring 2016


      Instructor: Phillip Odom
      Time: 4:00PM-5:15PM Mon, Wed
      Location: Student Building, Room 150

      Fall 2015


      Instructor: Gregory J. E. Rawlins
      Time: 5:45PM-7:00PM Mon, Wed
      Location: Informatics East, Room 130

      Fall 2014


      Instructor: Gregory J. E. Rawlins
      Time: 5:45PM-7:00PM Mon, Wed
      Location: Ballantine Hall, Room 005
      Course URL (syllabus link or course homepage)

      Fall 2013


      Instructor: Kris Hauser
      Time: 11:15AM-12:30PM Tue, Thu
      Location: Informatics East, Room 130
      Course URL (syllabus link or course homepage)
      Supplementary Description: Programming assignments will be in Python.

      Fall 2012


      Instructor: David Leake
      Time: 4:00PM-5:15PM Tue, Thu
      Location: Woodburn Hall, Room 004

      Fall 2011


      Instructor: David Leake
      Time: 4:00PM-5:15PM Tue, Thu
      Location: Ballantine Hall, Room 006


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