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Detailed Course Information

 

Spring 2022
Mar 28, 2024
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  Select the desired Level or Schedule Type to find available classes for the course.

CSCI 2951X - Reintegrating AI
The goal of AI has been to build complete intelligent agents, yet the field has been fragmented into a collection of problem-specific areas of study. We will first spend a few weeks in lecture covering a new approach to integrating existing AI subfields into a single agent architecture, and remainder of the semester on self-directed, semester-long research projects.
Grading based on a mid-semester project proposal, and a substantial open-ended final project. The projects will be multi-disciplinary in nature but students will have the opportunity to work in small groups, so they need not necessarily have expertise in the relevant areas. Graduate students welcome; undergraduates need instructor permission to enroll.
0.000 OR 1.000 Credit hours
0.000 OR 1.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Discussion Section/Conference, Primary Meeting

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Prerequisites:
Undergraduate level CSCI 1410 Minimum Grade of S or Undergraduate level CSCI 1420 Minimum Grade of S or Undergraduate level CSCI 1950F Minimum Grade of S or Graduate level CSCI 2951F Minimum Grade of S

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Release: 8.7.2.4