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This is landing page for students preparing for AI qualifiers in CS.

The Department's standard course offerings in Artificial Intelligence include

  1. a senior-level survey of the field, CS 540;
  2. two graduate-level survey courses of the field, CS 760 and CS 731; and
  3. a series of 700-level courses each covering one sub-area of the field.

The sub-areas and the primary courses covering them are Advanced Machine Learning (CS 761), Computer Vision (CS 766), and Advanced Bioinformatics (CS 776). Each of these courses has CS 540, CS 760, CS 576, or CS 731 as a prerequisite. Note that staff shortages may make it impossible for the Department to regularly offer CS 731.

Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, and CS 776.

The AI qualifying exam is designed to test for both a general breadth knowledge of AI and a deeper specialized knowledge of one particular sub-area within AI. Specifically, the exam will consist of

  1. Two mandatory questions from CS 760, and
  2. Two questions each from CS 761, CS 766, and CS 776.

To pass the examination, students will have to answer satisfactorily the

  • Two questions from CS 760, and
  • Both questions from a single additional class (CS 761, CS 766, or CS 776).

That is, the latter two questions cannot be from different courses, and must correspond to the sub-area in which the student is intended to specialize.

Please review the reading list for the relevant courses from the sidebar

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Page last modified on January 18, 2017, at 01:19 PM