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Bird course, but the prof is super unclear about marking criteria. He marks the midterm insanely easy tho!

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— Business Administration (BBA) + Computer Science (BSc) student, taught by Ilias Kotsireas

CP 468

Artificial Intelligence

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Examination of current concepts and techniques in artificial intelligence and machine learning. Topics include knowledge representation, automated reasoning, heuristic search, machine learning and knowledge-based systems. Extensive use of case studies and current applications. Prerequisites: CP213.

Examination of current concepts and techniques in artificial intelligence and machine learning. Topics include knowledge representation, automated reasoning, heuristic search, machine learning and knowledge-based systems. Extensive use of case studies and current applications. Prerequisites: CP213.

0%Liked

Easy

100%

Useful

20%

1 ratings

Examination of current concepts and techniques in artificial intelligence and machine learning. Topics include knowledge representation, automated reasoning, heuristic search, machine learning and knowledge-based systems. Extensive use of case studies and current applications. Prerequisites: CP213.

CP 468

Artificial Intelligence

0%Liked

Easy

100%

Useful

20%

1 ratings

Examination of current concepts and techniques in artificial intelligence and machine learning. Topics include knowledge representation, automated reasoning, heuristic search, machine learning and knowledge-based systems. Extensive use of case studies and current applications. Prerequisites: CP213.

Examination of current concepts and techniques in artificial intelligence and machine learning. Topics include knowledge representation, automated reasoning, heuristic search, machine learning and knowledge-based systems. Extensive use of case studies and current applications. Prerequisites: CP213.

0%Liked

Easy

100%

Useful

20%

1 ratings

Examination of current concepts and techniques in artificial intelligence and machine learning. Topics include knowledge representation, automated reasoning, heuristic search, machine learning and knowledge-based systems. Extensive use of case studies and current applications. Prerequisites: CP213.

CP 468 Prerequisites

CP 213 (Min. Grade D-)

CP 468 Leads To

No Leads To Information Available

CP 468 Restrictions

Must be enrolled in one of the following Levels:

Undergraduate (UG)

Cannot be enrolled in one of the following Year Levels:

Year 1 (1)

Not Applicable (N)

Course Schedule