Summer 2019 - CMPT 310 D100
Artificial Intelligence Survey (3)
Class Number: 4797
Delivery Method: In Person
Course Times + Location:
Mo, We, Fr 10:30 AM – 11:20 AM
AQ 3181, Burnaby
Exam Times + Location:
Aug 9, 2019
8:30 AM – 11:30 AM
1 778 782-7433
Prerequisites:CMPT 225 and (MACM 101 or ENSC 251 and ENSC 252)).
Provides a unified discussion of the fundamental approaches to the problems in artificial intelligence. The topics considered are: representational typology and search methods; game playing, heuristic programming; pattern recognition and classification; theorem-proving; question-answering systems; natural language understanding; computer vision. Students with credit for CMPT 410 may not take this course for further credit.
This course is a broad introduction to the techniques, methodology, and theory of Artificial Intelligence. Depending on time and class interest, the following topics will be discussed.
- Meaning, goals, methods and languages of Artificial Intelligence.
- Knowledge representation.
- Inference in first order logic; logic programming.
- Intelligent searching and planning.
- Natural Language Understanding.
- Machine learning (e.g. neural networks, decision trees).
- Decision making under uncertainty.
- Philosophical foundations, ethical Issues, and future expectations.
Grading will be announced the first week of class.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
- Artificial Intelligence: A Modern Approach (3rd Edition)
- Stuart Russell, Peter NorviG
- Prentice HalL
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ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS