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Course Name (English)
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FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE
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| Course Code |
CSC463 |
| Course Description |
The course aims to provide students with basic concepts of artificial intelligence (AI). It will discuss knowledge representation, search strategies, reasoning with uncertainties, and knowledge representation learning. Upon the completion of the course, students should be able to understand the fundamental principles of artificial intelligence concepts, basic approaches of artificial intelligence methods and are able to apply AI techniques to solve complex problems. |
| Transferable Skills |
Reflective Learner
Resourceful and Responsible
Ethically and Socially Sensitive
Independent and Critical Thinker |
| Teaching Methodologies |
Lectures, Blended Learning, Lab Work |
| CLO |
| CLO1 |
Explain Artificial Intelligence concepts and its application. |
| CLO2 |
Demonstrate methods in manipulating knowledge. |
| CLO3 |
Utilize the various types of search strategies. |
| CLO4 |
Apply various techniques to solve complex problems. |
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| Pre-Requisite Courses |
No course recommendations |
| Reading List | | Recommended Text | - Michael Negnevitsky 2011, Artificial Intelligence: A Guide to Intelligent Systems, 3rd Ed., Pearson Education Canada [ISBN: 978-14082257]
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| Reference Book Resources | - Jeff Heaton 2013, Artificial Intelligence for Humans, Volume 1, CreateSpace [ISBN: 1493682229]
- Stuart Russell,Peter Norvig, Artificial Intelligence [ISBN: 9781292024202]
- Andrew Hodges 2012, Alan Turing:The Enigma, Vintage Digital; Film Tie-in edition Amazon Digital Services, Inc. [ISBN: 069116472X]
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| Article/Paper List | This Course does not have any article/paper resources |
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| Other References | - E-book Russel, S. and Norvig, P. 2009, Artificial Intelligence: A Modern
Approach, 3rd Edition
, Prentice Hall
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