| CODE | CSA5018 | |||||||||
| TITLE | Concepts of Artificial Intelligence | |||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | |||||||||
| MQF LEVEL | Not Applicable | |||||||||
| ECTS CREDITS | 6 | |||||||||
| DEPARTMENT | Intelligent Computer Systems | |||||||||
| DESCRIPTION | This study-unit aims to familiarize students with the nature of AI problems and related practical solution techniques. Thetopics covered include (but are not limited to): . • History of AI; • Agent Technologies & Mark-up languages; • Problem solving, • Ontologies & the Semantic Web; • Game Playing; • Knowledge Representation; • Expert Systems; • Search and Optimization problems; • Natural Language Processing; • Artificial Neural Networks; • Genetic and Evolutionary Algorithms; • Montecarlo Techniques; • Artificial Life & Swarm Intelligence; • Ethical Issues of AI. Textbooks: Textbooks (Part 1): • Russell and P Norvig. Artificial Intelligence, a Modern Approach. Prentice Hall, 1994. ISBN 0-13-103805-2. • Yoav Shoham. Artificial Intelligence Techniques in Prolog. Morgan Kaufmann ISBN 1-55860-167-8. • Bratko, Prolog Programming for AI, 1994, Addison Wesley, ISBN 0-201-41606-9. • Website: http://vle.um.edu.mt • Baeza-Yates, Ricardo. Ribeiro-Neto, Berthier. 1999. Modern Information Retrieval. Addison Wesley, New York • Brin, Sergey. Page, Lawrence. 1998. “The Anatomy of a Large-Scale Hypertextual Web Search Engine”. Stanford University, California. Textbooks (Part 2): • David E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. • Michael Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems, Addison Wesley, ISBN 0-201-71159-1 • Study-unit notes and handouts will also be provided by the Study Unit Coordinator for part II. |
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| STUDY-UNIT TYPE | Lecture | |||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Alexiei Dingli |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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