Artificial Intelligence (AI) is the field of engaging computers for reasoning and decision-making. In this subject, you will be introduced to fundamental concepts and different application fields of AI. Main topics include searching, knowledge representation and reasoning, expert system design and development, responsible AI principles and applications. Practice on design … For more content click the Read more button below.
Artificial Intelligence (AI) is the field of engaging computers for reasoning and decision-making. In this subject, you will be introduced to fundamental concepts and different application fields of AI. Main topics include searching, knowledge representation and reasoning, expert system design and development, responsible AI principles and applications. Practice on design and development of AI models for real world problems will be offered in labs.
Capstones provide students with a way of integrating and applying knowledge and skills gained throughout their course.
No
Academic progress review - Schedule A subject
No
Subject instances
To view instance specific details which include - Assessments, Class requirements and Subject instance coordinators - please select your preferred instance via the drop-down menu at the top right-hand side of this page.
Learning resources
Prescribed - Book - Artificial intelligence: structures and strategies for complex problem solving.
Title:Artificial intelligence: structures and strategies for complex problem solving.
Resource requirement:Prescribed
Author/editor:Luger, G.
Year:2009
Edition/volume:6th
Publisher:ADDISON WESLEY
Recommended - Book - Artificial intelligence: A modern approach
Title:Artificial intelligence: A modern approach
Resource requirement:Recommended
Author/editor:Russel, S. and Norvig, P.
Year:2016
Edition/volume:3rd
Career ready
Work based learning (placement):No
Subject intended learning outcomes
On successful completion you will be able to:
1.
Critically assess the scope of artificial intelligence theories and applications
2.
Devise appropriate representations of search problems and knowledge representation schemes
3.
Represent diverse situations using knowledge representation schemes
4.
Design and develop AI models for real world problems
Requisite rules
Students wishing to enrol in Online/Online must be admitted in SMITO, SGITO, SCITIFO, SMAIO, SGIAO, TC001O, SMDSO, SGDSO, SCDSFO, TM003O, TG002O, TC002O, BG007O, BC007O.
