Artificial Intelligence (AI) aims to simulate human thinking capability and behavior. Machine Learning (ML) is a subset of AI that allows machines to learn from data without being programmed explicitly. This is an introductory level course to introduce the fundamentals of AI and ML with the specific objective of imbuing the student with an in-depth ability to take the concepts to real world engineering application. Integration with autonomous vehicles and robotic applications is a direct extension for AI and ML as the vehicles need to navigate through unknown environments and complete assigned tasks. The course leads students towards physical realization through a series of demanding group projects that develop to various applications. The module covers definitions, theory, and peripheral knowledge for the development of simple AI/ML applications. Different data sources (manual user input, image library data, and onboard sensors) will be considered for different applications and integrated with open-source software to develop the different AI/ML applications to embrace technology without the need to write complex computer codes. The applications considered will include: a chatbot, object recognition tool and control of an autonomous vehicle or robotic application.
Academic Units | 3 |
Exam Schedule | Not Applicable |
Grade Type | Letter Graded |
Department Maintaining | ME |
Prerequisites | |
Not Available to Programme | ME(DES), ME(IMS), ME(RMS), MEEC(DES), MEEC(IMS), MEEC(RMS) |
Not Available as BDE/UE to Programme | ME(2011-2020)(Non Direct Entry), ME(2011-2021)(Direct Entry), MEEC(2011-2020) |
Index | Type | Group | Day | Time | Venue | Remark |
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0930
1030
1130
1230
1330
1430
1530
1630
1730
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