Module code | EAI 320 |
Qualification | Undergraduate |
Faculty | Faculty of Engineering, Built Environment and Information Technology |
Module content | The module is an introduction to problem-solving and pattern recognition using intelligent systems. Application of basic artificial intelligence (AI) and machine learning (ML) techniques including search, genetic algorithms, neural networks, probabilistic reasoning, and supervised learning are covered. |
Module credits | 16.00 |
NQF Level | 07 |
Programmes | |
Prerequisites | WTW 258 GS and admission into relevant programme. |
Contact time | 1 tutorial per week, 3 lectures per week, 9 hours practical per semester |
Language of tuition | Module is presented in English |
Department | Electrical, Electronic and Computer Engineering |
Period of presentation | Semester 1 |
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