Artificial Intelligence and Intelligent Systems
| Code | School | Level | Credits | Semesters |
| EEEE4133 | Electrical & Electronic Engineering | 4 | 20 | Spring Malaysia |
- Code
- EEEE4133
- School
- Electrical & Electronic Engineering
- Level
- 4
- Credits
- 20
- Semesters
- Spring Malaysia
Summary
This module introduces selected topics from the field of artificial intelligence with particular focus on the decision trees, support vector machines, unsupervised learning, neural networks and reinforcement learning. Students able to grab the knowledge of the fundamentals of artificial intelligence technologies and the interface to electronic engineering applications.
Target Students
MEng, MSc and PhD students of Electrical and Electronic / Mechatronic Engineering
Classes
- Two 2-hour lectures each week for 12 weeks
- One 2-hour laboratory each week for 11 weeks
Assessment
- 30% Coursework 1: A single integrated report and code in the form of MATLAB live report document
- 30% Coursework 2: A single integrated report and code in the form of MATLAB live report document
- 40% Exam (2-hour): Final examination (2 hours)
Educational Aims
To provide knowledge of the fundamentals of artificial intelligence technologies and their relevance to Electronic Engineering applications.Learning Outcomes
By the end of the module, students should be able to:
LO1 Analyse available data, which may be obtained by means of experiments or simulated model, to make a conclusion regarding the nature of the problem posed.
LO2 Apply stochastic optimisation method to design/engineer a functional artificially intelligent system.
LO3 Select and apply the appropriate artificial intelligence-based tools to solve a multidimensional problem, considering the nature of the problem and limitation of the tools.
LO4 Design a solution based on an artificial intelligence approach for a complex multidimensional problem considering potential health & safety, ethical and equality, diversity and inclusion concerns.
LO5 Select, apply and adopt the appropriate risk management to ensure an inclusive artificial intelligent solution.
LO6 Develop an efficient artificial intelligent solution process and algorithm to solve a multidimensional or data demanding problem.
This module contributes to the delivery of the following Engineering Council outcomes:
M1, M2, C3, M3, M5, C11, M11, C12 and M12
Conveners
- Pu Chuan Hsian