Course overview
This course aims to provide students the opportunity to study some of the cutting-edge topics in AI and machine learning in sufficient depth that at the end of the course students will be equipped with the knowledge and skills on the topics and will be able to conduct critical analysis on the literature relevant to the topics and contribute to the research and applications in the area. The topics covered may vary year to year, depending on the new development in the field and the research interests and expertise of the course teaching team.
Course learning outcomes
- Demonstrate an in-depth knowledge of the fundamentals of the topics taught
- Demonstrate a broad knowledge of the fields related to the topics taught
- Explore and critically analyse the literature in the fields related to the topics taught and be in a strong position to contribute to the research and applications in the fields
- Develop prototype solutions to real-world problems based on the algorithms and approaches learned on the topics
Degree list
The following degrees include this course