The aims of this module are to:

• enhance awareness and critical appreciation of high-quality research-based publications;
• develop ability to communicate research-findings to others in an independent minded manner;
• develop skills in research methods.

The aim of this module is to provide an up-to-date introduction to state-of-art artificial intelligence with a particular focus on the developments of the last five to ten years. The module will introduce specific methods within the scientific contexts in which AI has seen considerable progress. The module will also prepare students for the in-depth analysis of the various methods presented in the following modules in the programme.

This module aims to prepare students to apply modern machine learning techniques to solve various real-world challenges as well as exploring state-of-the- art deep learning technology. This self-contained module will introduce conventional machine learning methods and new deep neural network development. With the understanding of the techniques, the students will gain the ability to apply and develop practical machine learning solutions for real-world applications, thus to satisfy industrial needs under different scenarios.

The aims of this module are to provide students with the relevant concepts of robotics from the AI perspective and the skills for developing planning and learning systems that apply to robotics.