The course provides students with a comprehensive understanding of the concepts and theories that form the basis for machine learning, including different types of machine learning and specific machine learning methods. The course also aims to develop technical skills in software engineering and computer science, as well as communication and problem-solving skills. Students will be able to analyse, manipulate and interpret data using machine learning technology, apply machine learning technologies to solve real-world problems with a holistic world view, evaluate the implications of underlying causalities derived from system thinking and system analysis and work independently or as part of a team to develop machine learning models.