Why this course

This specialisation is designed for engineering and general science students to learn and apply AI techniques most effectively and efficiently. Different from specializations for computer science students, the most popular and effective AI algorithms that are used by engineers and scientists are carefully selected and explained understandably. A particular emphasis is the use of these algorithms for real-world engineering and science problems. Through MATLAB toolboxes, students can bypass intricate programming to use these techniques and achieve superior results. After taking this specialization, the students can understand the concepts and working principles of key techniques in evolutionary computation and machine learning, and use them fluently in optimization and data analysis tasks in engineering and science practice.

This specialisation is the result of the research program of AI for science and engineering by University of Glasgow (an international top 100 university), investigating the effective and efficient way of teaching AI for non-computer science/mathematics-focused students. The course introduction video is here.

Applied Learning Project

The assignments ask students to solve (simplified) real-world scientific and engineering problems, including optimization and machine learning, using AI techniques. The learners will analyze the problems and apply the AI knowledge that was taught with the support of the MATLAB platform and toolboxes. In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course.

How to register

Registration is free. The course is hosted on an external learning platform, Coursera.

Registration for this course is free, with free time-limited access to content: charges may apply for additional features and extended study.