Applied AI for Engineers and Scientists: Foundations
About this course
This Specialization is designed for engineering and general science students to learn and apply AI techniques most effectively and efficiently. Unlike Specializations for computer science students, the most popular and effective AI algorithms used by engineers and scientists are carefully selected and explained in an understandable way. Particular emphasis is placed on the use of these algorithms for real-world engineering and science problems. With MATLAB toolboxes, students can bypass intricate programming and use these techniques to achieve superior results. After completing this Specialization, students can understand the concepts and operating principles of key techniques in evolutionary computation and machine learning, and apply them fluently to optimization and data analysis tasks in engineering and scientific practice. This Specialization 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.
83/100
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- What the provider tells you
- 32/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand key AI techniques in evolutionary computation and machine learning
- apply AI algorithms to engineering and science problems
- efficiently use MATLAB toolboxes for data analysis
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