ENER 471

This course is designed to build industry-valued knowledge for engineering students looking to work in both renewable and non-renewable energy sectors or continue their education in related fields. It is aiming at fostering students knowledge about fundamental theory and algorithms of machine learning as a new trend in the education and in order to evolve in the world’s new direction of science. Concepts such as data science, big-data analytics, data mining, data filtering, probabilistic and statistical analysis and modelling, supervised and unsupervised learning in widely applicable language such as Python, commonly used AI methods and applications, as well as optimization techniques with the main focus on energy systems engineering will be covered. ***