See below for information on Prof. Hasti Veeraraghava Raju's course on Artificial Intelligence in Thermal Systems, now being offered in Fall 2020.

Course description:

This course covers an introduction to mathematical concepts, exploratory data analysis, data preparation, data visualization, supervised learning, unsupervised learning, deep learning, and reinforcement learning with applications in thermal systems. Basic knowledge in Thermodynamics and Python would be helpful but not required. Course materials will be provided to understand the required thermal concepts. Detailed instructions on how to get started with Python using Jupyter Notebook and TensorFlow will be provided at the beginning of the course. This course provides an integrated approach from fundamentals to applications with practice problems and presentations from leading industry experts on the industrial applications of AI. Students have the freedom to identify the course project based on their interests and work individually or in a group. Students who have difficulty can take help from the instructor to identify the project topics. Students will apply the concepts learned from lectures in their course projects. No exams. 

See syllabus here.