The machine learning and dynamic optimization course includes three sections on:
In addition, students complete two course projects:
There is a certificate for those who complete the course. Each section is 3-4 weeks for the online course and an abbreviated 1 day (8 hour) schedule for each section is in the short course. The online course has a mid-term exam for those who complete the first two sections and a final exam for those who complete all sections.
A knowledge of Python or MATLAB is required for this course. There are optional short courses to prepare for this more advanced course. Preparation material includes:
Students can follow the course schedule independently for self-study.