Click here to return to the main Summer Academy website.
Summer Academy Description
The AI for Scientists and Engineers Summer Academy is designed for academic researchers, including university faculty, in a wide range of domains including biological sciences, engineering, environmental and earth science, physical sciences, and social sciences. Participants will learn the mathematical foundations of machine learning (ML), critically assess the data used in AI models, evaluate and validate ML model outputs, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics; prior coding experience is not required. Specific topics include supervised and unsupervised learning, neural networks, causal inference, and science-informed machine learning models.
The Summer Academy consists of three weeks of instructions, with different focuses. One can choose to attend any or all weeks; however, weeks 2 and 3 require some prior knowledge of AI / ML.
Please be sure to enter your U-M email address in the Attendee Email field below.
Please be sure to enter your U-M email address or Other Academic Institution email in the field below.
Light breakfast options will be available daily. A dedicated lunch reception is planned for Wednesday each week.
If you are registering for all 3 weeks, only check the "All 3 Weeks" option. Do NOT select the individual weeks below if registering for all 3 weeks.
If you are registering for All 3 weeks, only check the "All 3 Weeks" option. Do NOT select the individual weeks below
All registrations are subject to review and verification.
MIDAS reserves the right to review applicant eligibility, and to cancel registration and issue a full refund if the applicant does not meet the requirements, or if information provided is deemed incomplete or inaccurate. Please reach out to MIDAS for questions or concerns at midas-academy@umich.edu
Cancellation Policy