ChatGPT. Dall-E. Deep-fakes. Artificial intelligence (AI) and data science are more prevalent in society than ever before—but what, exactly, is going on? Students will have the opportunity to answer these questions and learn more about the basics of data science and AI at our annual Introduction to Data Science and AI High School Summer Camp. Campers will work with University of Michigan faculty, graduate students, and their peers to get a taste of data analysis, visualization, and AI through hands-on projects and instruction. Additional programming includes career explorations, presentations from the office of undergraduate admissions, and more.
About the Camp
Eligibility
High school rising juniors and seniors in the Washtenaw, Wayne and surrounding county area. No prior coding experience is required, but students should have have successfully completed at least geometry and algebra I & II or similar coursework.
Camp cost
$15, payable by credit card. Instructions for payment will be sent out with acceptance emails. A light breakfast and lunch will be provided each day of the camp.
Accessability & inclusivity
MIDAS seeks to foster an accessible and inclusive data science and AI community, at U-M and beyond; we encourage students from demographic groups under-represented in STEM fields to apply, especially those who would not otherwise have the opportunity or means to attend such programs.
Questions?
Reach out to midas-contact@umich.edu
Seeking Student Teaching Assistants!
Are you a current U-M student with a strong background in data science, coding, or related areas? Do you have experience as a camp counselor or orientation leader? We want to hear from you! We are hiring teaching assistants for this year’s summer camp to assist faculty with instruction, lead coding labs, work with students during hands-on exercises, and other event support as needed. Compensation is $25/hr. Please send a brief statement of interest and resume to: midas-contact@umich.edu
Team
Andrew Owens
Assistant Professor of Electrical Engineering and Computer Science, College of Engineering, University of Michigan
Kerby Shedden
Professor, Statistics, LSABiostatistics, School of Public HealthDirector of Consulting for Statistics, Computing, and Analytics Research (CSCAR)
Runzi Wang
Assistant Professor, School for Environment and Sustainablity