This advising seminar incorporates elements of computation, data science, and positive psychology to teach students how to take charge of their learning and wellbeing. Learning objectives include an understanding of the importance of trustworthy data, the need to question the results from machine learning algorithms, the ability to use statistical techniques to confirm results, and the development of a growth mindset.

In collaboration with Electrical Engineering and Computer Science (EECS) and Writing, Rhetoric, and Professional Communication (WRAP)

Supported by ESG, EECS, MIT Stephen A. Schwarzman College of Computing, Open Learning, and WRAP