CME 217: Analytics Accelerator (BMDS 294)

Computational & Mathematical Engineering Stanford University 3.0 credits

Course Description

This is a multidisciplinary graduate level course designed to give students hands-on experience working in teams through real-world project-based research and experiential classroom activities. Students work in dynamic teams with the support of course faculty and mentors, researching preselected topics. Students apply a computational and data analytics lens and use design thinking methodology. The course exposes students to ethics, unintended consequences and team building exercises supported by relevant lectures on data science and subject matter topics. Pre-requisites: none. Enrollment by application only. Graduate students only. The course application closes November 30, 2021. Application and more information: https://forms.gle/VW6KKWN4AUV6cPzZA

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