Analytics Accelerator
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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
Cross Listed Courses
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
Yes
Total Units Allowed for Degree Credit
6
Course Component
Practicum
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
Programs
CME217
is a
completion requirement
for:
- (from the following course set: )
- (from the following course set: )