Spring 2020
DATA 88 002 - SEM 002
Data Science Connector
Michael Harlan Kinstlick
Class #:33045
Units: 2
Offered through
Data Science
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
Hours & Workload
4 to 8 hours of outside work hours per week, and 2 to 4 hours of student-instructor coverage of course materials per week.
Course Catalog Description
Designed to be taken in conjunction with the Foundations of Data Science (COMPSCI/INFO/STAT C8) course, each connector course will flesh out data science ideas in the context of one particular field. Blending inferential thinking and computational thinking, the course relies on the increasing availability of datasets across a wide range of human endeavor, and students' natural interest in such data, to teach students to work actively with data in a field of their interest and to interpret and critique their analyses of data. Topics vary by field, and several topics will be offered each term.
Rules & Requirements
Repeat Rules
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
Associated Sections
None