Spring 2022
DATA 88 001 - SEM 001
Data Science Connector
Environmental Data Analysis
Daniel Sussman Hammer
Class #:28335
Units: 2
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
1
Enrolled: 29
Waitlisted: 0
Capacity: 30
Waitlist Max: 5
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.
Class Description
Explore the intersection of data science and environmental policy analysis through applications in environmental justice, carbon emissions, pollution regulation, and remote sensing.
Class Notes
Data C8 (CS/Stat/Info C8) is a pre/co-requisite for this course.
Rules & Requirements
Repeat Rules
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None