Spring 2025
STAT 165 001 - LEC 001
Forecasting
William Fithian, Mawil Hasan, Erik Jones, Joao Vitor Romano
Class #:27393
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Statistics
Current Enrollment
Total Open Seats:
-22
Enrolled: 127
Waitlisted: 0
Capacity: 105
Waitlist Max: 21
No Reserved Seats
Hours & Workload
7 hours of outside work hours per week, and 3 hours of instructor presentation of course materials per week.
Other classes by William Fithian
Other classes by Mawil Hasan
Other classes by Erik Jones
Other classes by Joao Vitor Romano
Other classes by William Fithian
Course Catalog Description
Forecasting has been used to predict elections, climate change, and the spread of COVID-19. Poor forecasts led to the 2008 financial crisis. In our daily lives, good forecasting ability can help us plan our work, be on time to events, and make informed career decisions. This practically-oriented class will provide students with tools to make good forecasts, including Fermi estimates, calibration training, base rates, scope sensitivity, and power laws. This course uses Python as its primary computing language; details are determined by the instructor.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
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