Spring 2025
STAT 153 001 - LEC 001
Introduction to Time Series
Adityanand Guntuboyina
Class #:22845
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Statistics
Current Enrollment
Total Open Seats:
-8
Enrolled: 64
Waitlisted: 0
Capacity: 56
Waitlist Max: 20
Open Reserved Seats:
2 reserved for Statistics Majors
Hours & Workload
2 hours of instructional experiences requiring special laboratory equipment and facilities per week, 7 hours of outside work hours per week, and 3 hours of instructor presentation of course materials per week.
Final Exam
FRI, MAY 16TH
07:00 pm - 10:00 pm
Latimer 120
Other classes by Adityanand Guntuboyina
Course Catalog Description
An introduction to time series analysis in the time domain and spectral domain. Topics will include: estimation of trends and seasonal effects, autoregressive moving average models, forecasting, indicators, harmonic analysis, spectra. This course uses either R or Python as its primary computing language, as determined by the instructor.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
Current Enrollment
Open Reserved Seats:
2 reserved for Statistics Majors
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials