Lecture
Time Series Analy & Forecastng
Course and term details
- Sequence
- 40
- Part of term
- OL
- Term
- Fall 2026
- Delivery
- Online-Asynchronous
- Delivery code
- I
- Linked section
- No
- Open section
- Yes
Fall 2026
LectureOnlineAadland, David MOnline · async
Section data from the UW course catalog via uwyoschedule. Confirm seats and meeting times in WyoWeb before you register.
Lecture
Schedule
Days TBD
08/31/2026 – 12/11/2026
No Meeting · LEC
Faculty
Aadland, David MPrimary
aadland@uwyo.edu
Seats
Course description
An applied introduction to time series and forecasting. Brief coverage of time series regression, decomposition methods, and smoothing will lead into a more detailed coverage of Box-Jenkins (ARIMA) modeling. Computer analysis using MINITAB and SAS will be an important part of the course. Dual listed with ECON 4115; cross listed with STAT 5115. Prerequisites: STAT 3050 or equivalent, STAT 4015/5015 recommended.
Section information
An applied introduction to time series and forecasting. Brief coverage of time series regression, decomposition methods, and smoothing will lead into a more detailed coverage of Box-Jenkins (ARIMA) modeling.
Credits
See every section of ECON5115? Open the course page. Want to plan a full week? Open the planner.