Time Series and Forecasting
Statistics · 3 hrs Lecture
Offering schedule: contact department
The calendar doesn't say which term this runs in. The sections below show the terms it actually runs in this year.
STAT-3105 prerequisites
8 courses appear in this chain, up to 3 levels deep. 2 are needed whichever route you take: MATH-1201 → STAT-3103
Show the chainHide the chain
Add your completed courses to see which of these you've already done and what you could take next. They stay on this device.
Where STAT-3105 counts
Counts toward 1 more as one option among several, not as a course you must take:
- STAT 3-YEAR BA/BSc IN STATISTICS
Read from the departments' own calendar pages, where 71 of 141 programs are only partly machine-readable, so treat these as a minimum rather than the full list. Confirm with an academic advisor.
Description
The course deals with the general problem of analysing data which is ordered over time, for the purpose of forecasting and statistical prediction. Such data do not represent an independent sample and thus can not be analyzed using other statistical methods. Topics include trend analysis, smoothing by moving averages, seasonal indices; forecasting using exponential smoothing and Box-Jenkins models.
Requisite courses
STAT-3103 [prerequisite(s)].
Restrictions
Students may not hold credit for this course and STAT-2601.
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.