Summer 2024 Timetable

If you are planning to enrol in a graduate course at the Department of Statistical Sciences, we recommend you read through this page carefully. Please also note, that this course schedule is subject to changes. We will post changes and updates here, so check back frequently.


Enrolment Dates

Students Enroled at Our Department

Registration for the F Session starts at 6:00 am EST on Monday, April 4, 2022 for students enroled at the Department of Statistical Sciences only.

Students from Other Departments

Course enrolment for students from other departments will start on Wednesday, April 13, 2022. You will not be able to add courses before this date. To enrol in one of our graduate courses, you will have to...


Start and End Dates of Classes

Section Code

Classes Start

Classes End

F May 9, 2022 June 20, 2022
Y May 9, 2022 August 15, 2022
S July 4, 2022 August 15, 2022


For dates regarding university closures, course drop and registration deadlines, and tuition payment deadlines, please have a look at the School of Graduate Studies sessional dates calendar.


Course List Legend

  • F = a half-year course in the first term (September – December)
  • S = a half-year course in the second term (January– April)
  • Y = a full-year course (September – April)
  • (J) indicates a a cross-listed course (a joint graduate/undergraduate course)
  • M = Monday
  • T = Tuesday
  • W = Wednesday
  • R = Thursday
  • F = Friday
  • L0101 or L0201 = 9:00 am to 5:00 pm
  • L5101 = 5:00 pm onwards









2024 Summer Term Course Listings

You can also find a list of graduate courses on the School of Graduate Studies page for our department.



Title (Click for description)





Delivery Method

STA2202H (STA457H1)

An overview of methods and problems in the analysis of time series data. Topics include: descriptive methods, filtering and adjustment, spectral estimation, bivariate time series models.

The course will cover the following topics:

  • Theory of stationary processes, linear processes
  • Elements of inference in time domain with applications
  • Spectral representation of stationary processes
  • Elements of inference in frequency domain with applications
  • Theory of prediction (forecasting) with applications > ARMA processes, inference and forecasting
  • Non-stationarity and seasonality, ARIMA and SARIMA processes

Further topics, time permitting: multivariate models; GARCH models; state-space models

Course credit: 0.5 FCE

S L5101: MW6-9 MS Room Information available on ACORN Selvaratnam, Selvakkadunko In-person