Subject: Commerce
Credit units: 3
Offered: Term 1 only
Weekly hours: 2.5 Lecture hours and .5 Seminar/Discussion hours
College: Edwards School of Business
Department: Finance and Management Science


The process of business forecasting involves the study of historical data to discover their underlying tendencies and patterns and the use of this knowledge to project the data into future time periods. Topic areas include moving averages and exponential smoothing methods, simple and multiple regression analysis, time series analysis, and Box-Jenkins (ARIMA) methodology. Each module is accompanied with a computer lab class where students get hands on experience in applying the associated forecasting technique. An important component of the course is a forecasting project where students choose a variable of interest and forecast it by applying the methods taught in the lectures and lab classes.

Permission of the department required.
Prerequisite(s): COMM 207.3.

Upcoming class offerings

For full details about upcoming courses, refer to the class search tool or, if you are a current student, the registration channel in PAWS.


The syllabus is a public document that provides detail about a class, such as the schedule of activities, learning outcomes, and weighting of assignments and examinations.

Once an instructor has made their syllabus publicly available on USask’s Learning Management System, it will appear below. Please note that the examples provided below do not represent a complete set of current or previous syllabus material. Rather, they are presented solely for the purpose of indicating what may be required for a given class. Unless otherwise specifically stated on the content, the copyright for all materials in each course belongs to the instructor whose name is associated with that course. The syllabus is the intellectual property of instructors or the university.

For more information, visit the Academic Courses Policy , the Syllabus page for instructors , or for students your Academic Advising office.