Academic Calendar - 2024

Western University Academic Calendar. - 2024

Courses


Course Numbering

0001-0999* Pre-University level introductory courses
1000-1999 Year 1 courses
2000-4999 Senior-level undergraduate courses
5000-5999 Professional Degree courses in Dentistry, Education, Law, Medicine and Theology (MTS, MDiv)
6000-6999 Courses offered by Continuing Studies
9000-9999 Graduate Studies courses

* These courses are equivalent to pre-university introductory courses and may be counted for credit in the student's record, unless these courses were taken in a preliminary year. They may not be counted toward essay or breadth requirements, or used to meet modular admission requirements unless it is explicitly stated in the Senate-approved outline of the module.


Suffixes

no suffix 1.0 course not designated as an essay course
A 0.5 course offered in first term
B 0.5 course offered in second term
A/B 0.5 course offered in first and/or second term
E 1.0 essay course
F 0.5 essay course offered in first term
G 0.5 essay course offered in second term
F/G 0.5 essay course offered in first and/or second term
H 1.0 accelerated course (8 weeks)
J 1.0 accelerated course (6 weeks)
K 0.75 course
L 0.5 graduate course offered in summer term (May - August)
Q/R/S/T 0.25 course offered within a regular session
U 0.25 course offered in other than a regular session
W/X 1.0 accelerated course (full course offered in one term)
Y 0.5 course offered in other than a regular session
Z 0.5 essay course offered in other than a regular session

Glossary


Prerequisite

A course that must be successfully completed prior to registration for credit in the desired course.


Corequisite

A course that must be taken concurrently with (or prior to registration in) the desired course.


Antirequisite

Courses that overlap sufficiently in course content that both cannot be taken for credit.


Essay Courses

Many courses at Western have a significant writing component. To recognize student achievement, a number of such courses have been designated as essay courses and will be identified on the student's record (E essay full course; F/G/Z essay half-course).


Principal Courses

A first year course that is listed by a department offering a module as a requirement for admission to the module. For admission to an Honours Specialization module or Double Major modules in an Honours Bachelor degree, at least 3.0 courses will be considered principal courses.



Campus





Course Level






Course Type




Analytics and Decision Sciences


Predictive analytics for business, accounting, and marketing with emphasis on multiple regression models, inference for regression parameters, categorical independent variables, model assumptions and diagnostics, goodness of fit and test of independence, analysis of variance for one factor and multiple factor designs, and model selection and validation.


Prerequisite(s): Economics 2122A/B or Economics 2222A/B, or permission of the department.

Extra Information: 3 lecture hours, 2 laboratory hours.

Course Weight: 0.50
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Topics include computational linear algebra, numerical optimization, simulation, use of IDEs, and display of statistical data.

Antirequisite(s): Statistics 2864A/B, Data Science 1200A/B.


Extra Information: 3 lecture hours, 2 lab hours.

Course Weight: 0.50
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Decision analysis, linear programming, integer programming, statistical distributions, Markov chains, Monte Carlo simulation, queuing, discrete event simulation. Students will use a variety of tools to investigate applications including transportation networks, revenue management, production scheduling and sports analytics.


Prerequisite(s): 0.5 course from Analytics and Decision Sciences 2288A/B, Data Science 1200A/B, or Statistical Sciences 2864A/B; and 1.0 courses from any 1000-level courses in Applied Mathematics, Calculus, Mathematics, Numerical and Mathematical Methods, and/or Statistical Sciences. Pre-or Corequisite(s): 0.5 course from: Economics 2122A/B, Economics 2222A/B, Statistical Sciences 2035, Statistical Sciences 2141A/B, Statistical Sciences 2857A/B, or by permission of the School of Management, Economics, and Mathematics.

Extra Information: 3 lecture hours, 2 lab hours.

Course Weight: 0.50
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Topics to be posted by the School.

Prerequisite(s): Economics 2222A/B, Statistical Sciences 2035, or Statistical Sciences 2857A/B, or permission of the School of Management, Economics, and Mathematics.

Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
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Topics to be posted by the School.

Prerequisite(s): Economics 2222A/B, Statistical Sciences 2035, or Statistical Sciences 2857A/B, or permission of the School of Management, Economics, and Mathematics.

Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
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Topics to be posted by the School.

Prerequisite(s): Economics 2222A/B, Statistical Sciences 2035, or Statistical Sciences 2857A/B, or permission of the School of Management, Economics, and Mathematics.

Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
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Topics to be posted by the School.

Prerequisite(s): Economics 2222A/B, Statistical Sciences 2035, or Statistical Sciences 2857A/B, or permission of the School of Management, Economics, and Mathematics.

Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
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Stochastic optimization modelling, decision making under uncertainty, simulation modelling, regression and forecasting models, and sensitivity analysis.


Extra Information: 3 lecture hours, 1 lab hour.

Course Weight: 0.50
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Topics to be posted by the School.


Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
Return to top
Topics to be posted by the School.


Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
Return to top
Topics to be posted by the School.


Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
Return to top
Topics to be posted by the School.


Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
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Statistical programming in a high-level language, data visualization design principles, extracting insights from data visualization, data mining and machine learning, data classification; visualization of multivariate, time-series, and hierarchical data.

Prerequisite(s): 0.5 course from Analytics and Decision Sciences 2288F/G or Statistics 2864A/B; and 1.0 course from Economics 2122A/B, Economics 2222A/B, Economics 2123A/B, Economics 2223A/B or Analytics and Decision Sciences 2036A/B, Statistical Sciences 2035, Statistical Sciences 2857A/B, Statistical Sciences 2858A/B; or by permission of the School of Management, Economics, and Mathematics.

Extra Information: 3 lecture hours, 2 lab hours.

Course Weight: 0.50
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Practical analytics and software tools explored through case analyses. Linear programming, statistical analysis, decision analysis, game theory, inventory analysis, queuing theory, simulation, Markovian decision model, and forecasting will be applied in a variety of scenarios.


Extra Information: 3 hours, 1 lab hour.

Course Weight: 0.50
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Approaches for solving complex problems are learned and then applied to a group-based analytics consulting project done in collaboration with a not-for-profit, educational, private, or government partner.

Prerequisite(s): Completion of Philosophy 2293A/B.

Extra Information: 3 hours.

Course Weight: 0.50
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Topics to be posted by School.


Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
Return to top
Topics to be posted by School.


Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
Return to top
Topics to be posted by School.


Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
Return to top
Topics to be posted by School.


Extra Information: 3 lecture hours. Students may not count more than 1.0 special topics course in Analytics and Decision Sciences toward a degree without special permission from the School of Management, Economics, and Mathematics.

Course Weight: 0.50
More details
Return to top