Note: This is the 2020–2021 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Program Requirements
Mentor: Professor R. Steele; Department of Mathematics and Statistics, Faculty of Science
All B.Com. students take a Core curriculum in addition to this Major.
Students entering the Major concentration in Statistics are normally expected to have completed MATH 133, MATH 140, and MATH 141 or their equivalents. Otherwise they will be required to make up any deficiencies in these courses over and above the 39 credits required by the program.
Required Courses (60 credits)
Management Core (33 credits)
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ECON 295 Macroeconomic Policy (3 credits)
Overview
Economics (Arts) : This applied macroeconomics course focuses on current and recurrent macroeconomic issues important in understanding the public policy environment in which firms make their decisions. Topics include national accounts; national income determination; economic growth and fluctuations; money, monetary policy and financial markets; international trade and finance.
Terms: Fall 2020, Winter 2021
Instructors: Lander, Moshe (Fall) El-Attar Vilalta, Mayssun; Lander, Moshe (Winter)
Corequisite: MGCR 293
Restriction: For B.Com. students
Restriction: Not open to students who have taken or are taking ECON 209, ECON 330D1/D2 or ECON 352D1/D2.
Continuing Studies: requirement for CMA, CGA, I.C.B., the EA of AACI, and the CRA
Continuing Studies: not open to full-time day students
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MGCR 211 Introduction to Financial Accounting (3 credits)
Overview
Management Core : The role of financial accounting in the reporting of the financial performance of a business. The principles, components and uses of financial accounting and reporting from a user's perspective, including the recording of accounting transactions and events, the examination of the elements of financial statements, the preparation of financial statements and the analysis of financial results.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Oh, Seunghwan; Tsang, Desmond; Marginson, Melissa; Cecere, Ralph (Fall) Lee, Dongyoung; Ma, Guang (Winter) Joshi, Preetika (Summer)
Restriction: Not open to U0 students.
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MGCR 222 Introduction to Organizational Behaviour (3 credits)
Overview
Management Core : Individual motivation and communication style; group dynamics as related to problem solving and decision making, leadership style, work structuring and the larger environment. Interdependence of individual, group and organization task and structure.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Westgate, Chantal; Reyt, Jean-Nicolas; Ferguson, John-Paul; Blanchette, Simon (Fall) Dakhlallah, Diana; Galperin, Roman; Reyt, Jean-Nicolas; Mahabadi, Sara (Winter) Westgate, Chantal (Summer)
Restriction: Not open to U0 students.
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MGCR 293 Managerial Economics (3 credits)
Overview
Management Core : The course focuses on the application of economic theory to management problems and the economic foundations of marketing, finance, and production. Attention is given to the following topics: price and cost analysis; demand and supply analysis, conditions of competition.
Terms: Fall 2020, Winter 2021
Instructors: Sidthidet, Taweewan; Sheikholeslami Salmasi, K; NIZAMI, TARIQ (Fall) Sidthidet, Taweewan (Winter)
Restriction: Not open to U0 students. Not open to students who have taken or are taking ECON 208, ECON 230D1/D2, or ECON 250D1/D2.
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MGCR 331 Information Systems (3 credits)
Overview
Management Core : Introduction to principles and concepts of information systems in organizations. Topics include information technology, transaction processing systems, decision support systems, database and systems development. Students are required to have background preparation on basic micro computer skills including spreadsheet and word-processing.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Taherizadeh, Amir; Tanguay, Sol (Fall) Bassellier, Genevieve; Tanguay, Sol; Taherizadeh, Amir (Winter) BourghaniFarahani, Maryam (Summer)
Restriction: Not open to U0 students.
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MGCR 341 Introduction to Finance (3 credits)
Overview
Management Core : An introduction to the principles, issues, and institutions of Finance. Topics include valuation, risk, capital investment, financial structure, cost of capital, working capital management, financial markets, and securities.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: di Pietro, Vadim (Fall) di Pietro, Vadim; Madan, Sujata (Winter) di Pietro, Vadim (Summer)
Corequisite: MGCR 271 or equivalent
Restriction: Not open to U0 students.
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MGCR 352 Principles of Marketing (3 credits)
Overview
Management Core : Introduction to marketing principles, focusing on problem solving and decision making. Topics include: the marketing concept; marketing strategies; buyer behaviour; Canadian demographics; internal and external constraints; product; promotion; distribution; price. Lectures, text material and case studies.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Etemad, Hamid; White, Anwar; Doré, Bruce; Soroka, Robert (Fall) Han, DaHee; Lu, Yi; Sarigollu, Emine; Soroka, Robert (Winter) Roy, Arani (Summer)
Restrictions: Open to U1, U2, U3 students.
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MGCR 360 Social Context of Business (3 credits)
Overview
Management Core : This course examines how business interacts with the larger society. It explores the development of modern capitalist society, and the dilemmas that organizations face in acting in a socially responsible manner. Students will examine these issues with reference to sustainable development, business ethics, globalization and developing countries, and political activity.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Holmgren, Lindsay; David, Robert James; Whelan, Glen (Fall) Karunakaran, Arvind; Kim, Anna; Holmgren, Lindsay (Winter) Mohammadi, Hanieh (Summer)
Restriction: Open to U2 and U3 students.
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MGCR 382 International Business (3 credits)
Overview
Management Core : An introduction to the world of international business. Economic foundations of international trade and investment. The international trade, finance, and regulatory frameworks. Relations between international companies and nation-states, including costs and benefits of foreign investment and alternative controls and responses. Effects of local environmental characteristics on the operations of multi-national enterprises.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Jorgensen, Jan J; Melville, Donald (Fall) Melville, Donald; Jorgensen, Jan J; Jürgens, Hermann (Winter) Melville, Donald (Summer)
Restriction: Not open to U0 students.
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MGCR 423 Strategic Management (3 credits)
Overview
Management Core : An integrative and interdisciplinary introduction to strategy formation and execution. Concepts, tools, and practical application to understand how firms leverage resources and capabilities to gain competitive advantage in dynamic, contemporary industries. Strategic positioning, organizational design, and managerial action for the long-term success of businesses and positive social and ecological outcomes.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Corritore, Matthew; Melville, Donald; Moore, Karl; Vit, Gregory Bryan (Fall) An, Kwangjun; Vit, Gregory Bryan (Winter) Leone, Paolo Vincenzo (Summer)
Restriction: Open to U2, U3 students only
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MGCR 472 Operations Management (3 credits)
Overview
Management Core : Design, planning, establishment, control, and improvement of the activities/processes that create a firm's final products and/or services. The interaction of operations with other business areas will also be discussed. Topics include forecasting, product and process design, waiting lines, capacity planning, inventory management and total quality management.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Talla, Malleswara (Fall) Hariss, Rim; Cohen, Maxime; Gopalakrishnan, Sanjith (Winter) Hejazian, Hossein (Summer)
Prerequisite: MGCR 271 or equivalent
Restriction: Open to U1, U2, U3 students.
Major (27 credits)
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MATH 222 Calculus 3 (3 credits)
Overview
Mathematics & Statistics (Sci) : Taylor series, Taylor's theorem in one and several variables. Review of vector geometry. Partial differentiation, directional derivative. Extreme of functions of 2 or 3 variables. Parametric curves and arc length. Polar and spherical coordinates. Multiple integrals.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Fortier, Jérôme; Kelome, Djivede (Fall) Vetois, Jerome (Winter) Trudeau, Sidney (Summer)
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MATH 223 Linear Algebra (3 credits)
Overview
Mathematics & Statistics (Sci) : Review of matrix algebra, determinants and systems of linear equations. Vector spaces, linear operators and their matrix representations, orthogonality. Eigenvalues and eigenvectors, diagonalization of Hermitian matrices. Applications.
Terms: Fall 2020, Winter 2021
Instructors: Pichot, Michael (Fall) Abdenbi, Brahim (Winter)
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MATH 242 Analysis 1 (3 credits)
Overview
Mathematics & Statistics (Sci) : A rigorous presentation of sequences and of real numbers and basic properties of continuous and differentiable functions on the real line.
Terms: Fall 2020
Instructors: Hundemer, Axel W (Fall)
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MATH 243 Analysis 2 (3 credits)
Overview
Mathematics & Statistics (Sci) : Definition and properties of Riemann integral, Fundamental Theorem of Calculus, Taylor's theorem. Infinite series: alternating, telescoping series, rearrangements, conditional and absolute convergence, convergence tests. Power series and Taylor series. Elementary functions. Introduction to metric spaces.
Terms: Winter 2021
Instructors: Hundemer, Axel W (Winter)
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MATH 314 Advanced Calculus (3 credits)
Overview
Mathematics & Statistics (Sci) : Derivative as a matrix. Chain rule. Implicit functions. Constrained maxima and minima. Jacobians. Multiple integration. Line and surface integrals. Theorems of Green, Stokes and Gauss. Fourier series with applications.
Terms: Fall 2020, Winter 2021
Instructors: Roth, Charles (Fall) Toth, John A (Winter)
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MATH 323 Probability (3 credits)
Overview
Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Sajjad, Alia; Wolfson, David B (Fall) Wolfson, David B; Sajjad, Alia (Winter) Kelome, Djivede (Summer)
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MATH 324 Statistics (3 credits)
Overview
Mathematics & Statistics (Sci) : Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference.
Terms: Fall 2020, Winter 2021
Instructors: Asgharian, Masoud (Fall) Yang, Yi (Winter)
Fall and Winter
Prerequisite: MATH 323 or equivalent
Restriction: Not open to students who have taken or are taking MATH 357
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
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MATH 423 Applied Regression (3 credits)
Overview
Mathematics & Statistics (Sci) : Multiple regression estimators and their properties. Hypothesis tests and confidence intervals. Analysis of variance. Prediction and prediction intervals. Model diagnostics. Model selection. Introduction to weighted least squares. Basic contingency table analysis. Introduction to logistic and Poisson regression. Applications to experimental and observational data.
Terms: Fall 2020
Instructors: Yang, Yi (Fall)
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MGSC 373 Operations Research 1 (3 credits)
Overview
Management Science : A realistic experience of analytical models which have been successfully applied in several areas of managerial decision-making like marketing, finance and IS. Emphasis on the formulation of problems, their solution approaches, limitations, underlying assumptions and practical use. Topics include: decision analysis, project management, simulation, linear and integer programming, sensitivity analysis.
Terms: Fall 2020
Instructors: Smith, Brian E (Fall)
Prerequisite: MGCR 271
Complementary Courses (12 credits)
6 credits selected from:
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MGSC 479 Applied Optimization (3 credits)
Overview
Management Science : Applications of optimization models to management problems, including Linear Programming, Integer Programming and Nonlinear Programming.
Terms: This course is not scheduled for the 2020-2021 academic year.
Instructors: There are no professors associated with this course for the 2020-2021 academic year.
Prerequisite: MGSC 373.
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MGSC 575 Applied Time Series Analysis Managerial Forecasting (3 credits)
Overview
Management Science : Management applications of time series analysis. Starting with ratio-to-moving average methods, the course deals successively with Census 2, exponential smoothing methods, the methodology introduced by Box and Jenkins, spectral analysis and time-series regression techniques. Computational aspects and applications of the methodology are emphasized.
Terms: This course is not scheduled for the 2020-2021 academic year.
Instructors: There are no professors associated with this course for the 2020-2021 academic year.
Prerequisite (Undergraduate): MGCR 271.
Restriction: Open to U2 and U3 students.
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MGSC 578 Simulation of Management Systems (3 credits)
Overview
Management Science : Building simulation models of management systems. Design of simulation experiments and the analysis and implementation of results. Students are expected to design a complete simulation of a real problem using a standard simulation language.
Terms: Winter 2021
Instructors: Talla, Malleswara (Winter)
Prerequisite: (Undergraduate) MGCR 271.
Restriction: Open to U2 and U3 students.
6 credits selected from:
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MATH 204 Principles of Statistics 2 (3 credits) **
Overview
Mathematics & Statistics (Sci) : The concept of degrees of freedom and the analysis of variability. Planning of experiments. Experimental designs. Polynomial and multiple regressions. Statistical computer packages (no previous computing experience is needed). General statistical procedures requiring few assumptions about the probability model.
Terms: Winter 2021
Instructors: Genest, Christian (Winter)
Winter
Prerequisite: MATH 203 or equivalent. No calculus prerequisites
Restriction: This course is intended for students in all disciplines. For extensive course restrictions covering statistics courses see Section 3.6.1 of the Arts and of the Science sections of the calendar regarding course overlaps.
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
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MATH 315 Ordinary Differential Equations (3 credits)
Overview
Mathematics & Statistics (Sci) : First order ordinary differential equations including elementary numerical methods. Linear differential equations. Laplace transforms. Series solutions.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Paquette, Courtney (Fall) Shirazi, Mohammad (Winter) Roth, Charles (Summer)
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MATH 340 Discrete
Mathematics (3 credits)
Overview
Mathematics & Statistics (Sci) : Discrete Mathematics and applications. Graph Theory: matchings, planarity, and colouring. Discrete probability. Combinatorics: enumeration, combinatorial techniques and proofs.
Terms: Winter 2021
Instructors: Fortier, Jérôme (Winter)
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MATH 410 Majors Project (3 credits)
Overview
Mathematics & Statistics (Sci) : A supervised project.
Terms: Fall 2020, Winter 2021, Summer 2021
Instructors: Kelome, Djivede; Khadra, Anmar; Choksi, Rustum; Steele, Russell (Fall) Kelome, Djivede; Genest, Christian; Steele, Russell; Neslehova, Johanna; Bub, Gil; Khalili Mahmoudabadi, Abbas (Winter) Asgharian, Masoud; Kelome, Djivede; Sajjad, Alia; Yang, Yi (Summer)
Prerequisite: Students must have 21 completed credits of the required mathematics courses in their program, including all required 200 level mathematics courses.
Requires departmental approval.
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MATH 447 Introduction to Stochastic Processes (3 credits)
Overview
Mathematics & Statistics (Sci) : Conditional probability and conditional expectation, generating functions. Branching processes and random walk. Markov chains, transition matrices, classification of states, ergodic theorem, examples. Birth and death processes, queueing theory.
Terms: Winter 2021
Instructors: Paquette, Elliot (Winter)
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MATH 523 Generalized Linear Models (4 credits)
Overview
Mathematics & Statistics (Sci) : Exponential families, link functions. Inference and parameter estimation for generalized linear models; model selection using analysis of deviance. Residuals. Contingency table analysis, logistic regression, multinomial regression, Poisson regression, log-linear models. Multinomial models. Overdispersion and Quasilikelihood. Applications to experimental and observational data.
Terms: Winter 2021
Instructors: Neslehova, Johanna (Winter)
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MATH 524 Nonparametric Statistics (4 credits)
Overview
Mathematics & Statistics (Sci) : Distribution free procedures for 2-sample problem: Wilcoxon rank sum, Siegel-Tukey, Smirnov tests. Shift model: power and estimation. Single sample procedures: Sign, Wilcoxon signed rank tests. Nonparametric ANOVA: Kruskal-Wallis, Friedman tests. Association: Spearman's rank correlation, Kendall's tau. Goodness of fit: Pearson's chi-square, likelihood ratio, Kolmogorov-Smirnov tests. Statistical software packages used.
Terms: Fall 2020
Instructors: Wolfson, David B (Fall)
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MATH 525 Sampling Theory and Applications (4 credits)
Overview
Mathematics & Statistics (Sci) : Simple random sampling, domains, ratio and regression estimators, superpopulation models, stratified sampling, optimal stratification, cluster sampling, sampling with unequal probabilities, multistage sampling, complex surveys, nonresponse.
Terms: Winter 2021
Instructors: Steele, Russell (Winter)
** MATH 204 cannot be taken for credit after credit for MATH 324 has been obtained. The two courses can be taken concurrently. Students should consult the rules for credit for Statistics courses in the course overlap section.
