Note: This is the 2019鈥�2020 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Program Requirements
Mentor: Professor A. Hundemer; Department of Mathematics and Statistics, Faculty of Science.
All BCom students take a Core curriculum in addition to this Major.
Students entering the Major Concentration in Mathematics 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 (63 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 2019, Winter 2020
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 2019, Winter 2020, Summer 2020
Instructors: Oh, Seunghwan; Tan, Hongping; Levy, Philippe (Fall) Lee, Dongyoung (Winter) Zheng, Yaping (Summer)
Continuing Studies: requirement for CMA, CGA, the EA of AACI, and the Institute of Internal Auditors
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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 2019, Winter 2020, Summer 2020
Instructors: Westgate, Chantal; Jaeger, Alfred M; Ferguson, John-Paul; Reyt, Jean-Nicolas (Fall) Westgate, Chantal; Dakhlallah, Diana; Al Hajj, Raghid (Winter) Jaeger, Alfred M (Summer)
Continuing Studies: requirement for CMA, CGA, the EA of AACI, and the Institute of Internal Auditors
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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 2019, Winter 2020, Summer 2020
Instructors: Sidthidet, Taweewan; Sheikholeslami Salmasi, K; Nizami, Tariq (Fall) Sidthidet, Taweewan (Winter) Sidthidet, Taweewan (Summer)
Restrictions: Not for credit for students who have taken or are taking any of the following: ECON 208, ECON 230D1/D2 and ECON 250D1/D2.
Continuing Studies: requirement for CMA, CGA, the EA of AACI, and the CRA
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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 2019, Winter 2020, Summer 2020
Instructors: Teimourzadeh, Aria; Forman, Stuart A (Fall) Teimourzadeh, Aria; Kandakoglu, Ahmet (Winter) Gorthi, Sai Soundarya (Summer)
Prerequisite (Continuing Studies): CMSC 101 Mathematical Tools for Management Professionals or equivalent Basic computer skills including DOS, Spreadsheets and Word-processing and Database.
Restriction: Fall sections restricted to BCom students
Continuing Studies: requirement for the Institute of Internal Auditors, CMA, CGA
A special seminar will be available to those students who do not possess the above basic computer skills, at the students' own expense.
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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 2019, Winter 2020, Summer 2020
Instructors: di Pietro, Vadim (Fall) di Pietro, Vadim; Madan, Sujata (Winter) di Pietro, Vadim (Summer)
Corequisite: MGCR 271 or equivalent
Continuing Studies: requirement for CMA, CGA, the EA of AACI, and the Institute of Internal Auditors
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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 2019, Winter 2020, Summer 2020
Instructors: Etemad, Hamid; Kim, Hee Ryung; Soroka, Robert H S (Fall) Lu, Yi; Yang, Nathan; Sarigollu, Emine; Mackalski, Robert (Winter) Li, Wanyu; Haruvy, Ernan (Summer)
Continuing Studies: requirement for the Institute of Internal Auditors, and the Canadian Institute of Management
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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 2019, Winter 2020, Summer 2020
Instructors: Holmgren, Lindsay; Whelan, Glen; Moyal, Jonathan; Kim, Hyun Seung Anna (Fall) Mantere, Saku; Karunakaran, Arvind; Jorgensen, Jan J; Holmgren, Lindsay; Whelan, Glen (Winter) Whelan, Glen; Holmgren, Lindsay (Summer)
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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 2019, Winter 2020, Summer 2020
Instructors: Jorgensen, Jan J; Melville, Donald (Fall) Melville, Donald; J眉rgens, Hermann (Winter) Jorgensen, Jan J; Melville, Donald; Madan, Sujata (Summer)
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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 2019, Winter 2020, Summer 2020
Instructors: Corritore, Matthew; Melville, Donald; Moore, Karl James; Vit, Gregory Bryan (Fall) An, Kwangjun; Vit, Gregory Bryan; Renno, Wadih (Winter) Mandelos, Billy (Summer)
Restriction: Open to U2, U3 students only
Continuing Studies: requirement for CMA, CGA, the Institute of Internal Auditors, and the Canadian Institute of Management - in addition to these, the course "Introduction to Business," CGMG 282 is also required for C.I.M.
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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 2019, Winter 2020, Summer 2020
Instructors: Li, Shanling; Talla, Malleswara (Fall) Ding, Yichuan (Daniel); Hariss, Rim; Cohen, Maxime (Winter) Jalali, Zahra; Ding, Yichuan (Daniel) (Summer)
Prerequisite: MGCR 271 or equivalent
Requirement for the Canadian Institute of Management
Major (30 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 2019, Winter 2020, Summer 2020
Instructors: Macdonald, Jeremy; Causley, Broderick (Fall) Fortier, J茅r么me (Winter) Fortier, J茅r么me (Summer)
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MATH 235 Algebra 1 (3 credits)
Overview
Mathematics & Statistics (Sci) : Sets, functions and relations. Methods of proof. Complex numbers. Divisibility theory for integers and modular arithmetic. Divisibility theory for polynomials. Rings, ideals and quotient rings. Fields and construction of fields from polynomial rings. Groups, subgroups and cosets; group actions on sets.
Terms: Fall 2019
Instructors: Wise, Daniel (Fall)
Fall
3 hours lecture; 1 hour tutorial
Prerequisite: MATH 133 or equivalent
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MATH 236 Algebra 2 (3 credits)
Overview
Mathematics & Statistics (Sci) : Linear equations over a field. Introduction to vector spaces. Linear mappings. Matrix representation of linear mappings. Determinants. Eigenvectors and eigenvalues. Diagonalizable operators. Cayley-Hamilton theorem. Bilinear and quadratic forms. Inner product spaces, orthogonal diagonalization of symmetric matrices. Canonical forms.
Terms: Winter 2020
Instructors: Nica, Bogdan; Hurtubise, Jacques Claude (Winter)
Winter
Prerequisite: MATH 235
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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 2019
Instructors: Vetois, Jerome (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 2020
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 2019, Winter 2020
Instructors: Roth, Charles (Fall) McGregor, Geoffrey; Hurtubise, Jacques Claude (Winter)
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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 2019, Winter 2020, Summer 2020
Instructors: Nave, Jean-Christophe (Fall) B茅langer-Rioux, Rosalie (Winter) Roth, Charles (Summer)
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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 2019, Winter 2020, Summer 2020
Instructors: Correa, Jose Andres; Alam, Shomoita (Fall) Kelome, Djivede; Wolfson, David B (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 2019, Winter 2020
Instructors: Asgharian-Dastenaei, Masoud (Fall) Luo, Yu; Hurtubise, Jacques Claude (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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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 2019
Instructors: Smith, Brian E (Fall)
Complementary Courses (9 credits)
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 2020
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 316 Complex Variables (3 credits)
Overview
Mathematics & Statistics (Sci) : Algebra of complex numbers, Cauchy-Riemann equations, complex integral, Cauchy's theorems. Taylor and Laurent series, residue theory and applications.
Terms: Fall 2019
Instructors: Pym, Brent (Fall)
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MATH 317 Numerical Analysis (3 credits)
Overview
Mathematics & Statistics (Sci) : Error analysis. Numerical solutions of equations by iteration. Interpolation. Numerical differentiation and integration. Introduction to numerical solutions of differential equations.
Terms: Fall 2019
Instructors: Bartello, Peter (Fall)
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MATH 319 Introduction to Partial Differential Equations (3 credits)
Overview
Mathematics & Statistics (Sci) : First order equations, geometric theory; second order equations, classification; Laplace, wave and heat equations, Sturm-Liouville theory, Fourier series, boundary and initial value problems.
Terms: Winter 2020
Instructors: Laborde, Maxime; Hurtubise, Jacques Claude (Winter)
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MATH 326 Nonlinear Dynamics and Chaos (3 credits)
Overview
Mathematics & Statistics (Sci) : Linear systems of differential equations, linear stability theory. Nonlinear systems: existence and uniqueness, numerical methods, one and two dimensional flows, phase space, limit cycles, Poincare-Bendixson theorem, bifurcations, Hopf bifurcation, the Lorenz equations and chaos.
Terms: Fall 2019
Instructors: Humphries, Antony Raymond (Fall)
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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 2020
Instructors: Fortier, J茅r么me (Winter)
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MATH 407 Dynamic Programming (3 credits)
Overview
Mathematics & Statistics (Sci) : Sequential decision problems, resource allocation, transportation problems, equipment replacement, integer programming, network analysis, inventory systems, project scheduling, queuing theory calculus of variations, markovian decision processes, stochastic path problems, reliability, discrete and continuous control processes.
Terms: This course is not scheduled for the 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 academic year.
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MATH 410 Majors Project (3 credits)
Overview
Mathematics & Statistics (Sci) : A supervised project.
Terms: Fall 2019, Winter 2020, Summer 2020
Instructors: Kelome, Djivede; Steele, Russell; Neslehova, Johanna; Wolfson, David B; Humphries, Antony Raymond (Fall) Kelome, Djivede; Yang, Yi; Humphries, Antony Raymond; Oberman, Adam; Steele, Russell; Stephens, David (Winter) Kelome, Djivede; Asgharian-Dastenaei, Masoud (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 417 Linear Optimization (3 credits)
Overview
Mathematics & Statistics (Sci) : An introduction to linear optimization and its applications: Duality theory, fundamental theorem, sensitivity analysis, convexity, simplex algorithm, interior-point methods, quadratic optimization, applications in game theory.
Terms: Fall 2019
Instructors: Nguyen, Van Quang; Hurtubise, Jacques Claude (Fall)
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MATH 423 Applied RegressionApplied Regression (3 credits) ***
Overview
Mathematics & Statistics (Sci) : Least-squares estimators and their properties. Analysis of variance. Linear models with general covariance. Multivariate normal and chi-squared distributions; quadratic forms. General linear hypothesis: F-test and t-test. Prediction and confidence intervals. Transformations and residual plot. Balanced designs.
Terms: Fall 2019
Instructors: Yang, Yi (Fall)
3 credits selected from:
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MGSC 372 Advanced Business Statistics (3 credits) ***
Overview
Management Science : A practical managerial approach to advanced simple and multiple regression analysis, with application in finance, economics and business, including a review of probability theory, an introduction to methods of least squares and maximum likelihood estimation, autoregressive forecasting models and analysis of variance.
Terms: Fall 2019, Winter 2020, Summer 2020
Instructors: Smith, Brian E (Fall) Talla, Malleswara (Winter) Smith, Brian E (Summer)
Prerequisite: MGCR 271
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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 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 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 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 academic year.
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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 2020
Instructors: Talla, Malleswara (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.
*** MGSC 372 and MATH 423 cannot both be taken for program credit.
