Major Concentration Statistics for Management Students (72 credits)

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Offered by: Management     Degree: Bachelor of Commerce

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)

  • ECON 295 Macroeconomic Policy (3 credits)

    Offered by: Economics (Faculty of Arts)

    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: Winter 2018

    Instructors: Mayssun El-Attar Vilalta, Moshe Lander (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

  • MGCR 211 Introduction to Financial Accounting (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Ralph Cecere, Hongping Tan, Kevin Paul Parent, Seunghwan Oh (Fall) Dongyoung Lee, Kevin Paul Parent (Winter) Kevin Paul Parent, Ming Liu (Summer)

    • Continuing Studies: requirement for CMA, CGA, the EA of AACI, and the Institute of Internal Auditors

  • MGCR 222 Introduction to Organizational Behaviour (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Chantal Westgate, Alfred M Jaeger, Sharyn Sepinwall, Maya Sharma, Nathalie-Michele Sylvain (Fall) Chantal Westgate, Maya Sharma, Katherine Malo, Raghid Al Hajj, Mallika Banerjee (Winter) Mallika Banerjee, Chantal Westgate (Summer)

    • Continuing Studies: requirement for CMA, CGA, the EA of AACI, and the Institute of Internal Auditors

  • MGCR 293 Managerial Economics (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Taweewan Sidthidet, K Sheikholeslami Salmasi, Tariq Nizami (Fall) Taweewan Sidthidet, K Sheikholeslami Salmasi (Winter) K Sheikholeslami Salmasi (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

  • MGCR 331 Information Systems (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Richard George Donovan, Graham H Thorpe (Fall) Richard George Donovan, Warut Khern-am-nuai, Graham H Thorpe, Junyi Yang (Winter) Ghazaleh Aghili Dehkordi (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.

  • MGCR 341 Introduction to Finance (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Adolfo De Motta, Minh Quy Truong (Fall) Vadim di Pietro, Minh Quy Truong (Winter) Vadim di Pietro (Summer)

    • Corequisite: MGCR 271 or equivalent

    • Continuing Studies: requirement for CMA, CGA, the EA of AACI, and the Institute of Internal Auditors

  • MGCR 352 Principles of Marketing (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Hamid Etemad, Thomas Dotzel, DaHee Han, Mary Dellar, Hee Ryung Kim (Fall) Yi Lu, Nathan Yang, Charles Royce, Robert H S Soroka (Winter) Mary Dellar, June Soo Lee (Summer)

    • Continuing Studies: requirement for the Institute of Internal Auditors, and the Canadian Institute of Management

  • MGCR 360 Social Context of Business (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Nii Antiaye Addy, Lindsay Holmgren, Glen Whelan, Stephane Ethier (Fall) Saku Mantere, Lindsay Holmgren, Jan J Jorgensen, Stephane Ethier, Glen Whelan (Winter) Glen Whelan (Summer)

  • MGCR 382 International Business (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018

    Instructors: Jan J Jorgensen, Donald Melville, John Saba (Fall) John Saba, Donald Melville, Nicholas Matziorinis (Winter)

  • MGCR 423 Strategic Management (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Gregory Bryan Vit, Donald Melville, Karl James Moore, John Gradek, Stephane Ethier, Billy Mandelos, Anita Nowak (Fall) Gregory Bryan Vit, Kwangjun An, John Gradek, Billy Mandelos, Imane Tabbara (Winter) Atefeh Ramezankhani, Christian Keen Henon (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.

  • MGCR 472 Operations Management (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017, Winter 2018, Summer 2018

    Instructors: Pouya Ebrahimi, Kenneth MacKenzie (Fall) Brian E Smith, Beste Kucukyazici, Shanling Li, Zafer Yilmaz (Winter) Elcin Ergin (Summer)

    • Prerequisite: MGCR 271 or equivalent

    • Requirement for the Canadian Institute of Management

Major (27 credits)

  • MATH 222 Calculus 3 (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2017, Winter 2018, Summer 2018

    Instructors: Stephen W Drury, Niko Laaksonen (Fall) Stephen W Drury (Winter) Ibrahim Al Balushi (Summer)

  • MATH 223 Linear Algebra (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2017, Winter 2018

    Instructors: Bogdan Lucian Nica (Fall) Djivede Kelome (Winter)

    • Fall and Winter

    • Prerequisite: MATH 133 or equivalent

    • Restriction: Not open to students in Mathematics programs nor to students who have taken or are taking MATH 236, MATH 247 or MATH 251. It is open to students in Faculty Programs

  • MATH 242 Analysis 1 (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2017

    Instructors: Jerome Vetois (Fall)

    • Fall

    • Prerequisite: MATH 141

    • Restriction(s): Not open to students who are taking or who have taken MATH 254.

  • MATH 243 Analysis 2 (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2018

    Instructors: Axel W Hundemer (Winter)

  • MATH 314 Advanced Calculus (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2017, Winter 2018

    Instructors: Stephen W Drury (Fall) Charles Roth (Winter)

  • MATH 323 Probability (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2017, Winter 2018, Summer 2018

    Instructors: David B Wolfson (Fall) Chien-Lin Su (Winter) Djivede Kelome (Summer)

    • Prerequisites: MATH 141 or equivalent.

    • Restriction: Intended for students in Science, Engineering and related disciplines, who have had differential and integral calculus

    • Restriction: Not open to students who have taken or are taking MATH 356

  • MATH 324 Statistics (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    Overview

    Mathematics & Statistics (Sci) : Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference.

    Terms: Fall 2017, Winter 2018

    Instructors: Abbas Khalili Mahmoudabadi (Fall) Masoud Asgharian-Dastenaei (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.

  • MATH 423 Regression and Analysis of Variance (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2017

    Instructors: Yi Yang (Fall)

  • MGSC 373 Operations Research 1 (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017

    Instructors: Brian E Smith (Fall)

    • Prerequisite: MGCR 271

    • Prerequisite (Continuing Studies): MGCR 273

    • Restriction: Not open to students who have taken MGCR 373

    • Continuing Studies: CMA Requirement

Complementary Courses (12 credits)

6 credits selected from:

  • MGSC 479 Applied Optimization (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017-2018 academic year.

    Instructors: There are no professors associated with this course for the 2017-2018 academic year.

  • MGSC 575 Applied Time Series Analysis Managerial Forecasting (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2017-2018 academic year.

    Instructors: There are no professors associated with this course for the 2017-2018 academic year.

    • Prerequisite (Undergraduate): MGCR 271.

    • Restriction: Not open to students who have taken MGSC 675.

  • MGSC 578 Simulation of Management Systems (3 credits)

    Offered by: Management (Desautels Faculty of Management)

    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 2018

    Instructors: Alexandre Ouellet (Winter)

    • Prerequisite: (Undergraduate) MGCR 271.

    • Restriction: Not open to students who have taken MGSC 678.

6 credits selected from:

  • MATH 204 Principles of Statistics 2 (3 credits) **

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2018

    Instructors: Russell Steele (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.

  • MATH 315 Ordinary Differential Equations (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    Overview

    Mathematics & Statistics (Sci) : First order ordinary differential equations including elementary numerical methods. Linear differential equations. Laplace transforms. Series solutions.

    Terms: Fall 2017, Winter 2018, Summer 2018

    Instructors: Jean-Christophe Nave (Fall) Jean-Philippe Lessard (Winter) Charles Roth (Summer)

    • Prerequisite: MATH 222.

    • Corequisite: MATH 133.

    • Restriction: Not open to students who have taken or are taking MATH 325.

  • MATH 340 Discrete Structures 2 (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    Overview

    Mathematics & Statistics (Sci) : Review of mathematical writing, proof techniques, graph theory and counting. Mathematical logic. Graph connectivity, planar graphs and colouring. Probability and graphs. Introductory group theory, isomorphisms and automorphisms of graphs. Enumeration and listing.

    Terms: Winter 2018

    Instructors: Sergey Norin (Winter)

  • MATH 410 Majors Project (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    Overview

    Mathematics & Statistics (Sci) : A supervised project.

    Terms: Fall 2017, Winter 2018, Summer 2018

    Instructors: Djivede Kelome, Abbas Khalili Mahmoudabadi, Jean-Christophe Nave, David Stephens, Yi Yang (Fall) Djivede Kelome, Yi Yang, Russell Steele (Winter) Djivede Kelome, David Stephens (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.

  • MATH 447 Introduction to Stochastic Processes (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2018

    Instructors: Russell Steele (Winter)

    • Winter

    • Prerequisite: MATH 323

    • Restriction: Not open to students who have taken or are taking MATH 547.

  • MATH 523 Generalized Linear Models (4 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    Overview

    Mathematics & Statistics (Sci) : Modern discrete data analysis. Exponential families, orthogonality, link functions. Inference and model selection using analysis of deviance. Shrinkage (Bayesian, frequentist viewpoints). Smoothing. Residuals. Quasi-likelihood. Contingency tables: logistic regression, log-linear models. Censored data. Applications to current problems in medicine, biological and physical sciences. R software.

    Terms: Winter 2018

    Instructors: Johanna Neslehova (Winter)

    • Winter

    • Prerequisite: MATH 423

    • Restriction: Not open to students who have taken MATH 426

  • MATH 524 Nonparametric Statistics (4 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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 2017

    Instructors: Christian Genest (Fall)

    • Fall

    • Prerequisite: MATH 324 or equivalent

    • Restriction: Not open to students who have taken MATH 424

  • MATH 525 Sampling Theory and Applications (4 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    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: This course is not scheduled for the 2017-2018 academic year.

    Instructors: There are no professors associated with this course for the 2017-2018 academic year.

    • Prerequisite: MATH 324 or equivalent

    • Restriction: Not open to students who have taken MATH 425

** 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.

Desautels Faculty of Management—2017-2018 (last updated Aug. 23, 2017) (disclaimer)