MGTSC - Management Science

Offered By:
Faculty of Business

Below are the courses available from the MGTSC subject code. Select a course to view the available classes, additional class notes, class times, and textbooks.

MGTSC 312 - Probability and Statistics for Business View Available Classes

★ 3 (fi 6)(EITHER, 3-0-1)

This course deals with model building, multiple regression analysis, and related methods useful in a business environment. Microcomputer software will be utilized throughout the course, with necessary computing skills being taught as the course proceeds. However, students are expected to already possess some basic familiarity with microcomputer applications. Prerequisite: STAT 151 or SCI 151. Credit will be granted for only one of MGTSC 312 and STAT 252.


MGTSC 352 - Operations Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-1)

A problem-solving course which introduces the student to deterministic and stochastic models which are useful for production planning and operations management in business and government. Note: Students are expected to have basic familiarity with microcomputer applications. Prerequisite: MATH 113 and MGTSC 301 or STAT 151.


MGTSC 404 - Decision Analysis View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course helps students deal systematically with decisions involving two or more parties with opposing interests. Decision trees and influence diagrams are used to model available strategies and weigh tradeoffs. Game-theoretic models for bidding, bargaining, and negotiation are examined and applied in case studies and simulations. Particular attention is paid to the effect of uncertainty and the strategic use of private information. Possible examples include labor negotiations, baseball salary arbitration, construction bidding, international boundary disputes, and environmental hazard location. Ethical and moral issues are discussed. Prerequisites: MGTSC 312, 352.


MGTSC 405 - Forecasting for Planners and Managers View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course is concerned with methods used to predict the uncertain nature of business trends in an effort to help managers make better decisions and plans. Such efforts often involve the study of historical data and manipulation of these data to search for patterns that can be effectively extrapolated to produce forecasts. This is a business statistics course that covers all aspects of business forecasting where the emphasis is on intuitive concepts and applications. Topics covered include the family of exponential smoothing methods, decomposition methods, dynamic regression methods, Box-Jenkins methods and judgmental forecasting methods (e.g. the Delphi method). Because forecasting is best taught through practice, the course contains numerous real, relevant, business oriented case studies and examples that students can use to practice the application of concepts. Prerequisites: MGTSC 312, MGTSC 352 or OM 352.


MGTSC 422 - Simulation and Computer Modelling Techniques in Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Computer modelling of management systems in such functional areas as accounting, finance, marketing and operations. Basic concepts of deterministic and probabilistic (Monte Carlo) simulation and their applications. Microcomputer implementation of case studies using spreadsheets particularly emphasized. Required term project. Prerequisites: MGTSC 312 (or equivalent STAT course), 352; and FIN 301 or ACCTG 311.


MGTSC 426 - Service Operations Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course introduces tools that managers can use to increase profits from operating decisions in service businesses and other service organizations. These decisions range from strategic (where to locate, what to sell) to tactical (how to schedule employees for the coming week). The course will emphasize realistic business projects and the use of easily available software tools. Examples of topics are models to describe and reduce congestion, work force scheduling heuristics, and selected marketing models. Prerequisites: MGTSC 312, 352.


MGTSC 455 - Quality Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

The objective of the course is to study and understand process and product variation, interactions among product and process variables, and ultimately to take action to reduce variation. The topics covered include statistical process control, design of experiment, factorial design, Taguchi's methods and cases, and applications of quality control in management. Prerequisites: MGTSC 312, ECON 101 or equivalents.


MGTSC 458 - Assessing National Economies View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course covers the statistics now commonly used by businesses, governments, labour and other collective bargaining units, social action groups, legal professionals, and the media to assess the performance of nations over time and in comparison with each other. This course helps students improve their skills for finding, obtaining, and using relevant raw data and statistics for assessing nations. Students also find, read and use studies of others that make use of data and statistics to assess the performance of nations. Prerequisite: MGTSC 312. Pre or corequisite: ECON 101.


MGTSC 461 - Distribution Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course will deal with the economically efficient distribution of goods and services from their points of creation to the customers. Topics will include strategic decisions, such as aggregate distribution plans and warehouse location, as well as operational decisions, such as selection of delivery routes and dispatching. This course has a significant microcomputer component. The potential of geographic-information-systems as a profit tool will be demonstrated. Prerequisite: MGTSC 312, 352.


MGTSC 467 - Analytical Techniques for Management Consulting View Available Classes

★ 3 (fi 6)(FIRST, 3-0-0)

This case-based course will cover the most popular analytical problem-solving techniques such as regression, simulation, and optimization. Topics will include inventory management, queueing, multiple regression, facility location, genetic algorithms, optimization on spreadsheets, capacity selection, process mapping, data analysis tools in spreadsheets, aggregate planning, and supply chain management. Guest speakers from the consulting sector will be invited to speak. Prerequisites: MGTSC 352 and another 400-level MGTSC or consent of Instructor.


MGTSC 468 - Quantitative Management Consulting Project View Available Classes

★ 3 (fi 6)(SECOND, 3-0-0)

This course applies the techniques developed in MGTSC 467 to a group project. The emphasis in the projects is on quantitative approaches to operational problems. Student groups will be assigned to consulting projects from businesses and other organizations in and near Edmonton. Groups will work on their projects under the supervision of the instructor(s). Prerequisites: MGTSC 467 or consent of Instructor.


MGTSC 471 - Decision Support Systems View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Decision support systems integrated with various management tools in a microcomputer environment. Programming language to be used is Visual Basic for Applications. Different multicriteria decision making tools such as the Analytic Hierarchy Process, Multiattribute Utility Theory, Goal Programming and Multiobjective Optimization are introduced. Students create decision support systems with graphical user interfaces that use a formal multicriteria decision-making front end as well as optimization, simulation or other appropriate engines for calculations in the background. Student projects in this implementation-oriented course will come from different areas such as employee scheduling, facility location, project/product selection and portfolio optimization. Prerequisites: MGTSC 312, 352.


MGTSC 488 - Selected Topics in Management Science View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Normally restricted to third- and fourth- year Business students. Prerequisites: MGTSC 312 or consent of Department. Additional prerequisites may be required.


MGTSC 495 - Individual Research Project I View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Special study for advanced undergraduates. Prerequisites: consent of Instructor and Assistant Dean, Undergraduate Program.


MGTSC 496 - Individual Research Project II View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Special Study for advanced undergraduates. Prerequisites: MGTSC 495, consent of the Instructor and Assistant Dean, Undergraduate Program.


MGTSC 497 - Individual Research Project III View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Special Study for advanced undergraduates. Prerequisites: MGTSC 496, consent of the Instructor and Assistant Dean, Undergraduate Program.


MGTSC 501 - Data Analysis and Decision Making View Available Classes

★ 3 (fi 6)(EITHER, 3-0-1)

This course begins with a survey of graphical and numerical techniques available for studying and describing data. Following an introduction to probability distributions, an overview of statistical inference for means and proportions is provided. Regression, analysis of variance and decision analysis are then utilized to analyze data and support decision making. Time series models are also briefly discussed. The data and decisions analyzed throughout the course will be representative of those commonly encountered by managers. During the required lab sessions, spreadsheet analysis of data, Monte Carlo simulation and the use of software for statistical analysis will be presented. Not open to students who have completed MGTSC 511 and MGTSC 521.


MGTSC 502 - Operations Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course focuses on (1) the competitive advantage that a business unit can derive from innovative and efficient production and delivery of its goods and services and on (2) analytical approaches that are useful in understanding and improving an organization's operations. Specific modules include process diagramming and analysis; measuring and managing flow times; inventory control and optimization; supply chain coordination and operations strategy. Cases will be used to illustrate operational efficiency and its significance to the profitability of a firm. Not open to students who have MGTSC 541. Prerequisite: MGTSC 501.


MGTSC 604 - Bargaining and Negotiation View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course is a blend of both experiential learning and theory with the objective of making the student more effective in all types of bargaining. A study of positive theories on how to improve negotiation skills will be combined with analytical models of the game theoretic structure of bargaining. Through this mix of theories and several case studies and bargaining exercises, students will see both the opportunities for joint gain (win-win) and the constraints which can lead to inferior outcomes. Prerequisites: First year MBA core courses.


MGTSC 626 - Service Operations Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course introduces tools that managers can use to increase profits from operating decisions in service businesses and other service organizations. These decisions range from strategic (where to locate, what to sell) to tactical (how to schedule employees for the coming week). The course will emphasize realistic business projects and the use of easily available software tools. Examples of topics are models to describe and reduce congestion, workforce scheduling heuristics, and selected marketing models. Prerequisites: MGTSC 502 or 541.


MGTSC 632 - Simulation and Computer Modelling Techniques in Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course will discuss computer modelling of management systems in such functional areas as accounting, finance, marketing, and production. Basic concepts of deterministic and probabilistic (Monte Carlo) simulation and their applications will also be covered. Micro computer implementations of case studies using spreadsheets will be particularly emphasized. A term project will be required. Prerequisite: MGTSC 502 or 541.


MGTSC 645 - Introduction to Business Analytics View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

The merging of massive data-sets with analytical tools from Statistics, Computer Science, and Operations Research has created the emerging field of analytics. Methods are developing rapidly based on statistical platforms such as SAS and R, or more general purpose programming tools such as Python. This course will build on the basis from MGTSC 501 to provide an overview of Big Data and analytics, and develop programming and methodological skills to acquire, analyze, and present analysis. Prerequisite: MGTSC 501.


MGTSC 655 - Quality Management View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

The objective of the course is to study and understand process and product variation, interactions among product and process variables and ultimately to take action to reduce variation. The topics covered include statistical process control, design of experiment, factorial design, Taguchi's methods and cases and applications of quality control in management. Prerequisite: MGTSC 501 or 521.


MGTSC 671 - Decision Support Systems View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Decision support systems integrated with various management tools in a microcomputer environment. Programming language to be used is Visual Basic for Applications. Different multicriteria decision making tools such as the Analytic Hierarchy Process, Multiattribute Utility Theory, Goal Programming and Multiobjective Optimization are introduced. Students create decision support systems with graphical user interfaces that use a formal multicriteria decision-making front end as well as optimization, simulation or other appropriate engines for calculations in the background. Student projects in this implementation-oriented course will come from different areas such as employee scheduling, facility location, project/product selection and portfolio optimization. Prerequisite: MGTSC 501 or 521.


MGTSC 686 - Selected Topics in Management Science View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Topics may vary from year to year. Students should check with the MBA Office for pre/corequisites of specific sections.


MGTSC 705 - Multivariate Data Analysis I View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

An overview of multivariate data analysis normally taken by students in the first year of the Business PhD program. Designed to bring students to the point where they are comfortable with commonly used data analysis techniques available in most statistical software packages. Students are expected to complete exercises in data analysis and in solving proofs of the major results. Topics will include univariate analysis, bivariate analysis, multiple linear regression, and analysis of variance. It is expected that students have as background at least one semester of calculus, one semester of linear algebra, and two semesters introduction to probability, probability distributions and statistical inference. Prerequisite: Registration in Business PhD Program or written permission of instructor. Approval of the Business PhD Program Director is also required for non-PhD students.


MGTSC 707 - Applied Business Analysis of Time Series and Panel Data View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

This course is organized into two parts. Part I covers univariate and multivariate time domain models of stationary and nonstationary time series. Topics covered include univariate time series models, unit root tests, time series regression modeling, systems of regression equations, vector autoregressive models for multivariate time series and cointegration. In Part II the course introduces the issues and opportunities that arise with panel data and the main statistical techniques used for its analysis. Topics covered include fixed-effects models, random-effects models, dynamic models and limited dependent variable models. Throughout the course, the emphasis will be on how to use S-plus and Stata to estimate panel data and time series models. There is relatively less emphasis on statistical theory. Evaluation in the course is based on home work assignments and a term project. Prerequisite: MGTSC 705 or equivalent.


MGTSC 801 - Data Analysis and Decision Making View Available Classes

★ 3 (fi 6)(EITHER, 3-0-0)

Developing the ability to collect information and to use information technology to analyze statistically and draw conclusions; developing computer skills and understanding research methods. Restricted to students registered in the MBA China Program.


MGTSC 820 - Data Analysis and Modeling View Available Classes

★ 3 (fi 32)(EITHER, 3-0-0)

Developing the ability to collect information and to use information technology to analyze statistically and draw conclusions; developing computer skills and understanding research methods. Restricted to Executive MBA students only.


MGTSC 830 - Operations Management View Available Classes

★ 3 (fi 32)(EITHER, 3-0-0)

Understanding the strategic role of operations in an enterprise and the relationship between operations and other business functions; designing, implementing and controlling an effective and efficient operating process. Restricted to Executive MBA students only.