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QMS
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102
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Business Statistics I
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This course consists of an introduction to business statistics including methods of describing, summarizing, graphically presenting, measuring and analyzing statistical data, probability distributions, covariance applications, sampling distributions and control charts. The course emphasizes how to apply various statistical techniques in the support of managerial decisions in the various functional areas of business. Students will be required to use appropriate computer software and/or calculator to present and analyse statistical data.
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Lect: 3 hrs.
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| Antirequisites: QMS 204, QMS 400
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Course Weight: 1.00
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Billing Units: 1
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QMS
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202
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Business Statistics II
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This course builds on the concepts introduced in QMS 102. Some of the topics to be studied follow: confidence interval estimation, hypothesis testing of means, variances, proportions, independence, and simple/multiple regression with applications to forecasting. The course emphasizes how to apply various inferential statistical techniques in the support of managerial decisions in the various functional areas of business. SPSS and/or programmable calculators are used.
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Lect: 3 hrs.
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| Prerequisite: QMS 102 or QMS 204 or Direct Entry
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Course Weight: 1.00
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Billing Units: 1
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QMS
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442
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Multiple Regression for Business
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This course makes a comprehensive examination of both multiple regression and analysis of variance, the most commonly used statistics tools used in business, emphasizing model appropriateness for given business problem and followed by a critical analysis of any assumptions and an assessment of the model accuracy. A real-life project is used to demonstrate the practical use of the techniques. The course is supported by appropriate statistical software.
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Lect: 3 hrs.
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| Prerequisite: QMS 202 or Direct Entry
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Course Weight: 1.00
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Billing Units: 1
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QMS
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521
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Business Optimization
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This course is designed to help the prospective manager define the management decision-making process and become familiar with the Operations Research and other linear techniques in practice today. Students will learn to recognize decision situations amenable to O.R. analysis through exposure to the analysis of business problems using model formulation and problem-solving techniques. Analysis will be done using appropriate of software and platforms with an emphasis on output interpretation.
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Lect: 3 hrs.
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| Prerequisite: QMS 202 or Direct Entry
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Course Weight: 1.00
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Billing Units: 1
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This course applies Matrix Algebra to the modelling of Linear Business Systems. Topics include Matrices and Linear Transformations, Determinants and Subspaces. This course should be of interest to students planning graduate studies in Business Administration or Economics.
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Lect: 3 hrs.
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Course Weight: 1.00
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Billing Units: 1
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QMS
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641
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Business Research
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The main objective of this course is to present statistical methods useful in conducting business research as a basis for decision making. The topics include survey design and sampling techniques with an emphasis on non-parametric statistical methods. Analysis will be done using appropriate software.
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Lect: 3 hrs.
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| Prerequisite: QMS 202 or Direct Entry, Antirequisite: QMS 741
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Course Weight: 1.00
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Billing Units: 1
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QMS
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702
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Calculus for Business
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This course is an introductory course in calculus. Its purpose is to make the student familiar with the basic concepts and appreciate the various applications. The course will be of value to students who wish to further their understanding of business and economic model building. It will also give the student an insight into one of the most powerful and widely used of mathematical tools. Although little prior knowledge will be assumed, the student should have analytical interest. Many graduate business schools now require at least one undergraduate level calculus course. It is strongly recommended that students select QMS 702, Calculus for Business, as an elective in fourth year if they are considering graduate studies in business.
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Lect: 3 hrs.
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| Prerequisite: QMS 202 or Direct Entry
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Course Weight: 1.00
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Billing Units: 1
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QMS
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703
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Business Forecasting Techniques
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This course deals with the application, usefulness and limitations of some of the more important and widely used time series forecasting techniques, including Box-Jenkins. A forecasting project will provide the student with insight into the practical problems of forecasting such as data acquisition, model selection and the analysis and interpretation of results. Analysis will be done using the appropriate software and platforms.
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Lect: 3 hrs.
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| Prerequisite: QMS 202 or Direct Entry
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Course Weight: 1.00
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Billing Units: 1
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