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FULL-TIME UNDERGRADUATE CALENDAR 2005-2006
Quantitative Methods
| QMS 102 Business Statistics I | |
| 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.
| | Antirequisites: QMS 204 and QMS 400. | | Lect: 3 hrs. | | back to top |
| QMS 202 Business Statistics II | |
| 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.
| | Prerequisite: QMS 102 or QMS 204 or Direct Entry. | | Lect: 3 hrs. | | back to top |
| QMS 204 Statistics for Management | |
| Statistics for Management includes an introduction to business statistics, methods of describing, summarizing, graphically presenting, measuring and analyzing statistical data using a statistics computer package. Students will also be exposed to the theoretical underpinnings of management decision tools including probability distributions, covariance applications, sampling distributions, control charts, estimation and hypothesis testing. The course emphasizes how to apply various statistical techniques in the support of managerial decisions in the various functional areas of business.
| | Antirequisites: QMS 102 and QMS 400. | | Lect: 2 hrs./Lab: 1 hr. | | back to top |
| QMS 400 Applied Management Statistics | |
| This course covers selected topics of descriptive and inferential statistics used in general management and business research. Students will learn to use statistical software for the presentation and analysis of data. Other topics include introductory probability, sampling and sampling distributions, estimation, parametric and nonparametric hypotheses testing. Bivariate statistics covered will include regression, analysis of variance and time series. Selected quality control applications will be presented.
| | Prerequisites: (ITM 102, QMS 102 and QMS 202) or ITM 101 for Retail Management students. | | Lect: 2 hrs./Lab: 1 hr. | | back to top |
| QMS 402 Quality Management | |
| Quality has become a critical component of many successful businesses. The quest for quality has led to the emergence of a set of analytic tools that help identify, study and improve business processes. The course examines the development of these management tools and the role that they play in continuous improvement activities. In particular, the student will become familiar with problem solving strategies that begin with a structured qualitative analysis of business situations, incorporate quantitative management methods and lead to well-reasoned decisions. Appropriate software support will be used.
| | Prerequisite: QMS 102 or Direct Entry. | | Lect: 3 hrs. | | back to top |
| QMS 442 Multiple Regression for Business | |
| 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.
| | Prerequisite: QMS 202 or Direct Entry. | | Lect: 3 hrs. | | back to top |
| QMS 521 Business Optimization | |
| 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.
| | Prerequisite: QMS 202 or Direct Entry. | | Lect: 3 hrs. | | back to top |
| This course includes applications of Matrix Algebra to the modelling of Linear Business Systems. Linear transformations and applications to the modelling of composite and iterative processes is covered. This course should be of interest to students planning graduate studies in Business Administration or Economics.
| | Lect: 3 hrs. | | back to top |
| QMS 621 Introduction to Quality Control | |
| The reduction of variation in manufacturing and service is an important part of successful management practice. A growing demand for defect-free products and service has increased the need for quality control and quality assurance techniques. This course examines the development of these quality methods and their role in modern management initiatives. The student will obtain a thorough understanding of statistical process control (SPC) methods and the decision making support they provide for quality control and quality improvement. Appropriate software support will be used.
| | Prerequisite: QMS 202 or Direct Entry. | | Lect: 3 hrs. | | back to top |
| QMS 641 Business Research | |
| 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.
| | Prerequisite: QMS 202 or Direct Entry. Antirequisite: QMS 741. | | Lect: 3 hrs. | | back to top |
| This is a course which studies the entire managerial situation and provides a generalized technology for structuring management decisions. It quantifies the main elements in the decision process in order to force hidden assumptions behind a decision into the open, and make clear their logical and quantitative implications. Analysis will be done using appropriate software and platforms.
| | Prerequisite: QMS 202 or Direct Entry. | | Lect: 3 hrs. | | back to top |
| QMS 702 Calculus for Business | |
| 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.
| | Prerequisite: QMS 202 or Direct Entry. | | Lect: 3 hrs. | | back to top |
| QMS 703 Business Forecasting Techniques | |
| 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.
| | Prerequisite: QMS 202 or Direct Entry. | | Lect: 3 hrs. | | back to top |
| QMS 751 Decision Models for Managers | |
| This is a practical course dealing with the application of Management Science to business decision problems. Emphasis is placed on the study of mathematical models of common business situations and the related mathematical solutions. Topics include Queuing Theory, Markov chains, and Simulation. Practical application of these topics in the areas of marketing, production and finance are stressed. Analysis will be done using appropriate software and platforms.
| | Prerequisite: QMS 202 or Direct Entry. | | Lect: 3 hrs. | | back to top |
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