RYERSON UNIVERSITY: Undergraduate Calendar 2004-05

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UNDERGRADUATE PROGRAM CALENDAR 2004-2005
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Quantitative Methods Courses
QMS 102 QMS 202 QMS 204 QMS 400 QMS 402 QMS 442 QMS 521 QMS 522 QMS 621 QMS 641 QMS 701 QMS 702 QMS 703 QMS 751

QMS 102 Quantitative Methods: Business Statistics I Lect: 3 hrs.

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 calcu-lator to present and analyse statistical data.
Exclusions: QMS 204, QMS 400.

QMS 202 Quantitative Methods: Business Statistics II Lect: 3 hrs.

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.

QMS 204 Quantitative Methods: Statistics for Management Lect: 2 hrs./Lab: 1 hr.

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.
Exclusions: QMS 102, QMS 400.

QMS 400 Quantitative Methods: Applied Management Statistics Lect: 2 hrs./Lab: 1 hr.

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 or equivalent, ITM 101 for RLMG, QMS 102, QMS 202.

QMS 402 Quantitative Methods: Quality Management Lect: 3 hrs.

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 equivalent.

QMS 442 Quantitative Methods: Multiple Regression for Business Lect: 3 hrs.

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 permission of Instructor.

QMS 521 Quantitative Methods: Business Optimization Lect: 3 hrs.

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 equivalent.

QMS 522 Quantitative Methods: Linear Algebra Lect: 3 hrs.

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.

QMS 621 Quantitative Methods: Introduction to Quality Control Lect: 3 hrs.

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.

QMS 641 Quantitative Methods: Business Research Lect: 3 hrs.

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 equivalent.
Exclusion: QMS 741.

QMS 701 Quantitative Methods: Decision Systems Lect: 3 hrs.

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.

QMS 702 Quantitative Methods: Calculus for Business Lect: 3 hrs.

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 recom-mended 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.

QMS 703 Quantitative Methods: Business Forecasting Techniques Lect: 3 hrs.

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 permission of Instructor.

QMS 751 Quantitative Methods: Decision Models for Managers Lect: 3 hrs.

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 permission of Instructor.

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QMS 102	Quantitative Methods: Business Statistics I	Lect: 3 hrs.
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 calcu-lator to present and analyse statistical data.
Exclusions: QMS 204, QMS 400.

QMS 202	Quantitative Methods: Business Statistics II	Lect: 3 hrs.
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.

QMS 204	Quantitative Methods: Statistics for Management	Lect: 2 hrs./Lab: 1 hr.
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.
Exclusions: QMS 102, QMS 400.

QMS 400	Quantitative Methods: Applied Management Statistics	Lect: 2 hrs./Lab: 1 hr.
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 or equivalent, ITM 101 for RLMG, QMS 102, QMS 202.

QMS 402	Quantitative Methods: Quality Management	Lect: 3 hrs.
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 equivalent.

QMS 442	Quantitative Methods: Multiple Regression for Business	Lect: 3 hrs.
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 permission of Instructor.

QMS 521	Quantitative Methods: Business Optimization	Lect: 3 hrs.
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 equivalent.

QMS 522	Quantitative Methods: Linear Algebra	Lect: 3 hrs.
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.

QMS 621	Quantitative Methods: Introduction to Quality Control	Lect: 3 hrs.
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.

QMS 641	Quantitative Methods: Business Research	Lect: 3 hrs.
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 equivalent.
Exclusion: QMS 741.

QMS 701	Quantitative Methods: Decision Systems	Lect: 3 hrs.
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.

QMS 702	Quantitative Methods: Calculus for Business	Lect: 3 hrs.
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 recom-mended 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.

QMS 703	Quantitative Methods: Business Forecasting Techniques	Lect: 3 hrs.
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 permission of Instructor.

QMS 751	Quantitative Methods: Decision Models for Managers	Lect: 3 hrs.
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 permission of Instructor.