An introduction to the methods and principles of management engineering. Written, graphical, and oral forms of technical communication. Engineering graphics fundamentals of projection, computer-aided design, freehand sketching, and the interpretation of technical drawings. Introduction to quantitative methods of data analysis, planning, forecasting, decision modeling, and work flow analysis. Engineering design, including a management process design project with small groups. Aspects of the engineering profession including ethics, safety, and intellectual property. Professional development including résumé skills, interview skills, and preparation for co-op terms. [Offered: F]
General Seminar. [Offered: W]
An introduction to computer programming using a high level programming language. Concepts and topics covered include the basic components of algorithms (primitive operations, variables, sequencing operations, conditionals/branching, repetition/loops, and subroutines/functions), problem decomposition, abstraction, testing and debugging, pseudo-code, file based input and output, use of a modern development environment including a symbolic debugger, good coding style, pointers/references, and basic data structures (arrays, records, objects). [Offered: W]
The course introduces fundamental concepts in two main areas: The first is work analysis and design where work methods design, motion and time study, and work sampling are covered. The second covers basic concepts in facilities planning such as process analysis, flow design, facility location and layout, and material handling systems. Students will apply these concepts in design activities in labs and projects. [Offered: W]
General seminar. [Offered: F]
General seminar. [Offered: S]
Introduction to the concepts of learning, person perception, attitudes and motivation in an organization. Consideration of communication, roles, norms and decision making within a group. Discussion of power, control, leadership and management in light of the above concepts. [Offered: F, W, S]
Design and analysis of data structures and algorithms with an emphasis on further development of computer programming skills. Topics include algorithms for searching, sorting, stacks, queues, trees, and graphs. Comparison of algorithms on different data structures. Solutions to common engineering problems in computer science using algorithms and data structures. Introduction to mathematical analysis of space and time complexity with a focus on designing solutions that can scale to large input sizes. [Offered: F]
This course introduces students to software systems that use a relational database management system (RDBMS) for data storage. One focus of this course is multi-tier software architectures, such as websites and other software as a service (SaaS) systems. Students will learn common software concepts such as design patterns, and modelling processes, objects, logic, and data. Students will learn how to organize data in a RDBMS and how to interact with the database using the structured query language (SQL). [Offered: S, first offered Spring 2020]
A first of a two course sequence that introduces fundamental concepts in probability and statistics. It covers probability concepts, random variables, graphical display of distributions and data, discrete and continuous probability distributions, sampling, estimation, confidence intervals, experimental design, hypothesis testing, and simple linear regression and correlation. Students learn how to graphically explore data, conduct and analyze a two treatment experiment, and model data with linear regression and interpret its fit. Students learn to use statistical computing software (e.g., R) to perform data analyses. Emphasis is placed on gaining experience with data collected from student conducted experiments. [Offered: F, first offered Fall 2019]
This course introduces fundamental concepts in probability and statistics. It covers topics in probability, random variables, discrete and continuous probability distributions, confidence intervals, hypothesis testing, sampling, and introductory linear regression. Students are exposed to software packages that enable statistical analysis. [Offered: S, last offered Spring 2019]
The second of a two-course sequence that introduces probability and statistics. It covers quantitative information displays, conditional probability and Bayes' rule, transforms, joint distributions, special discrete and continuous distributions (t, F, chi-square, Poisson), fitting distributions to data, maximum likelihood estimation, multiple regression, experimental design (blocking, factorial), paired hypothesis tests, analysis of variance, non-parametric statistics, and computer intensive statistics (bootstrap). In addition, students learn how to clean data, handle missing values, smooth data, and perform the statistical techniques covered in the course using a statistical computing package, (e.g., R). Emphasis is placed on working with actual data collected from student experiments and other sources such as industrial partners. [Offered: S, first offered Spring 2020]
Introductory Finance: time value of money, cash flow analysis. Investment evaluation methods: present worth, annual worth and internal rate of return. Depreciation models and asset replacement analysis. The impact of inflation, taxation, uncertainty and risk on investment decisions. [Offered: F,W,S]
This course provides students with an understanding of how costs are calculated and allocated within an organization. The focus is on developing an understanding of how all aspects of engineering impact the cost structure of an organization, and how these costs are analyzed and used in corporate planning and decision making processes. [Offered: F, last offered Fall 2018]
This course introduces students to key concepts in microeconomics, with an emphasis on applications to managerial decision-making. Topics include: basic analysis of supply and demand, demand functions and the theory of consumer behaviour, production and costs, market equilibrium, competition between industry participants, and pricing strategies of firms under different market structures. [Offered: S]
This course introduces students to first and second order ordinary differential equations, vector calculus, and numerical methods for solution of systems of equations and ordinary differential equations. Applications in Management Engineering are emphasized. [Offered: F]
General Seminar. [Offered: W]
General Seminar. [Offered: F]
The focus of this course is on the procedures and variables involved in the design and redesign of organizations. Issues such as departmentation, differentiation, integration, internal politics, innovation, authority and control are discussed in the context of the underlying technology of the organization. Emphasis will be placed on how one designs both the technical and the organizational systems to ensure their compatibility, noting the effects that one has on the other. [Offered: F, W]
This first course in optimization uses a quantitative approach to problem solving involving, mathematical modelling and formulations, solution methods, and output analysis. Students are introduced to a variety of practical problem formulations in Management and Engineering, a number of solution methods, including, but not limited to linear optimization, network models, project management, and decision analysis. Students are also involved in a group project, where they go through conceptual and operational model design, analytical solution, output analysis, and recommendation. [Offered: F, W, S]
This course builds on the material presented in MSCI 331, and explores more advanced optimization techniques and applications. Methods, such as integer optimization, dynamic programming, and heuristics are introduced and used to design solution alternatives for applications from Management Engineering. This may include network and process design in logistics, transportation, telecommunications, and healthcare. [Offered: F]
This course introduces the use of discrete event simulation as an approach for understanding and analyzing complex management systems. Topics include an introduction to simulation modeling, general purpose and special purpose simulation languages, designing valid and credible simulation models, input data analysis, output analysis and experimental design. [Offered: F]
This course exposes students to production planning and inventory control approaches in industrial and service systems. Production planning topics cover capacity and resources planning, production scheduling, manufacturing resource planning, Just-In-Time and lean manufacturing. Inventory control topics cover lot sizing policies, deterministic and stochastic inventory policies. The course involves a design project of a production and/or inventory system. [Offered: W]
The purpose of this course is to study methods necessary to cost-effectively address difficult problems arising in the development, management and evolution of software systems.Topics include requirements engineering and analysis; different methods for software design; techniques for building dependable software systems; verification and validation of systems cost estimation, resource estimation and project management; and maintenance issues. [Offered: F]
This course is designed to provide in-depth exposure to the concepts of human-computer interaction and methods of interactive information system design. The course will focus on techniques for building information systems that meet human needs and capabilities by following a system development lifecycle: user requirements analysis, information and interaction design, prototyping and evaluation. [Offered: F]
Design and implementation of database solutions to common engineering and management problems. Multiple analytical methods for choosing optimal database designs. Topics include relational database design, data definition, entity modeling, structured query language and emerging types of database systems. [Offered: S, last offered Spring 2019]
A work-term report presents in detail a technical project, activity, or analysis engaged by the student normally during the preceding work term, related to Management Engineering. The report is evaluated on the basis of written communication skills and technical proficiency in the subject matter as demonstrated by the report. Reports are due on the 10th day of lectures for the academic term in which the report is required. Any resubmissions granted are due by the "Lectures End" date. [Offered: W, first offered Winter 2019]
A work-term report presents in detail a technical project, activity, or analysis engaged by the student normally during the preceding work term, related to Management Engineering. The report is evaluated on the basis of written communication skills and technical proficiency in the subject matter as demonstrated by the report. Reports are due on the 10th day of lectures for the academic term in which the report is required. Any resubmissions granted are due by the "Lectures End" date. [Offered: F, first offered Fall 2019]
General Seminar. [Offered: S]
General Seminar. [Offered: W]
This is the first course of a two course sequence to provide students with an opportunity to engage in a significant design experience based on the engineering knowledge and skills gained in previous courses and on cooperative work terms. The instructor will review and extend concepts of project management studied in earlier courses, and students will apply these project management skills. Teams of students will formulate a design problem and submit a preliminary project proposal, make oral presentations for preliminary and interim design reviews, and submit a written interim report describing the proposed design solution. [Offered S]
This is the second course of a two course sequence to provide students with an opportunity to engage in a significant design experience based on the engineering knowledge and skills gained in previous courses and on cooperative work terms. Each student team is required to complete the detailed design for the project defined in MSCI 401, submit a final written report, and make an oral presentation describing their design solution. [Offered: W]
This course will provide students with an overview of how management, psychology, marketing, and related fields have approached the topics of leadership, influence, and power. The first section of the course will address the antecedents of leadership (e.g., How do specific leaders emerge? What are the qualities of good leaders?). The second section of the course will address the act of leadership (e.g., How do leaders influence their followers? What limitations are inherent to leadership positions?) Specific topics covered include leadership styles, persuasion, social influence, evolutionary perspectives, motivating others, and managing conflict. [Offered: S]
This course covers (a) the competitive strategy that a firm uses in its product markets, and (b) the firm's organizational strategy, i.e., how the firm organizes to meet its objectives. The course will be taught from an economic perspective, but findings from other social sciences will also be presented along with their impact on the strategy-making and implementation process. A special focus will be placed on technology firms. [Offered: S]
This course is designed to analyze the impact of technological change and entrepreneurship at a firm and societal level, primarily in terms of the economic antecedents and consequences of new technology. The scope of the course ranges from the study of the determination of productivity and its effect on economic growth to the determination of innovative activity and performance. Prereq: (One of CIVE 292/392, ECON 101, ENVE 292/392, MSCI 261, SYDE 262) and (One of CHE 220, CIVE 224, ECE 316, ECON 221, ENVE 224, ENVS 278, KIN 222, MSCI 252 or 253, ME 202, MTE 201, NE 115/215, PSCI 314, PSYCH 292, REC 371, SDS 250R, SOC 280, STAT 202, 206, 211, 221, 231, 241, SYDE 212) and level at least 3A. [Offered: F]
This course examines technical and organizational aspects of managing new product and process innovation. Topics include human creativity and problem solving, product design and development, product feasibility assessment, requirements engineering, managing research and development, project management, team communication, technology implementation, and innovation strategy. [Offered: W]
This course examines the management of organizational knowledge from a cognitive perspective. Topics include concepts, categories, language, information theory, and theories of organizational communication. Practical aspects of the design of computerized knowledge management systems and their effectiveness for encoding and transferring organizational knowledge will be discussed. [Offered: W, first offered Winter 2012]
Introduction to Operations Research models and methods for problems with random, stochastic and probabilistic components. Topics include birth and death processes, branching processes, waiting line models, and Markov decision processes. Applications include, the design, modelling, and analysis of service and manufacturing systems, with emphasis on important functions such as queueing, inventory, reliability, equipment replacement, and maintenance. [Offered: W]
Introduction to management, planning, and control decisions in manufacturing and service settings using quantitative approaches. Topic areas include production, inventory, distribution, quality control, facilities layout, and process design. Students are exposed to a number of examples and case studies, and work on a project that involves analysis and discussion of improved designs. [Offered: F, W]
This course exposes students to a variety of application areas in management engineering and introduces to them the challenges inherent in implementing new management engineering systems. Topics will be chosen from areas such as: manufacturing, services, logistics, finance, healthcare and engineering. [Offered: W]
This course focuses on the efficient use of material, information, physical and human capital resources in supply-demand networks consisting of suppliers, manufacturers, distributors, retailers and customers. It emphasizes analytic tools used to design, implement and sustain competitive supply chain systems. The material will highlight application of supply chain practices in industry and supply chain implementation challenges. Issues associated with international or global supply chains will be discussed. [Offered: S]
This course covers more advanced topics in optimization that go beyond the contents of MSCI 331 and MSCI 332. The course will cover topics such as constraint programming, stochastic programming, large scale optimization, or complementarity problems. [Offered: W]
This course provides an introduction to analysis, design and implementation of decision support systems for engineering and business applications. Operations research modeling techniques and software are integrated with database systems and computer interfaces to create systems that aid managerial decision-making. This course also will discuss challenges in designing and implementing decision support systems based on models drawn from Operations Research. [Offered: W]
This course is designed to familiarize the student with issues related to the impact of computer-based technologies on individual jobs, organizations, and broader societal level. Particular emphasis will be placed on critical examination of various issues including privacy, security, ethical concern and professional responsibilities. [Offered: W]
This course provides a descriptive introduction to terminology and workings of telecommunication technologies, with a view to appreciating how these technologies can be applied and better managed. Topics include: Introduction to LANs, WANs and Internet technologies, applications of telecommunication media, internet pricing, impact of wide area information systems, social and legal aspects of telecommunication technologies. [Offered: W]
The course is intended to provide students with the knowledge of the theory and practice of information systems development stages, techniques and methodologies. Course topics may include: requirements analysis, structured and object-oriented design techniques and system implementation strategies. [Offered: W]
An introduction to design, use and analysis of computer networks and telecommunication systems with a focus on technological issues arising in the rapidly developing field of telecommunications and information technology. The emphasis is on what engineers need to know about telecommunication to make sound business decisions, and utilize networks in software applications. The material will be taught using a top-down approach. Topics include: systems, security, applications, evolution of the field, performance, and technology. [Offered: S]
This course will present state-of-the-art practice and research in the storage, extraction, manipulation and analysis of data, with a view to using these processes for making better management decisions. Topics include: extracting, cleaning, and organizing data from transactional databases, discovering and validating patterns and relationships using statistical techniques, and using the extracted patterns for making improved management decisions. [Offered: F]
This course deals with normative, descriptive, and prescriptive theories of decision making under uncertainty. It begins with analytical models such as decision trees, Bayes Theorem and Bayesian revision, value of information, basic utility theory and multi-attribute decision making. The course continues with an examination of how these theories can fail to predict actual decision making behavior. This course applies the concepts of decision-making to managerial and consumer behavior as well as behavior in negotiations. [Offered: S]
This course discusses how information systems support the execution and management of internal and inter-organizational activities from the perspective of critical business processes. Topics include the information and security requirements necessary to support: the internal "order-to-cash", "procure-to-pay", and "plan-to-produce" processes, as well as inter-organizational business processes such as: Collaborative Planning Forecasting and Replenishment (CPFR) and e-Procurement. Requirements and success factors for inter-organizational business relationships are also addressed as they relate to information and process sharing. [Offered: S, first offered Spring 2011]
Technical entrepreneurship is examined considering the role of independent business, entrepreneurial behaviour, types of business and enterprises, business structure, sources of venture concepts and capital, company operation and control, and business start-up. [Offered: W]
A work-term report presents in detail a technical project, activity, or analysis engaged by the student normally during the preceding work term, related to Management Engineering. The report is evaluated on the basis of written communication skills and technical proficiency in the subject matter as demonstrated by the report. Reports are due on the 10th day of lectures for the academic term in which the report is required. Any resubmissions granted are due by the "Lectures End" date. [Offered: S, first offered Spring 2020]
This course builds on the material covered in MSCI 431. Students will learn how to construct and analyze a range of stochastic decision models that are useful in the design and control of a wide variety of systems. Applications areas include the design of inventory control systems, telecommunication networks, healthcare polices, manufacturing control and reliability analysis. Topics include Renewal-Reward Processes, Markov Decision Processes, Matrix Analytic Methods with application areas noted above. [Offered: S]
This course provides an opportunity for students to learn the engineering behind search engines and how to optimize search engines to provide higher quality user experiences. This course focuses on text retrieval and web search. Topics include design and construction of retrieval systems, retrieval models, and evaluation of search engines. [Offered: F, W, first offered Fall 2021, offered Winter until 2022]
This course provides students with an in-depth understanding of methods for evaluating the user experience on a large scale. Students will learn how to design user experiments that involve the collection and analysis of large quantities of data online, apply useful metrics for evaluating the user experience, and use this analysis to inform their designs of software and technology. [Offered: S, first offered Spring 2022]
The course focuses on the analysis, evaluation, and improvement of quality based on statistical tools. Topics include process capability analysis, statistical process control, experimental design and the Taguchi method, and acceptance sampling. The emphasis is on the assessment of quality and the design of alternate processes and/or quality assessment schemes to improve quality. [Offered: S]
Scheduling is the sequencing of tasks to scarce resources. By exploring scheduling problems found in industry, this course will discuss scheduling framework and notation as well as algorithmic, heuristic, and mathematical programming solution approaches. Students will be introduced to the theoretical background in these areas, but the emphasis will be placed on modeling and solving scheduling problems in practice. Students will apply these concepts in design activities in assignments and a course project. [Offered: W]
A complementary studies course on advanced topics in Management Sciences will be offered when resources are available. For current offerings, see the Future Term Course Offerings list or the Schedule of Classes. [Offered: F, W, S]
A course on advanced topics in Management Engineering will be offered when resources are available. For current offerings, see the Future Term Course Offerings list or the Schedule of Classes. [Offered: F, W, S]
A course on advanced topics in Management Engineering with emphasis on design will be offered when resources are available. For current topic offerings, see the Future Term Course Offerings list or the Schedule of Classes. [Offered: F, W, S]
This is a hands-on course that will develop the student's ability to construct, evaluate and present conceptual and operational models for a variety of Management Sciences applications. Topics will cover characterization and analysis of models (with the use of sample journal articles), the art of modeling, in-class modeling exercises and a series of group modeling exercises. Priority may be given to Management Sciences students.
This course focuses on methods used in empirical research in the management sciences. It encompasses: stages in the research process, theory building, problem definition, research strategies and designs, measurement issues, sampling, ethical concerns, data analysis, and the communication of research results. These issues will be examined in published research and student proposals. Priority may be given to Management Sciences students.
This course includes: integrating technology and business strategy; design and evolution of technology strategy; development of the firm's innovative capabilities; creating and implementing systems for innovation; innovation challenges in established firms. In addition to a textbook, cases are used to add realism and context to this course. Priority may be given to Management Sciences students.
This course surveys a spectrum of models and techniques in Operations Research, with emphasis on applications. It focuses on the development of modeling skills, the interpretation of results, sensitivity analysis and computer implementations of decision support systems. Topics include linear, integer and network optimization models. Simulation analysis and other topics in stochastic processes may also be covered. The use of quantitative models in different levels of the decision making hierarchy are illustrated through case studies and readings from the Management Sciences literature. Priority may be given to Management Sciences students.
Individuals in organizations; including personality perceptions, learning, and motivation; group processes, including work groups, leadership, communication, decision making, and the management of organizational change. Organizational theory, research and design; including overview of theories such as bureaucracy, open systems, organizational ecology. Issues of departmentation, differentiation, integration, power and politics; governance structures including agency and stakeholder theories. Interorganizational networks and organizational sets. Priority may be given to Management Sciences students.
The course provides a comprehensive background in the management principles needed to effectively enhance interpersonal skills, evaluate organizational performance and apply organizational functioning. The subject areas that make up this course, in order to provide this broad background, include: Financial Accounting, Management Accounting, Organizational Behaviour, Management, Information Systems, Production and Operations Management, and Marketing. Key objectives of the course include (1) to enable confident interactions with functional specialists, (2) to provide tools for the evaluation of organizational performance, and (3) to enhance appreciation for the contributions, and applications of management theories to organizations. Priority may be given to Management Sciences students.
This course will examine economic concepts that are useful to management, from decisions about proposed investments in process changes or product modifications, to strategic considerations for the firm. Topics will include: techniques for financial evaluation of proposed investments; incorporating risk into evaluations; basic concepts from game theory; theory of demand; production functions; cost functions; competitive markets; other market structures. Priority may be given to Management Sciences students.
Descriptive statistics and probability concepts; discrete and continuous probability distributions; sampling methods and the central limit theorem; estimation and confidence intervals; inference and hypothesis testing; linear regression and correlation; multiple regression and model building.
This research seminar concentrates on a macro view of organizations as dynamic systems. It emphasizes the principles of effective management of organizations and technology. Further, the course examines the conceptual foundations of organizational theory and design. Priority may be given to Management Sciences students.
The goal of this course is to enable students to think probabilistically. The modelling and analysis of uncertain systems in operations research is emphasized. Tools include renewal theory, Markov processes and queuing analysis, while application areas include production and inventory control, health-management, transportation, and other problems in probabilistic operations research. Priority may be given to Management Sciences students.
This course provides an introduction to Discrete Event Simulation. Topics covered include applications of discrete event simulation, simulation languages, data collection and input analysis, random number generation, validation, output analysis for a single system, comparison of several systems, variance reduction techniques and experimental design. Through a project, students will acquire the skills necessary to define a problem, develop and validate a conceptual and computer model, analyse the problem, and make recommendations. Priority may be given to Management Sciences students.
The course emphasizes inventory control models with deterministic and stochastic demand, and supply chain management. Other areas which might be addressed are aggregate planning, machine scheduling, material requirements planning, and multi-echelon production and distribution systems. Priority may be given to Management Sciences students.
This course presents the foundations which underlie the development of management information systems. Emphasis is placed on the concepts, strategies, techniques and tools for identifying and specifying information systems requirements, and developing designs. Students are expected to complete an analysis and design project. Priority may be given to Management Sciences students.
The course is concerned with the design, management and use of databases. The course combines theoretical foundations of database organization and database design methodologies with the practical aspects of developing, implementing and managing databases. Some topics include: relational database design, entity modelling, SQL, and comparison of different types of databases.
This course will provide students with an understanding of Project Management Fundamentals while allowing them to gain practical experience of International Project Management and Development in a live practical project. Topics covered include: Project Management Methodologies, Project Manager's Role, Managing Project Stakeholders, Scope, Quality and teams; Project Risk Management, Procurement, Leadership, and Ethics.
Companies today confront an increasing array of choices regarding markets, locations for key activities, organizational structures, and processes for managing across borders. This course provides students with the conceptual tools necessary to understand and work effectively in today's interconnected world by developing strategic perspectives that link the global environment and the capabilities and position of the firm. Topics include Globalization, International Strategy Development, Mode of Entry and Alliance Structures, Organizational Design, Structure and Control, Human Resources Management, Cross-cultural Issues, Ethics in International Business, International Marketing and Branding, International Operations, Exporting and Importing, and Global Corporate Sustainability.
Priority may be given to Management Sciences students.
Introduction to selected applications of LP. The simplex method. Duality and sensitivity analysis. Computer solutions to LP. Network flow problems with applications and algorithms. Special topics such as revised simplex method, primal-dual method, decomposition principle, generalized upperbounding and ellipsoid methods. Priority may be given to Management Sciences students.
Nonlinear and combinatorial optimization problems with roughly equal emphasison model formulation and solution techniques. Modelling emphasis is primarily on deterministic formulation of management problems such as: inventory problems, equipment replacement, capital budgeting and production-inventory optimization. Selected techniques for each problem type are discussed. Priority may be given to Management Sciences students.
Modern supply chain management encompasses the logistics of inventory and transportation flows, whether within a given organization or between that firm and other companies (suppliers, customers) that are part of its business. This course thus deal with models and analyses of the inbound transportation of raw materials, manufactured components and sub-assemblies. Another emphasis is the (outbound) physical distribution of finished goods from factory to consumer: freight transportation (various modes, customer service, multi-location inventory management and distribution-centre site selection. Specialized topics (for term projects) may be chosen from among Logistics Information Systems; Global Supply Chain Management; Vehicle Routing; or the Logistics of e-Commerce. Priority may be given to Management Sciences students.
The course goal is to understand, model and improve decision making under uncertainty and complexity. Bayesian principles and expected utility theory are combined, their underlying assumptions critically reviewed, and alternative theories surveyed. Other issues addressed include decision with multiple attributes. Priority may be given to Management Sciences students.
The objective of this course is to develop skills with a range of procedures and programs for multivariate data analysis. The focus will be on practical issues such as selecting the appropriate analysis, preparing data for analysis, menu-driven and syntax programming, interpreting output, and presenting results of a complex nature.
This course covers predictive analytics that provides techniques to model the relationships between inputs and outcomes, and construct predictions about future outcomes, and prescriptive analytics that provides tools to optimize actions against a complex set of objectives to find best practices and design best policies under all circumstances. The theoretical techniques will be applied to such chains, service industries, healthcare systems, revenue management, inventory management, and sports.
Priority may be given to Management Sciences students.
This course provides the conceptual foundations for understanding knowledge management and the relevant techniques for build knowledge-based systems (KBS or expert systems). Topics include an overview of applications of knowledge management, artificial intelligence, rule-based systems and other common knowledge representation techiniques, knowledge acquistion methods, application of KBS in management. Students will practice designing KBS. Priority may be given to Management Sciences students.
This course focuses on methods and algorithms for turning very large collections of data into actionable insight. Topics may include data profiling, transformation and cleaning, data mining, data warehousing and cloud computing. Applications will be drawn from various areas such as smart grid analytics and ubiquitous computing. Students will read and present papers and complete a research project. Priority may be given to Management Science students. Previous studies in programming, algorithms, statistics and database management are necessary background topics for those taking this course.
This course covers analytical models and analysis for information procurement mechanisms. This class leverages optimization, game theory, and probability theory. Topics covered in this course include: mechanism design, scoring rules, prediction markets, and modeling feedback in markets.
The proliferation of advanced communication systems at an affordable price has led many businesses to greatly expand the use of computer networks to gain competitive advantage. The objectives of this course are to study: concepts relating to the workings of computer networks and the Internet; strategies and tactics utilized by business to take advantage of this emerging technology; methods to create Internet content. The following topics will be covered: communication media; local area networks; wide area networks and internetworking; concepts relating to Internet programming; business and national strategies relating to communications technology. Priority may be given to Management Sciences students.
This course concentrates on the theoretical and practical issues related to the design of human-computer interfaces. Aspects of human perception, cognition and various models of task analysis are discussed. Further, the course examines the principles of interface design and the related empirical evidence. Priority may be given to Management Sciences students.
This course introduces matrix-analytic methods and shows their applications in queuing theory, inventory theory, supply chain management, telecommunications networks, reliability, finance mathematics, and risk and insurance analysis. In the first half of the course, the basic theory on phase-type distributions, Markovian arrival processes, and matrix-geometric solutions is introduced. In the second half of the course, applications of matrix-analytic methods in stochastic modeling (queuing, reliability, inventory, supply chain, etc.) are examined. Previous study of stochastic models is required, such as MSCI 631.
This course discusses the issues and challenges in designing and implementing quantitative decision models, particularly mathematical programming models. The course has three main elements: 1) the design and implementation of relational data bases to support decision models; 2) the selection and use of a formal modelling tool and language; 3) the design of computer interfaces for the model's users. Priority may be given to Management Sciences students.
This course treats the broad subject of network models. Network flow problems form a special class of linear programming that arise in a wide variety of applications including transportation, telecommunications, logistics and supply chain management. The purpose is to study the properties of network flow models, to discuss extensions and various solutions approaches, and to survey some applications.
Priority may be given to Management Sciences students.
This is an applied course in industrial organization economics. It deals with productivity, the relationship between productivity and technological change, the determinants to firms' investments in research, development and innovation, the diffusion of innovations, entrepreneurship, and technology policy. Priority may be given to Management Sciences students.
Science and Technology are increasingly viewed as important tools to promote the social, economic, and political goals of modern economies. Accordingly, science and technology (S&T) policy issues have assumed prominence in contemporary policy discourse. Firms are often operated under different policy environments and their strategies should be formulated under the various environments. This course provides students with the background and tools needed to critically evaluate issues in S&T policy debates. After reviewing the basics of science and technology policy, we will discuss a few instruments of S&T policy, e.g., intellectual property rights, tax and subsidy, public funding for research, and prizes. Throughout the course, we will integrate the theoretical discussions with cases of contemporary S&T policy issues. Previous study of economics is required, such as MSCI 607.
Priority may be given to Management Sciences students.
This course is designed to provide the student with up-to-date understanding of the developments, issues and current research in the topics associated with knowledge as an asset in organizations. Topics include: knowledge and economic growth and change: the global knowledge-based economy; consequences of the increasing role of the knowledge worker; strategic and organizational roles of intellectual capital; monitoring, and valuing and reporting intellectual capital. Priority may be given to Management Sciences students.
An overview of the process of initiating startups, spin-outs or new ventures within an existing company. Ventures based on new technologies are a focus. Topics include extrpreneurship and organizational culture, opportunity identification and assessment, business plans and new venture diagnostics, protecting intellectual property, finance, marketing and the entrpreneurial team.
Priority may be given to Management Sciences students.
This course is designed to provide the student with the statistical foundations of quality control and improvement. Topics include: inferential statistics graphical method of data presentation, statistical process control including the use of control charts; acceptance sampling procedures, fundamentals of experimental design, and the Taguchi method. Priority may be given to Management Sciences students.
This course provides an introduction to quality management by examining the philosophies, practices, tools, and decisions involved in the management of quality. An applied approach is used in this study. The course begins with a general overview of quality, including the various ways of defining and measuring quality and the Cost-of-quality model. This culminates in an introduction to total quality (TOM) and its three cornerstones: continuous improvement, customer focus, and total organizational involvement. The remainder of the course examines these cornerstones in greater detail. The objectives of the course are: (1) to develop an appreciation for importance of managing the quality at all levels, and stages of the organization, (2) to introduce techniques for defining, monitoring, and improving quality, and (3) to encourage critical thinking about issues in managing quality, within the organization, and in society in general. Priority may be given to Management Sciences students.
Priority may be given to Management Sciences students.