Course Descriptions

Course catalog descriptions for courses offered in all currently published terms.

Technology & Operations

Department Chairperson: Kapuscinski, Roman
Department Website:
TO 502 Applied Business Statistics
  2.25 hours Core Terms Offered: F15(A), F16(A)
  Course Prerequisites: No credit in TO 501 
  Advisory Prerequisites: College algebra 
  Applied Business Statistics --- This course covers probability, sampling distributions, confidence intervals, hypothesis testing, correlation, and simple and multiple regression analysis. Business applications are used to illustrate these concepts. The course requires familiarity with the statistical analysis package of MS Excel.
TO 505 Business Fundamentals Bootcamp
  1 hours Core Terms Offered: W15, W16
  Business Fundamentals Bootcamp --- The objective of the course is to familiarize the MSCM students with the core business fundamentals. Various core business functions are covered in several modules, delivered by faculty from respective areas. The intention is that the MSCM students will develop business literacy and develop a basic understanding of other business functions and their role in operations and supply chain management-the focus of the MSCM degree.
TO 512 Decision Support with Spreadsheets
  1.5 hours Elective Terms Offered: W15(A), F15(A), W16(A), F16(A)
  Course Prerequisites: No credit in TO 311 or 411 or 511 
  Decision Support with Spreadsheets --- Spreadsheets have advanced to the point of providing powerful, general-purpose functionality and are among the most widely used decision-support tools in business today. This course deals with decision support using spreadsheets, including: what if analysis; financial, statistical and time/date functions; graphical presentation of data; organizing, sorting, querying and extracting information from spreadsheet and external databases and the World Wide Web; cross-tabulation of data; data tables; creation and management of scenarios; use of a solver to find optimal solutions to problems; the design to macros to support spreadsheet applications; and data maps. An expert level of spreadsheet use is achieved. Lecture-demonstrations illustrate relevant features of spreadsheet software. Students do assigned cases on a computer to reinforce and extend conceptual and operational aspects of the material. Windows-based spreadsheet software (such as Excel) is used.
TO 513 Spreadsheet Modeling and Applications
  1.5 hours Elective Terms Offered: W15(B), F15(B), W16(B), F16(B)
  Course Prerequisites: No credit in CIS 511, TO 511 or TO 564 
  Advisory Prerequisites: TO 311, TO 512, or permission of instructor 
  Spreadsheet Modeling and Applications --- This course, a continuation of TO 512, emphasizes problem solving using spreadsheet software. Extensive use is made of a spreadsheet solver (such as Solver in Excel) to formulate and solve practical optimization problems from such mathematical programming areas as linear, integer, and nonlinear programming, and multiple-objective decision making. Probabilistic modeling to support risk analysis in the context of spreadsheets is also studied, using native spreadsheet capabilities alone and then supplementing these capabilities with spreadsheet problem analysis, model formulation, implementation, execution and interpretation. Students do assigned computer work to reinforce and extend conceptual and operational aspects of the material.
TO 515 Business Application Development with Visual Basic for Excel
  2.25 hours Elective Terms Offered: F15(B), F16(B)
  Course Prerequisites: No credit in TO 311 or 411 
  Advisory Prerequisites: TO 512 
  Business Application Development with Visual Basic for Excel --- This course demonstrates how to use VBA in Excel to automate repetitive and time consuming tasks, generate interactive reports, manipulate charts, filter databases, and run solver. Examples of specific decision support applications, such as product mix and portfolio optimization are presented. Students will develop advanced technical skills with Visual Basic for Excel, and learn how to utilize VBA to create efficient and user friendly business applications. Specifically, students will learn how to enhance applications created in Excel with customized dialog boxes, user defined functions, event-handling procedures, customized toolbars, and more. The course also introduces general programming concepts such as the use of Variables, If statements, Loops, and assignment statements.
TO 518 Linear Programming I
  3 hours Elective Terms Offered: W15, F15, W16, F16
  Advisory Prerequisites: MATH 217, 417, or 419 
  Cross-listed with: MATH 561, IOE 510 
  Linear Programming I --- Formulation of problems from the private and public sectors using the mathematical model of linear programming. Development of the simplex algorithm; duality theory and economic interpretations. Postoptimality (sensitivity) analysis application and interpretations. Introduction to transportation and assignment problems; special purpose algorithms and advanced computational techniques. Students have opportunities to formulate and solve models developed from more complex case studies and to use various computer programs.
TO 548 Integrated Product Development
  3 hours Elective Terms Offered: W16
  Advisory Prerequisites: Instructor consent 
  Integrated Product Development --- This is a Tauber Institute sponsored elective
open to all graduate students. The course is structured so that students form into teams of four, each with mixed disciplinary backgrounds spanning business, engineering and art/architecture. A product category is announced, and each team acts as an independent firm competing in that product market. This is, each team must independently work through an integrated exercise of market research, product design, product development and manufacture, pricing, forecasting, inventory policy and competition with their product against other firms in both a web-based competition and a physical trade show.
TO 552 Operations Management
  2.25 hours Core Terms Offered: W15(A), W16(A)
  Course Prerequisites: No credit in TO 551 
  Operations Management --- All value in society is generated by transforming one set of things into other, different things. Without such transformations, there would be no wealth creation and no rationale for business. Operations management is the design and management of those transformation processes. In this course, we will provide a framework for systematically examining and understanding operation management issues. We will also expose you to a few of the most important tools and practices that are useful in managing manufacturing and service production systems.
TO 557 Applied Business Statistics and Analytics
  2.25 hours Core Terms Offered: F15(A), F16(A)
  Applied Business Statistics and Analytics --- Many business problems are too complex to rely on intuition alone to guide tactical and strategic decisions. This course covers probability, statistics, simulation, regression, and other predictive prescriptive analytic tools that enable managers to analyze business data and generate critical insights for managerial decisions.
TO 558 Operations Management
  2.25 hours Core Terms Offered: W15(A), W16(A)
  Operations Management --- Transformation processes create all value in society. This course provides a framework for systematically examining, understanding, and optimizing such processes. Through a mixture of lectures, case discussions, and hands-on simulations you will learn tools and approaches that are critical for success in a wide variety of service and production settings.
TO 563 Innovation in Global Health Delivery
  1.5 hours Elective Terms Offered: W15(A), W16(A)
  Advisory Prerequisites: TO 551 or 552 or 605 or equivalent 
  Cross-listed with: STRATEGY 562 
  Innovation in Global Health Delivery: Strategies for Enhancing Growth and Improving Access in Emerging Markets --- New business models built around operational efficiency offer tremendous potential to improve people's health worldwide. This course will examine how innovations in business models, operations, financing and supply chains are allowing far more people to access better quality healthcare. The course draws extensively on real-world case studies and latest research in this field. Class sessions will feature thought leaders from the field of global health delivery and involve lively debates on important topics. Concepts and approaches from strategy, operations, finance, and supply chain management will be used to understand what determines success and failure of businesses that seek to provide healthcare to low income populations. While there will be a strong emphasis on global health, some of the concepts will be applicable more generally to product and service delivery in emerging markets.
This course is divided into two modules: The first part of the course will focus on design of systems that ensure access to medicines, vaccines and other health technologies. The second part of the course will focus on design of systems for health service delivery.
Specific learning objectives for this course are:
- Develop an in-depth understanding of the key issues in designing and managing healthcare delivery (products and services) in emerging markets.
- Understand the important role of operations and supply chain management in improving effectiveness and efficiency of healthcare delivery in emerging markets.
- Ability to formulate strategies for market entry in the healthcare/life sciences sector in emerging markets.
- Understand the role of product and process innovation in global health delivery (through practical examples and cases).
- Understand factors that influence the adoption of new health technologies in emerging markets and operational strategies to speed up adoption.
- Understand the roles played by different agencies in the provision of healthcare in emerging markets and understand the critical value of inter-agency coordination in this context.
- Discover and understand high impact opportunities for social entrepreneurship and operational innovation to improve global health delivery.
TO 566 Applied Regression and Data Analysis
  1.5 hours Elective Terms Offered: F15(A), F16(A)
  Advisory Prerequisites: TO 502 or equivalent 
  Applied Regression and Data Analysis --- The course considers procedures for data collection, effective analysis, and interpretation for management control, planning, and forecasting. The course stresses the capabilities and limitation of statistical methods together with the considerations necessary for their effective application and correct interpretation. The course focuses primarily on multiple regression models, which includes weighted least squares, analysis of variance, and analysis of covariance. Readings, cases, examples and exercises are drawn from diverse areas of business, including finance, marketing research, accounting, economics and general management.
TO 567 Data Mining and Applied Multivariate Analysis
  1.5 hours Elective Terms Offered: W15(B), F15(B), F16(B)
  Advisory Prerequisites: TO 501 or 502 or equivalent 
  Data Mining and Applied Multivariate Analysis --- Innovations in information technology has resulted in data intensive, managerial environments. A virtual flood of information flows through systems, such as enterprise resource planning and the Internet. What to do with all this data? How can it be transformed into actionable information? The objective of this course is to introduce business leaders to powerful methods for understanding and obtaining managerial insights from multivariate data. The course is designed for both managers who have direct responsibility for producing analyses and for managers who have to interact with area experts who produce the analyses. The methods include data reduction techniques - principle component analysis, factor analysis, and multidimensional scaling; classification methods - discriminate analysis and cluster analysis; and relational methods - multivariate regression, logistic regression, and neural networks. Emphasis is placed on the application of the method, the type of data that it uses, the assumptions behind it, and interpreting the output. User friendly and powerful statistical software will be used.
TO 572 Applied Business Forecasting I
  1.5 hours Elective Terms Offered: F15(B), F16(B)
  Advisory Prerequisites: TO 502 
  Applied Business Forecasting I --- Students acquire hands-on experience with building and applying forecasting models to actual data on sales, inventories, income, earnings per share, and other variables widely encountered in business. Understanding practical issues of data acquisition, data analysis, and presentation to management in both oral and written form are emphasized. Problems of trend and seasonal forecasting in marketing, production and finance (other fields are considered, as is short-term forecasting with exponential smoothing.) The course features problem sets, cases, and a capstone case at the end of the term, done by teams.
TO 582 Action Learning Projects in Operations, Procurement, and Supply Chain Management
  7.5 hours Elective Terms Offered: F15, F16
  Course Prerequisites: TO 551 or 552 or 593 or 605 
  Action Learning Projects in Operations, Procurement, and Supply Chain Management --- This course provides an opportunity for students to deepen their knowledge in operations, procurement and supply chain management through action learning projects. Students will address a major operations or supply chain problem in a company through a 14-week action learning project. The course is taught in cooperation with AT Kearney, and students will also be provided guest lectures (by AT Kearney and Fortune 500 company executives) on how to approach consulting in operations and supply chain and on recent developments in these areas from different industries.
TO 586 Entrepreneurial Operations
  1.5 hours Core Terms Offered: W15(A)
  Entrepreneurial Operations --- This course will introduce aspiring technology-based
entrepreneurs to product and process design and costing. Technology-based innovation is packaged in or affects a physical product that adds value to people's lives. These products must be manufactured, and the design of the manufacturing process determines in large measure the COGS entry on your financial statements. Topics covered will include product design, material selection, process design, process costing, safety, quality and environmental issues, and managing a startup. Understanding how this is done, and the cost and performance of alternative materials and processes, provides the information you need to be effective in outsourcing.
TO 593 Operations Management
  2.25 hours Core Terms Offered: P15, P16
  Advisory Prerequisites: Global MBA Student 
  Operations Management --- This course introduces the basic concepts and issues in managing production systems. Readings, problems and cases are used. Major topics covered are quality assurance, line balancing, project management, production planning and scheduling and inventory control.
TO 595 Applied Business Statistics
  2.25 hours Core Terms Offered: W15(B), W16(B)
  Advisory Prerequisites: Global MBA student only 
  Applied Business Statistics --- This course covers probability, sampling distributions, confidence intervals, hypothesis testing, correlation, and simple and multiple regression analysis. Business applications are used to illustrate these concepts. The course requires familiarity with the statistical analysis package of MS Excel.
TO 605 Manufacturing and Supply Operations
  1.5 - 3 hours Elective Terms Offered: W15, W15(A), W16, W16(A), F16(B)
  Cross-listed with: MFG 605 
  Manufacturing and Supply Operations --- This course introduces the basic concepts and techniques of operations and inventory management. The foundation of the course is a system of manufacturing laws collectively knows as "Factory Physics". These laws relate various measures of plan performance such as throughput, cycle time, work-in-process, customer service variability, and quality, in a consistent manner and provide framework for evaluating and improving operations. Concepts and methods are examined via exercises and case studies.
TO 616 Project Management
  1.5 hours Elective Terms Offered: W15(B), W16(B)
  Advisory Prerequisites: TO 551/552 
  Project Management --- This course focuses on strategies and tools useful in management of non-repetitive business activities. Examples of such activities include construction, new product development and market introduction, consulting engagements, and organization restructurings. Tools to be introduced include work breakdown structure, network representation, PERT/CPM models and analysis, Gantt charts, time and cost models, PM software, and probabilistic analysis. Strategy considerations covered will include dealing with uncertainty, resource constraints, dealing with shared and requested vs. dedicated and commanded resources, and milestone management.
TO 618 Applied Business Analytics and Decisions
  3 hours Elective Terms Offered: W15, F15, W16, F16
  Applied Business Analytics and Decisions --- Objective: Strategic and tactical decisions problems that firms face became too complex to solve by naive intuition and heuristics. Increasingly, making business decisions requires "intelligent" and "data oriented" decisions, aided by decision support tools and analytics. The ability to make such decisions and use available tools is critical for both managers and firms. In recent years, the toolbox of business analytics has grown. These tools provide the ability to make decisions supported by data and models. This course prepares students to model and manage business decisions with data analytics and decision models. Specifically, the course aims to achieve the following goals:
A. To develop the ability to identify key drivers in business decisions and develop analytical models for prediction and prescription.
B. To learn a variety of tools and techniques for a range of tactical, operational, and strategic business decision problems that apply in a broad range of problems.
C. To develop the ability to communicate the results and findings of analytical solutions to different.

Specifically, the course will cover descriptive analytics (e.g., data visualization, query, data slicing), predictive analytics (e.g., forecasting, classification, simulation), and prescriptive analytics (e.g., optimization). Examples include decision problems in supply chain and logistics, retail revenue management, finance, and risk management.
TO 620 Global Supply Chain Management
  3 hours Elective Terms Offered: W15, F15, W16, F16
  Advisory Prerequisites: TO 551/552 
  Cross-listed with: MKT 640 
  Global Supply Chain Management --- This course aims to develop an understanding of key devices of supply chain performance and their interrelationship with firm strategy. Special emphasis is given to tools and skills necessary to develop solutions for a variety of supply chain design problems and inter-firm and intra-firm coordination issues.
TO 621 Logistics
  2.25 hours Elective Terms Offered: W15(B), W16(B)
  Advisory Prerequisites: TO 552 or TO 605 or TO 551 or TO 593; can be taken concurrently 
  Logistics --- This course refers to the planning, implementation and control of the efficient forward and reverse flow and storage of goods, services, and information between the point of origin and point of consumption. This course trains students in the various aspects of logistics management. Primary topics include the management of inventory, facilities, warehousing and transportation, with in-depth study of these individual elements as well as examination of integrated logistics strategy and network design. Other topics with ancillary coverage include sustainability in logistics, international logistics and globalization, competition and co-ordination, role of information flow and IT, etc.

Instruction will be by a combination of lectures, case studies and numerical assignments. Students will also run computer simulations of a logistics system, as well as learn to use a commercial logistics planning software. Guest lectures and a facility tour may also be included. The aim is to train students to perform and manage logistical functions within an organization, as well as assess and design the overall logistics strategy of the organization.
TO 623 Information Technology Strategy in Supply Chain and Logistics
  1.5 hours Elective Terms Offered: F15(B), F16(B)
  Information Technology Strategy in Supply Chain and Logistics --- Digital technologies have permeated every aspect of modern business. The capacity to execute any business model rests heavily on the approach taken by firms in organizing their information architecture. This course will explore the role of information architecture on Supply Chain and Logistics functions. We will discuss the dominant technologies traditionally used in planning, forecasting, scheduling and managing supply chains. We will then explore the emerging new technologies such as SOA ( Service Oriented Architecture) that enable firms to innovate in their business models through dynamic engagement with their supply partners in evolving global supply networks. Class discussions and case studies will include technology and business process choices in new product development, design, MRP, ERP, distribution and logistics.
TO 624 Strategic Sourcing
  2.25 hours Elective Terms Offered: F15(A), F16(A)
  Strategic Sourcing --- Strategic sourcing is the cross-functional process of critically analyzing how the organization can most effectively secure outside goods and services. This process is rooted in gaining a deep understanding of the overall value chain for the good of service of interest, and the business case behind a mutually beneficial and sustainable relationship between the buyer and supplier(s). This course teaches: analytical tools such as spend analyses (what is bought where?) and cost modeling (what drives cost?) to inform business case development: how to negotiate with suppliers using market-based (competitive bid) or multi-party (negotiation) mechanisms; and ways of structuring relationships and contracts to track results, drive sustainable performance, and mitigate risk.
TO 626 Mobile Innovation Development
  2.25 hours Elective Terms Offered: F16(B)
  Mobile Innovation Development --- Mobile platforms have emerged as the preferred vehicle for delivering business innovation to consumers. MBA students, specifically those with interests in entrepreneurship, need to understand the unique requirements of mobile business to successfully design, develop, deploy and manage business innovations. This course is designed to help students conceptualizing, designing, developing, delivering and managing technology solutions by taking them through the application (app) development process covering the full spectrum from identifying customer needs to prototyping/simulating a mobile innovation solution. Students will learn business issues related to mobile businesses including business and revenue models, customer engagement through gamification and personalization, security and privacy challenges, role of big data and mobile analytics, and integration of emerging technology directions such as wearables, smart devices loT, location based features and Social Media Integration. The course will seek to organize students in project groups with a combination of business, design and technology expertise. Project groups will then conceptualize, design and prototype/simulate a mobile business innovation throughout the course. Prior computer programming experience (including MS-Excel VBA programming) is preferred but not required.
TO 628 Advanced Big Data Analytics
  2.25 hours Elective Terms Offered: W16(B)
  Advisory Prerequisites: TO 567 or TO 618 or TO 640 or MKT 618 or instructor consent 
  Advanced Big Data Analytics --- With the ongoing explosion in availability of large and complex business datasets ("Big Data"), Machine Learning ("ML") algorithms are increasingly being used to automate the analytics process and better manage the volume, velocity and variety of Big Data. This course teaches how to apply the growing body of ML algorithms to various Big Data sources in a business context. By the end of this course students will have a better understanding of processes, methodologies and tools used to transform the large amount of business data available into useful information and support business decision making by applying ML algorithms. The focus of the course is less on the technical aspects of ML algorithms and more on the application of ML algorithms to Big Data available in different domain. The course will use R as the primary data analysis platform and Microsoft Azure as cloud platform for execution and deployment of ML projects. Prior experience with R or Microsoft Azure is not required. Students are assumed to be familiar with basic statistics.
TO 630 New Age of Innovation
  2.25 hours Elective Terms Offered: F15(A), F16(A)
  Cross-listed with: STRATEGY 630 
  New Age of Innovation --- This course introduces students to the emerging nature of competition and the critical capabilities that firms need to build to thrive in this environment. Based on the contents in a book co-authored by professors C.K. Prahalad and M.S. Krishnan, the course presents a different perspective on business innovation focusing on co-creating customer experience and global resource leverage with the social and technical architecture in the firm as the two key enablers. The specific implications for various business functions in this new approach to compete will be discussed. Students interested in functional roles or consulting will find this course useful.
TO 640 Big Data Management: Tools and Techniques
  2.25 hours Elective Terms Offered: W15(A), W16(A)
  Course Prerequisites: TO 501 or 502 or 595 
  Big Data Management: Tools and Techniques --- This course teaches the basic tools in acquisition, management, and visualization of large data sets. Students will learn how to: store, manage, and query databases via SQL; quickly construct insightful visualizations of multi-attribute data using Tableau; use the Python programming language to manage data as well as connect to APIs to efficiently acquire public data. After taking this course, students will be able to efficiently construct large data sets that source underlying data from multiple sources, and form initial hypotheses based on visualization. This class will include a lab: after learning new material in a lecture, students will work with their teams on an assigned list of tasks to learn hands-on the tools taught. A final project will enable students to integratively apply all the covered tools to a real-world context. This material is a pre-cursor to advanced statistical analysis, which is taught in other classes.
TO 701 Topics in Global Operations
  1.5 hours Elective Terms Offered: F15, F16(A)
  Advisory Prerequisites: Must be enrolled in the Tauber Institute program 
  Cross-listed with: MFG 501 
  Topics in Global Operations --- The course begins with an overview of operations in the context of corporate strategy. This is followed by a series of modules dealing with various topics of importance in operations, such as lean production systems, supply chain management, design for manufacturability, facilities planning, the environmental, legal, and ethical issues in operations, and product design. Students learn how all these aspects of operations interconnect and how they may apply to Tauber team projects.
TO 703 Tauber Institute Team Project
  1.5 - 3 hours Elective Terms Offered: W15(B), F15(A), W16(B), F16(A)
  Advisory Prerequisites: Must be enrolled in Tauber Institute program 
  Tauber Institute Team Project --- This course is a paid, multi-disciplinary team project under faculty direction at an industry site. The projects are highly challenging operations-related assignments with both business and engineering aspects. Students may choose from a wide selection of projects, ranging from high-level strategic analysis and positioning, to detailed work flow issues for a specific product line. After a successful summer on site, Tauber students present project results at an all-day conference known as Spotlight.
TO 735 Special Topics in Supply Chain Management
  1.5 hours Elective Terms Offered: F15, F16
  Special Topics in Supply Chain Management --- This course will address current topics of interest to supply chain professionals. As such the content of the course may vary in subsequent years depending on current events and emerging issues. Several of the topics will involve external guest speakers. Sample topics include:

1. Sustainability and Supply Chains (e.g., Reverse Logistics, Closed-Loop Supply Chains, Carbon foot-print)
2. Supply Chain Risk and Security
3. Corporate Social Responsibility and Ethical Issues in Supply Chain Design
4. Globalization of Supply Networks (e.g., China Factor)
5. Supply Chain Relationships and Policy Implications (e.g., retail industry practices in Category Managements, use of slotting fees, etc. Some of these practices have anti-trust implications and FTC always keeps a close watch).
6. Infrastructure issues in Supply Chain - country specific issues on role of infrastructure (roads, railways, and ports) and supply chain competitiveness
7. Special challenges in managing Supply Chains across various verticals (e.g., SCM issues differ across automotive, hi-tech, pharmaceutical, retail and students need to be sensitive to these differences.
TO 750 Independent Study
  1 - 3 hours Elective Terms Offered: W15, S15, M15, F15, W16, S16, M16, F16
  Independent Study Project --- Independent study projects, supervised by faculty, are available to graduate business students in good academic standing. To select a project, students should consult the appropriate professor about the nature of the project and the number of credit hours the work would earn. Students earn one to three credit hours per project and may elect only one study project in a term. Graduate business students should consult their program bulletins for information regarding total number of projects and credits that can be applied to their degree. To register for a project students must submit an approved Independent Study Project application, available online.