Skip to main content

Operations Management Courses (OPER) Carroll School of Management


Subject Area Course # Course Title Semester Credit Hours Expand
OPER 1021 Operations Management Fall/Spring 3
Course Description

This course is an introduction to operations management. Operations, like accounting, finance, marketing, and human resources, is one of the primary functions of every organization. Operations managers transform human, physical, and technical resources into goods and services. Hence, it is vital that every organization manage this resource conversion effectively and efficiently. How effectively this is accomplished depends upon the linkages between operating decisions and top management (strategic) decisions. The focus of the course is decision-making at the operating level of the firm. A strong emphasis will be placed on the development and use of quantitative models to assist decision making.


Instructor(s): The Department

Prerequisites: OPER1135, ISYS1021

Cross listed with:

Comments:

OPER 1031 Operations Management-Honors Fall 3
Course Description

Operations, like accounting, finance and marketing is one of the primary functions of every organization. Operations managers transform human, physical and technical resources into goods and services. Hence, it is vital that every organization manage this resource conversion effectively and efficiently. How effectively this is accomplished depends upon the linkages between operating decisions and strategic decisions. The focus of the course is decision-making at the operating level of the firm. A strong emphasis will be placed on the development and use of quantitative models to assist decision-making. The course is taught in an interactive setting and requires class participation.


Instructor(s): The Department

Prerequisites: OPER1135, ISYS1021, OPER2235

Cross listed with:

Comments: Core course for the CSOM Honors Program

OPER 1135 Business Statistics Fall/Spring 3
Course Description

This course focuses on the analytical tools of statistics that are applicable to management practice and decision making. Topics include descriptive statistics, probability, random variables, sampling distributions, estimation of parameters, hypothesis testing, and regression.


Instructor(s): The Department

Prerequisites: None

Cross listed with:

Comments: This course is not open to students who have completed BIOL2300.

OPER 1145 Business Statistics--Honors Spring 3
Course Description

This course focuses on developing an in-depth understanding of the analytical tools of statistics that are applicable to management practice and decision making. Topics include descriptive statistics, probability, random variables, sampling distributions, estimation of parameters, hypothesis testing, and both simple and multiple regression.


Instructor(s): Richard McGowan, S.J.

Prerequisites: None

Cross listed with:

Comments:

OPER 2235 Math for Management Science Fall/Spring 3
Course Description

Topics include linear and integer programming, decision analysis, non-linear optimization, and computer solutions using Excel.


Instructor(s): The Department

Prerequisites: MATH100 or equivalent, ISYS1021, and OPER1135 which may be taken concurrently.

Cross listed with:

Comments:

OPER 2245 Math for Management Science-Honors Fall 3
Course Description

Topics include linear and integer programming, decision analysis, non-linear optimization, and computer solutions using Excel.


Instructor(s): CHOD

Prerequisites: MATH100 or equivalent, ISYS1021/ISYS1031, and OPER1135/OPER1145 which may be taken concurrently.

Cross listed with:

Comments: Core course for the CSOM Honors Program

OPER 2255 Managing Projects Spring 3
Course Description

This course takes a holistic approach to planning, organizing, and controlling projects. It looks at how projects are uniquely suited to support an organization's strategy in a fast-paced business environment. Topics include project life cycle, algorithms and statistical concepts underlying network planning models, managing risk and resource allocation. Microsoft Project will be used as to support the planning and monitoring phases of project management. The conceptual part of this course is framed with an eye to the behavioral realities a manager faces and the psychology of managing project teams.


Instructor(s): The Department

Prerequisites: None

Cross listed with: ISYS2255

Comments:

OPER 3161 Customer Relationship Management Spring 3
Course Description

A fundamental shift has occurred in marketing from managing and marketing products to understanding and managing customers. This necessitates an understanding of the customer management process and the ability to develop and grow profitable customer relationships. In this course, students will learn the critical tools needed for successful customer management. It teaches strategic and analytic skills relating to customer selection and acquisition, customer management, customer retention, and customer lifetime value. As firms seek to make their marketing investments financially accountable, it also provides students with an understanding of the link between marketing and finance.


Instructor(s): Kay Lemon

Prerequisites: MKTG1021 or MKTG1031, and MKTG2153 or Strong Statistical Coursework with permission of instructor

Cross listed with: ISYS3161 MKTG3161

Comments:

OPER 3253 Digital Commerce Fall 3
Course Description

Electronic commerce lies at the forefront of modern marketing and strategic management, altering the competitive landscape for large and small corporations alike. The Internet and new media are reshaping industries, creating new opportunities, and challenging existing commercial models and relationships. Managers will need to understand the underpinnings of electronic commerce in order to make informed decisions about the future their firms and industries. Using a managerial perspective, this course focuses on key issues related to e-commerce industry, including strategy development, competitive advantage, current and emerging technologies, pricing, distribution channels, promotion, and advertising.


Instructor(s): Mary Cronin

Prerequisites: None

Cross listed with: MKTG3253 ISYS3253

Comments:

OPER 3304 Quality Management Spring 3
Course Description

This course focuses on quality management as a critical operations management capability. Students will explore a variety of quality programs and tools with an emphasis on the Six Sigma approach to quality analysis and process improvement in both services and goods producing operations. During the course students will have an opportunity to pursue Six Sigma Green Belt certification.


Instructor(s): Joy Field

Prerequisites: OPER1021, OPER1135

Cross listed with:

Comments:

OPER 3310 Sports Analytics Fall 3
Course Description

The focus of the course will be the development and use of quantitative analysis, particularly mathematical and statistical models, that are widely used to assist in decision making at all levels in the management of professional sports organizations. Concentration will be on player, team, and organizational performance in baseball, basketball, and football for the purpose of tactical and strategic decisions. If time permits, applications in other sports (e.g., golf) will be discussed, as well as collegiate baseball.


Instructor(s): Jeffrey Ringuest

Prerequisites: Students taking this course should possess a passion for sports and numbers, working knowledge of basic probability and statistics, strong Excel skills. Students should have successfully completed OPER1135/OPER1145 or a similar statistics course. and Must have successfully completed OPER2235

Cross listed with:

Comments: Students taking this course should possess a passion for sports and numbers, working knowledge of basic probability and statistics, strong Excel skills.

OPER 3332 Supply Chain Management Fall 3
Course Description

A supply chain consists of all parties involved in fulfilling a customer request, including suppliers, manufacturers, distributors, and retailers. Over the last decade, firms have started focusing on supply chain management as a source of competitive advantage. There’s a realization that no company can do better than its supply chain. This course will provide students with an overview of the concepts, models, and methods that are important for the design and operation of modern, global supply chains. Classes are hands-on, with many opportunities to analyze cases and play simulation games.


Instructor(s): John Neale

Prerequisites: OPER1021

Cross listed with:

Comments:

OPER 3375 Operations Strategy and Consulting Fall 3
Course Description

This course examines concepts, principles, and techniques for formulating, implementing, and evaluating operations strategy. It links strategic and tactical operational decisions to creation of a competitive advantage. Topics include operations strategy content and process, service operations, capacity and facilities strategy, supply chain management, process design and technology choice, and quality and productivity improvement. Case studies are used to illustrate concepts covered in the course. In collaboration with a consulting firm, students also learn how to develop and deliver a consulting presentation. These skills are applied to a mock consulting project.


Instructor(s): Joy Field

Prerequisites: None

Cross listed with:

Comments: Required for the Operations and Technology Management concentration.

OPER 3384 Predictive Analytics Spring 3
Course Description

The Predictive Analytics course teaches advanced statistics used in business. The first third of the course goes into greater depth on traditional statistics than introductory courses and covers additional advanced techniques for hypothesis testing. The other two-thirds focuses on the new methods developed for building predictive models based on large data sets. These include advanced regression and logistic regression, k-Nearest neighbors, neural networks, and decisions trees.


Instructor(s): Pieter VanderWerf

Prerequisites: ISYS1021, OPER1135 or other appropriate statistics course

Cross listed with:

Comments:

OPER 3385 Applied Econometrics for Business Spring 3
Course Description

This course provides an intensive introduction to methodologies for applying statistical economic techniques to problems in a variety of disciplines. Techniques for both time series and cross-sectional data will be explored, and real data and cases will be used extensively.


Instructor(s): Stephanie Jernigan

Prerequisites: OPER1135/1145 or other appropriate statistics course

Cross listed with:

Comments:

OPER 4921 Advanced Independent Study Fall/Spring 3
Course Description

Investigation of a topic under the direction of a faculty member. Student develops a paper with publication potential


Instructor(s): The Department

Prerequisites: None

Cross listed with:

Comments: By arrangement.

OPER 6604 Management Science Spring 3
Course Description

This course provides an overview of the concepts and methods of Management Science, the application of mathematical modeling and analysis to management problems. The primary goal of the course is to help you become a more skilled builder and consumer of models and model‐based analyses. The course will show you how to use Excel spreadsheets effectively for business analysis and introduce you to some of the more important analytic methods including optimization, simulation, and data mining. These methods will be applied to problems arising in a variety of functional areas of business, including operations, finance, and marketing.


Instructor(s): The Department

Prerequisites: OPER1135, OPER7705, or OPER7725 and familiarity with Excel

Cross listed with:

Comments:

OPER 6605 Risk Analysis and Simulation Fall 3
Course Description

This class will use cases and readings to learn to evaluate operational risk, develop risk controls, monitor risk, and develop operational resilience in response to disasters. Readings and discussions focusing on industries as diverse as health care, manufacturing, banking, and insurance will serve as background and motivation for learning analytical and data analysis tools essential for modern managers such as Monte Carlo simulation, discrete event simulation, and flexible supply chain development. Competence in Excel and basic statistics will be valuable in this course.


Schedule: Periodically

Instructor(s): Stephanie Jernigan

Prerequisites: A degree of mathematical literacy including statistics

Cross listed with:

Comments:

OPER 6606 Forecasting Techniques Fall 3
Course Description

The theory and practice of applied time series analysis will be explored. First the different segments (trend, seasonality, cyclical and irregular) of a time series will be analyzed by examining the Autocorrelation functions (ACF) and Partial Autocorrelation functions (PACF). The specifics model to model the various types of time series include linear regression, panel regression, seasonal decomposition, exponential smoothing, ARIMA modeling as well as combining models.


Instructor(s): Richard McGowan, S.J.

Prerequisites: Undergraduate prerequisite-ECON1151orECON1155 Statistics/Graduate prerequisite -OPER7725

Cross listed with: MFIN6606 ECON2229

Comments:

OPER 6607 Machine Learning for Business Intelligence Spring 3
Course Description

Machine learning (ML) has been a popular topic for data scientists and analysts. The goal in ML is to learn from existing data and extract useful information such as patterns, behaviors and trends. We can then use this information to predict future activity. The ability of learning patterns from data and making accurate predictions on new instances makes ML a powerful tool for Business Intelligence since it helps us transform the raw data into better decisions. This course will not dive into the technical details of ML algorithms but rather focus on how to use these algorithms in Business Intelligence applications. We will study business applications including but not limited to customer segmentation, propensity and churn.


Schedule: Periodically

Instructor(s): The Department

Prerequisites: OPER1135, OPER7705, or OPER7725

Cross listed with:

Comments:

OPER 6608 Pricing and Revenue Optimization Fall 3
Course Description

Pricing and Revenue Optimization (PRO) is one of the key business functions that can significantly influence firm performance. PRO employs analytical tools to maximize profitability from limited resources and capacity. Examples of PRO activities include price setting, price adjustments, price segmentation, revenue management, capacity allocation, and discount management. Understanding PRO concepts helps managers tackle fundamental but difficult business decisions at the interface of operations, marketing, and economics. In this course, students will be introduced to a number of pricing and revenue optimization techniques, applicable to various types of businesses. To enhance understanding and ensure the appropriate application of the techniques, ample examples and case studies will be interactively discussed.


Instructor(s): The Department

Prerequisites: OPER1135, OPER7705, or OPER7725

Cross listed with:

Comments:

OPER 6609 The Business of Sports Fall 3
Course Description

The sports industry is a multi-billion dollars business and has become a pervasive element in our economy and society. This course will profile many aspects of the sporting landscape to highlight the diverse nature of the decisions, and their consequences, that confront managers relative to various financial and strategic issues in this global industry.


Instructor(s): Warren Zola

Prerequisites: None

Cross listed with:

Comments:

OPER 6610 Sports Analytics Fall 3
Course Description

The focus of the course will be the development and use of quantitative analysis, particularly mathematical and statistical models, that are widely used to assist in decision making at all levels in the management of professional sports organizations. Concentration will be on player, team, and organizational performance in baseball, basketball, and football for the purpose of tactical and strategic decisions. If time permits, applications in other sports (e.g., golf) will be discussed, as well as collegiate baseball.


Schedule: Periodically

Instructor(s): The Department

Prerequisites: Students taking this course should possess a passion for sports and numbers, working knowledge of basic probability and statistics, strong Excel skills.

Cross listed with:

Comments:

OPER 6614 Quality Management Spring 3
Course Description

This course focuses on quality management as a critical operations management capability. Students will explore a variety of quality programs and tools with an emphasis on the Six Sigma approach to quality analysis and process improvement in both services and goods producing operations. During the course students will have an opportunity to pursue Six Sigma Green Belt certification.


Schedule: Periodically

Instructor(s): Joy Field

Prerequisites: (Must have successfully completed OPER7700 and Must have successfully completed OPER7705) or (Must have successfully completed OPER1021 and Must have successfully completed OPER1135)

Cross listed with:

Comments:

OPER 7700 Operations Management Fall/Spring/Summer 3
Course Description

Operations, like accounting, finance and marketing, is one of the primary functions of every organization. Operations managers transform human, physical and technical resources into goods and services. Hence, it is vital that every organization manage this resource conversion effectively and efficiently. How effectively this is accomplished depends upon the linkages between operating decisions and top management (strategic) decisions. The focus of the course is decision-making at the operating level of the firm, converting broad policy directives into specific actions within the organization. Strong emphasis will be placed on the development and use of quantitative models to assist in decision making.


Instructor(s): Prof. William Driscoll

Prerequisites: Must have successfully completed OPER7705

Cross listed with:

Comments:

OPER 7704 Economics Fall/Spring 3
Course Description

This course covers microeconomics and macroeconomics. The microeconomics is a fairly traditional treatment of price theory which develops an analytic framework of demand and supply. Upon this base, implications of the various market structures are considered within the usual structure/conduct/performance models with respect to behavior, price, output, and welfare implications. In macroeconomics, the variables of focus are interest rates, inflation, and unemployment. Based on an initial backdrop of the naive aggregate supply and aggregate demand concept, the Keynesian and monetary models are developed and fiscal and monetary policy explored. International trade, exchange rates, and balance of payments are also examined.


Instructor(s): David Murphy

Prerequisites: None

Cross listed with:

Comments:

OPER 7705 Statistics Fall/Spring/Summer 3
Course Description

This course focuses on the analytical tools of statistics that are applicable to management practice. The course begins with descriptive statistics and probability and progresses to inferential statistics relative to central tendency and dispersion. In addition to basic concepts of estimation and hypothesis testing, the course includes coverage of topics such as analysis of variance and regression.


Instructor(s): The Department

Prerequisites: None

Cross listed with:

Comments:

OPER 7706 Analytics for Managers Fall/Summer 3
Course Description

This course focuses on the use of quantitative methods to support managerial decisions. Fundamental to this type of decision analysis is a model, which is a representation of reality. A child enjoys a model car or a model train. An engineer uses a model of an airplane wing in a wind tunnel. An architect uses a set of blueprints as a model to illustrate what is to be built. The National Weather Service uses computer models to predict the track of a hurricane. In this course we will see how mathematical models and modern spreadsheet software can be used to support managerial decision analysis. We will pay special attention to the assumptions and limitations of using mathematical models as part of the iterative process of making operational and strategic management decisions. Examples will be used to illustrate this process in real world situations.


Instructor(s): Pieter VanderWerf and Jiri Chod

Prerequisites: Must have successfully completed OPER7705

Cross listed with:

Comments:

OPER 7716 Data Analytics 1: Modeling Fall 1
Course Description

This course focuses on the use of quantitative methods to support managerial decisions. Fundamental to this type of decision analysis is a model, which is a representation of reality. A child enjoys a model car or a model train. An engineer uses a model of an airplane wing in a wind tunnel. An architect uses a set of blueprints as a model to illustrate what is to be built. The National Weather Service uses computer models to predict the track of a hurricane. In this course we will see how mathematical models and modern spreadsheet software can be used to support managerial decision analysis. We will pay special attention to the assumptions and limitations of using mathematical models as part of the iterative process of making operational and strategic management decisions. Examples will be used to illustrate this process in real world situations.


Instructor(s): Pieter VanderWerf

Prerequisites: None

Cross listed with:

Comments:

OPER 7720 Operations Management Spring 2
Course Description

This course discusses the resource structure and the execution of activities that produce goods or deliver services. It focuses on the design and integration of the supply chain processes that support a company's business strategy. It offers a blend of the theory and practice of operations management. At the same time, the course shows the role of quantitative techniques in guiding the operations decisions. The pedagogy involves lecture, readings, and discussion of case studies.


Instructor(s): M.H. Safizadeh

Prerequisites: OPER7725

Cross listed with:

Comments:

OPER 7725 Statistics Fall 2
Course Description

This course focuses on the analytical tools of statistics that are applicable to management practice. The student will learn how to deal with masses of data and convert those data into forms useful for management decision making. The student will learn how to distinguish important signals in the data from ever present noise. Topics include descriptive statistics and includes graphs, histograms, and numerical measures as well as inferential statistics such as hypothesis testing, confidence intervals, regression and correlation. All techniques are taught in the context of managerial decisions.


Instructor(s): The Department

Prerequisites: None

Cross listed with:

Comments:

OPER 8011 Customer Relationship Management Fall 3
Course Description

A fundamental shift has occurred in marketing from managing and marketing products to understanding and managing customers. This necessitates an understanding of the customer management process and the ability to develop and grow profitable customer relationships. In this course, students will learn the critical tools needed for successful customer management. It teaches strategic and analytic skills relating to customer selection and acquisition, customer management, customer retention, and customer lifetime value. As firms seek to make their marketing investments financially accountable, it also provides students with an understanding of the link between marketing and finance.


Instructor(s): Kay Lemon

Prerequisites: MKTG7700 or MKTG7720 and MKTG8001 or Strong Statistical Coursework with permission of instructor

Cross listed with: ISYS8011 MKTG8011

Comments:

OPER 8014 Quality Management Spring 3
Course Description

This course focuses on quality management as a critical operations management capability. Students will explore a variety of quality programs and tools with an emphasis on the Six Sigma approach to quality analysis and process improvement in both services and goods producing operations. During the course students will have an opportunity to pursue Six Sigma Green Belt certification.


Schedule: Periodically

Instructor(s): Joy Field

Prerequisites: Must have successfully completed OPER7700 and Must have successfully completed OPER7705

Cross listed with:

Comments:

OPER 8015 Management of Technology and Innovation Spring 3
Course Description

Examines the strategic role of technology and innovation in the survival and success of firms. Students will learn how to: define a technology strategy, identify promising technical opportunities, evaluate and select among competing technologies, nurture the innovative capabilities of the firm, and manage new product development and R&D. Case examples will focus primarily on high technology and service industries.


Instructor(s): Robert Fichman

Prerequisites: None

Cross listed with: ISYS8015

Comments:

OPER 8031 Managing Projects Spring 3
Course Description

This course takes a holistic approach to planning, organizing, and controlling projects. It looks at how projects are uniquely suited to support an organization's strategy in a fast-paced business environment. Topics include project life cycle, algorithms and statistical concepts underlying network planning models, managing risk and resource allocation. It emphasizes the use of effective interpersonal and communication skills to organize, plan, and control the project team.


Instructor(s): The Department

Prerequisites: OPER7700 or OPER7720

Cross listed with:

Comments:

OPER 8032 Supply Chain Management Spring 3
Course Description

This course will dive deeply into the design and management of supply chains. Students will develop an understanding of the complexity associated with the supply, distribution, and sourcing decisions related to supply chains in domestic and global markets for both services and good producing operations. The course will include discussions, case analysis, and interactive exercises and simulations.


Instructor(s): The Department

Prerequisites: OPER7700 or OPER7720

Cross listed with:

Comments:

OPER 8044 International Entrepreneurship Spring 3
Course Description

The process of launching a venture, or working for a start-up is exciting and overwhelming. Operating the business on an international level brings with it complexity, exhilaration and, even, frustration. During the semester, we will examine more than ten countries, and analyze operations at different entrepreneurial process stages. Some will end up becoming (or already are) public corporations, larger rivals will acquire others, and some will cease operations. We'll discuss market entry, alliances, negotiations, managing growth and financing. Support from local governments, and the cultural, ethical, and human resource issues facing the entrepreneur will also be touched upon.


Instructor(s): Gregory Stoller

Prerequisites: None

Cross listed with:

Comments:

OPER 8053 Digital Commerce Spring 3
Course Description

This course provides a management perspective on Digital Commerce technologies, competitive strategies and emerging trends. Students will learn the key aspects of internet and wireless technology that drove the proliferation of dot.com start ups, innovative digital business models, Hype Cycles, industry disruption, and global growth. We will analyze best practices in online retail and discuss today's privacy, regulatory and digital security challenges as global digital commerce migrates to smartphones and the Internet of Things. Digital Commerce is a hybrid course. It will be divided about 50/50 between online, self-paced modules and in person class sessions in Fulton 310 (with one real-time webinar). Students must participate in all the real time class meetings, which will take place on the following dates: Feb 6, Feb 27, Mar 20, Apr 10, Apr 24, and May 8.


Instructor(s): Mary Cronin

Prerequisites: None

Cross listed with: ISYS8053 MKTG8053

Comments:

OPER 8054 Management of Service Operations Fall 3
Course Description

The ever-increasing contribution of the service sector to the growth of GDP and the growing dependence of a highly automated manufacturing sector on service industries make prosperity of service operations critical to the United States' ability to compete in international markets. This course focuses on issues that are essential to the success of a service-oriented operation. Topics include focusing and positioning the service, service concept and design, operations strategy and service delivery systems, integration of functional activities, work force, and quality control issues. Much emphasis is placed on case studies and analysis of real-world scenarios.


Instructor(s): Hossein Safizadeh

Prerequisites: OPER7700 or OPER7720

Cross listed with:

Comments:

OPER 8497 Directed Readings Fall/Spring 3
Course Description

Extensive reading under the direction of a faculty member. Student presents written critiques of the reading as well as comparisons between readings.


Instructor(s): The Department

Prerequisites: None

Cross listed with:

Comments:

OPER 8498 Directed Research I Fall/Spring 3
Course Description

Investigation of a topic under the direction of a faculty member. Student develops a paper with publication potential.


Instructor(s): The Department

Prerequisites: Permission of the department chairperson

Cross listed with:

Comments:

OPER 8499 Directed Research II Fall/Spring 3
Course Description

Investigation of a topic under the direction of a faculty member. Student develops a paper with publication potential.


Instructor(s): The Department

Prerequisites: Permission of the department chairperson

Cross listed with:

Comments: