Operations and Information Management Course Descriptions


OPIM 5110 – Operations Management

An operations manager is concerned with designing, operating and controlling a system for producing goods and services. Design decisions include selecting a process technology, organizing jobs, selecting vendors, and developing the location and layout of facilities. Operating the system involves planning and scheduling work and material flow, controlling quality, and managing inventories. General systems concepts and models are developed and applied. Topics include process flow analysis, inventory systems, waiting line analysis, quality design, capacity resource planning, project management, and integrating operations with the firm’s strategic plans.
Prerequisite: BADM/OPIM 5103

OPIM 5185 – Introduction to Data Analytics and Management Information Systems

Introduction to key issues and concepts in data analytics. Delineates differences between standard statistical analysis, including model estimation and evaluation, and the data driven approach of data analytics. Emphasis on critical issues underlying almost all data analytics projects, including data quality (accuracy, objectivity, and reliability), missing values, outliers, and data standardization. Introduction to basic analytics techniques and processes. Prepares students to execute IT-related responsibilities effectively, and to be able to do so even as the set of available technologies changes over time. Presents students with frameworks that let them analyze business situations involving IT in a structured way. Students will develop sophisticated understanding of the links between IT, business strategy, and business process. Students will also gain an appreciation of the organizational and management practices that complement IT investments.
Prerequisite: BADM/OPIM 5103

OPIM 5270 – Introduction to Project Management

Business objectives are increasingly solved by projects. Many projects fail to produce the expected results, are over budget, or not completed on time. Good project management significantly improves the likelihood of a successful project. This course will examine the project management process and the management of a portfolio of projects, with focus on techniques to overcome the pitfalls and obstacles that frequently occur during a typical project. It is designed for business leaders responsible for implementing projects, as well as beginning and intermediate project managers.
Prerequisite: BADM/OPIM 5103

OPIM 5272 – Business Process Modeling and Data Management

Managing and improving a business process adds to the bottom line, and data is a core business asset derived from multiple business processes. The need to manage both efficiently and use them effectively has assumed paramount importance. This course introduces market‐leading techniques that help to identify and manage key data from business processes. It provides the essential tools required for data mining and business process re‐engineering. It combines lecture, class discussion and hands‐on computer work in a business‐oriented environment.
Prerequisite: OPIM 5185

OPIM 5602 – Mathematical Analysis for Business

A review of algebra followed by introduction to functions, limits, differentiation, integration, vectors, matrices and linear programming. The course includes examples and applications of mathematical topics to business problems.

OPIM 5603 – Statistics in Business Analytics

Advanced level exploration of statistical techniques for data analysis. Students study the concepts of population and sample; discuss the difference between population parameters and sample statistics, and how to draw an inference from known sample statistics to usually unknown population parameters. Topics will focus on rigorous statistical estimation and testing. Prepares students with the skills needed to work with data using analytics software.

OPIM 5604 – Predictive Modeling

Introduces the techniques of predictive modeling in a data-rich business environment. Covers the process of formulating business objectives, data selection, preparation, and partition to successfully design, build, evaluate and implement predictive models for a variety of practical business applications. Predictive models such as neural networks, decision trees, Bayesian classification, and others will be studied. The course emphasizes the relationship of each step to a company’s specific business needs, goals and objectives. The focus on the business goal highlights how the process is both powerful and practical.
Pre/Corequisite: OPIM 5603

OPIM 5641 – Business Decision Modeling

The course discusses business modeling and decision analysis. Covers topics such as optimization, simulation, and sensitivity analysis to model and solve complex business problems. As spreadsheets are often used as software tools for such problem solving, the course will emphasize developing high quality spreadsheets to ensure that the objectives of the model are clear, defining the calculations, good design practices, testing and presenting the results.
Prerequisite: BADM/OPIM 5103

OPIM 5671 – Data Mining & Business Intelligence

Discusses data mining techniques that can be utilized to effectively sift through large volumes of operational data and extract actionable information and knowledge (meaningful patterns, trends, and anomalies) to help optimize businesses and significantly improve bottom lines. The course is practically oriented with a focus of applying various data analytical techniques in various business domains such as customer profiling and segmentation, database marketing, credit rating, fraud detection, click‐stream Web mining, and component failure predictions.
Prerequisite: OPIM 5604

OPIM 5894 – Enterprise Information Security and Auditing

Today, business information is stored and processed electronically.  The ready availability of detailed digital information facilitates significant business efficiencies, but also poses threats that must be understood and dealt with.  Since digital information is used in virtually all business processes and functions, any loss, misuse, or unintentional modification of important and sensitive information can have catastrophic consequences.

This course examines the business risks arising from the digital information processing and identify ways to prevent, detect, and mitigate negative consequences of information security breaches.  Three broad areas are stressed. First, students will be introduced to the basic principles of information security, its role in reducing information risk exposure, and tools and solutions that can be used to prevent information loss or costly business interruptions.  Second, students will explore the role of information technology governance in business organizations, discuss important relevant laws (for example, Sarbanes-Oxley Act of 2002), reporting requirements, and industry standards for IT Governance (for example, COBIT).  Students will see how the requirements are implemented by companies and their impact on driving sound business decisions. Third, students will study the process of information systems audit, IT audit tools, and audit procedures to help in detection and prevention of fraud.
Prerequisite: OPIM 5165

OPIM 5894 – Global Supply Chain Management

The International Supply Chain Management course will cover both business process analysis and supply chain management with emphasis on viewing the supply chain as a process that may include international components. Business process analysis aims at helping firms add value and compete by improving and redesigning their key processes. Supply chain management deals with the management of material and information in production-distribution networks. Reducing costs, increasing product availability and increasing responsiveness to changes in the market are the focus of supply chain management.

OPIM 5894 – Web Design and Evaluation

A well designed web site will clearly communicate a specific message to a target audience that will result in accomplishing specific goals. This qualitative course will cover a range of topics that factor into the proper design and development of a web site throughout its life-cycle. These topic areas will provide the student with an understanding of: the systems process used to manage a project; business functions; the target audiences; fundamental design principles; the technology and skills used to develop, host, manage and maintain a site; the logistics involved in launching a site; the tools and techniques used to evaluate and improve the site at various stages of its life-cycle; channel management and customer-relations management. There is no programming required in this course, however, students will apply the principles learned in this course to evaluate a series of web site designs and make a final presentation of their findings.
Prerequisites: OPIM 5165