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Managerial Statistics

OPIM 5103 - Managerial Statistics

A manager is concerned with recognizing and formulating statistical problems in business decision-making. This course covers some of the more familiar classical inference procedures and the basic statistical concepts that are often essential to the interpretation of business data. Methods of understanding variability, and detecting changes are explored using descriptive, exploratory, and inferential statistics found in widely available statistical packages. Topics include: discrete and continuous random variables, sampling, confidence intervals, hypothesis testing, and linear regression.

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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.

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OPIM 5165 - Management Information Systems

A manager is concerned with the solution of business problems by exploiting the information resources that are becoming available through the explosion in information technology. The emphasis is on business applications and how to structure the development and use of information systems for maximum benefit to the organization. Topics include: decision support systems, impact of the computer upon individual and organizations, competitive implications, technology change, telecommunications, and control of information systems resources.

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OPIM 5181 - Introduction to Data Analytics

A developing major focus in information systems is the area of data analytics. This course introduces students to key issues and concepts in data analytics. The course begins by delineating the differences between standard statistical analysis, including model estimation and evaluation, and the data driven approach of data analytics. A good deal of emphasis is placed on critical issues underlying almost all data analytics projects, including data quality (accuracy, objectivity, and reliability), missing values, outliers, and data standardization. The course introduces students to basic analytics techniques and processes.

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OPIM 5182 - Management Information Systems

Information technology (IT) has had a dramatic impact on how individuals and organizations work, and is an important force shaping entire industries and value creation by firms. Most business school graduates will have IT related responsibilities during their careers, no matter which functional area they are in, and will be involved in efforts to select, adopt, and exploit information technologies in support of business goals. The goal of this course is to prepare students to execute these responsibilities effectively, and to be able to do so even as the set of available technologies changes over time. The course presents students with frameworks that let them analyze business situations involving IT in a structured way. It will also help them develop sophisticated understanding of the links between IT, business strategy, and business process. They will also gain an appreciation of the organizational and management practices that complement IT investments.

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OPIM 5183 - Introduction to Operations Management

Operations Management deals with the management of value-creating processes that transform inputs into outputs (goods and services). This course provides an overview and introduction to operations management. It focuses on the process view of operations and develops a framework for process analysis and improvement with and without variability.

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OPIM 5184 - Operations and Supply Chain Management

Built on the previous module, this course covers critical and specific topics in operations management, including inventory, quality, lean operations, and operations across firms (supply chains). It introduces both qualitative strategies and quantitative models concerning these topics.

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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.

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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.

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OPIM 5500 - Field Study Internship

This course is intended to give students real-world experiences in applications of analytics and/or project management through an internship or industry project undertaken individually with a company under the joint supervision of a faculty member and the student’s field supervisor. Student performance will be evaluated on the basis of an appraisal by the field supervisor and a detailed written report submitted by the student.

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OPIM 5501 - Visual Analytics

This course explores techniques and best practices in visualizing data. From simple cross tabs to more complex multi-dimensional analysis, the course explores why particular data visualizations can better illustrate patterns and correlations inherent in the data itself. Further, the course examines cognitive function and its role in data visualization designs; showing that data visualization can reveal answers and questions alike. Utilizing state of the art software, the use of parameters, filters, calculated variables, color, space and motion to visually articulate the data are surveyed. Moreover, the use of dashboards to quickly reveal data-driven information that has daily relevance to executives, managers, supervisors and line personnel are investigated. Lastly, common pitfalls in visualization design and why less is often more are considered.

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OPIM 5502 - Big Data Analytics with Hadoop

This course offers an in-depth hands-on exploration of various cutting-edge information technologies used for big data analytics. The first half of the course will focus on using big data management techniques for ETL (extract-transform-load) operations. The second half of the course will focus on using big data analytics tools for data mining algorithms including classification, clustering, and collaborative filtering. The course is extremely hands-on, and will require you to spend significant time working with large datasets. Students are expected to have taken at least one course in data modeling and one course in data mining (please see pre-requisites) or have significant related work experience. During the course, students should expect to become familiar with the Unix operating system, as well as with programming in Python. During the course you may be required to install some software on your computers on your own, with very little support, if any, from the instructor or anyone else. You should be willing to trouble-shoot any issues during installation, drawing help from Google searches.

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OPIM 5503 - Data Analytics using R

Data analytics has emerged as one of the most important new areas with high demand in industry. R, an open source domain specific language (DSL) focused on data analytics, has grown in importance and usage in corporations, because it is free to use, and is being constantly improved to include the latest statistical techniques from experts around the world. This course helps students develop proficiency in data analytics using R for statistical inference, regression, predictive analytics, data mining, and Text mining: analyzing twitter and social network data. It combines lectures, hands-on exercises, business case discussions, and student presentations in a professional environment.

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OPIM 5504 - Adaptive Business Intelligence

Adaptive Business Intelligence (ABI) is a discipline that combines predictions, optimization, and adaptability to create decision support systems in process management. The goal is to answer several fundamental management questions: What is likely to happen in the future? What is the best decision right now? How to adapt to change? The study of these systems is an important area of research in information technology because of their wide range of applications to situations where the number of possible solutions is so large that it precludes a complete search for the best answer, decisions have to be made in a time changing environment, the problems are heavily constrained, and there are many (possibly conflicting) objectives. The goal of the course is to teach the use of techniques from statistics and optimization to implement ABI systems. The course will introduce students to the fundamentals of decision support systems, genetic algorithms, ABI systems, and their applications to diverse management contexts. In addition, students will learn how to use tools such as Excel VBA, Evolutionary Solver, and RExcel (R language for statistical analysis) to develop ABI applications.

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OPIM 5505 - Analytical Consulting for Financial Services

Analytical consulting is where business analytics and project management meet. Whether you work as an external consultant or an internal staff member, much of the work you do will involve data analytics and project management skills. This is particularly true in financial services, where there is increasing convergence between operations, marketing and finance in industries such as banking, credit cards, brokerage, insurance, mortgages, etc. Because of the number of customers and the repeat nature of interactions over the customer’s lifetime, the situation in financial services is different from the typical single encounter service operations. Usually there is a lot of data available for analysis and decision making, and a wide variety of tools and techniques are applicable from deterministic to stochastic modeling, from analytical methods to simulation. This course will expose students to a wide array of real consulting situations in business analytics operations and financial services, and will teach students methods of addressing these problems using spreadsheets, simulation, and optimization methods. While consulting encompasses many specific tasks and requires broad functional knowledge, there is an increased need and appreciation of the usefulness of analytical consulting.

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OPIM 5506 - Managing International Development Projects

Organizations of all kinds around the world today, whether private or public, large or small, for profit or not for profit, achieve their strategic and operational goals by carrying out projects. The emphasis of this course is on the application of project management knowledge, tools, and techniques to the planning, organization, and delivery of international development projects and programs. Funded by institutions (e.g., multilateral or regional development banks, United Nations associated agencies, bilateral government agencies, non-governmental organizations, global funds), these projects/programs cover a wide range of sectors and focus on poverty reduction/alleviation and improving living standards of people in developing and emerging countries, assistance to victims of natural or people caused disasters, capacity building and development of basic physical and social infrastructures, and on promoting environmentally sound development and basic human rights protection.

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OPIM 5507 - Advanced Project Management Topics

This course uses case studies to illustrate the variety of projects and the issues involved in managing them from resource concerns to the criticality for demand estimation; from conflicting objectives of stakeholders to social responsibility issues; from knowing the customer to project finance challenges. These cases inductively teach advanced topics in the management of large projects, such as planning and scheduling issues, costing and budgeting, staffing and organizing, project finance structuring, sustainability and environmental issues, and the challenges in planning and execution of these complex projects. This course also covers agile project management methodologies for effectively and efficiently undertaking knowledge-based projects of today. Moreover, it offers students practical guidance and experience around the process of initiating, delivering, and evaluating analytics projects.

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OPIM 5601 - Technical Communications in Business Analytics and Project Management

This class will review the foundational knowledge necessary for MSBAPM student to be a well-equipped analytics professional. Communication skills are essential to convey technical analytical content. Topics such as Public Speaking, Emotional Intelligence, Non-Verbal Communication, Requirements Gathering, and Etiquette via multiple modes of Communications (email, phone, in person, one to one, and one to group) and more will be discussed and practiced. Such skills are critical to professional success as the industry is changing to require technical depth and also the ability to connect it to the business. Topics covered include: Communication Skills – Bridging the Gap between the Technical and Business Presentations Skills – Technical Content to the Business Networking with Analytics Professionals

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OPIM 5602 - Mathematical Analysis for Business

Review of algebra followed by introduction to functions, limits, differentiation, integration, vectors, matrices and linear programming. Examples and applications of mathematical topics to business problems.

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OPIM 5603 - Statistics in Business Analytics

This course offers an advanced level exploration of statistical techniques for data analysis. We shall 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. The course will also prepare students with the skills needed to work with data using analytics software.

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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.

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OPIM 5620 - Managing and Controlling Information Systems

Examines the management control problems and systems development processes from the dual perspective of (a) managers of the computer information system, and (b) the organization as a whole, including persons who interact extensively with the systems personnel or are administratively in a position to influence the information system.

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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.

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OPIM 5668 - Project Risk and Cost Management

Introduces the art and science of project risk as well as continuity management and cost management. Risk management ensures a project is completed through both general and severe business disruptions on local, national and international levels. Managing the risk of a project as it relates to a three-part systematic process of identifying, analyzing, and responding is examined through actual case studies. In addition, this course will examine the process of cost management, early cost estimation, detailed cost estimation, cost control using the earned value method, issues related to project procurement management, and the different types of contracts for various scope scenarios.

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OPIM 5671 - Data Mining and 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.

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OPIM 5770 - Advanced Business Analytics and Project Management

This capstone course will involve a live data analytics project, where students will need to integrate their knowledge of data analytics and project management. Using the skill sets of predictive modeling, data management, process models, and data mining techniques, students will investigate a real problem through data analytics, and will use their project management skills to complete the project within time and budget constraints.

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OPIM 5771 - Enterprise Security, Governance and Audit

This course discusses the business risks arising from digital information processing and identifies ways to prevent, detect, and mitigate negative consequences of information security breaches. 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). Third, students will study the process of information systems audit, IT audit tools, and audit procedures to help in detection and prevention of fraud.

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OPIM 5894 - Seminar

Introduces many of the most exciting concepts emerging in the field of consumer oriented Internet-working, including high speed access [cable modem, satellites and digital subscriber lines (DSL)] and infrastructure developments such as gigabyte networking with asynchronous transfer mode (ATM). Evaluates the emerging directions in EC that are expected to shape both consumer and business applications in the coming decade. A “macro perspective” is used to examine the technical and managerial aspects of electronic commerce. Focus is on questions such as: What are or will be the key attributes of current and future digital products, payment systems, online retailing, and banking? How are these systems designed and implemented? What are the different mercantile processes and tradeoffs associated with these processes? What impact has global connectivity made on traditional supply-chain(s)?

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OPIM 5895 - Special Topics in Information Management

Faculty-student interaction on a one-to-one basis involving independent study of specific areas of operations management, operations research and/or information management. Emphasis, selected by the student, may be on theoretical or applied aspects. A written report is required.

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OPIM 6200 - Investigation of Special Topics

This course provides an in-depth investigation in special topics in Operations and Information Management.

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OPIM 6201 - Research Methods for Operations and Information Management

Several advanced analytical methods that are relevant to students’ areas of research will be studied in depth in this seminar. Topics may include special mathematical programming; complex decision making; linear models; advanced statistical analysis; and stochastic processes.

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OPIM 6202 - Seminar in Operations Management

Introduces doctoral students to the current research concerns in the field of Operations Management. The course will also acquaint students with the variety of research tools used in the field, enable them to critically evaluate the research of other scholars in the field as well as to develop research skills in identifying potential research problems to be analyzed.

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OPIM 6203 - Seminar in Management Information Systems

A topic on a significant applied or theoretical aspect of information systems will be chosen. Broadly, these aspects will encompass modeling, design, implementation, testing, and operation of computer information systems, and the implications of information technologies for the organization.

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