| source Georgetown (X) |
level |
department Operations Information Management (X) |
Students are expected to be already familiar with data analysis, probability and uncertainty, and basic statistical inference. We examine statistical model building for business processes for the purposes of understanding variability and making forecasts. A detailed development of multiple regression analysis is complemented by some study of time series analysis. The objective is to demonstrate the effectiveness of statistical modeling in guiding managerial decision-making. The statistical analysis of large data sets is an integral part of modern business practice. Accordingly, both spreadsheets and statistical software will be used throughout the course. Note: This course is designed for students who already have taken a first course in statistics. Formerly offered as DSCI 172.
Score: 11.853731 Details | Listing | Web page
This course introduces the basic concepts of Statistics and their application in managerial decision-making. In the first part of the course, we consider the steps of data collection, preliminary data analysis (numerical and graphical), probability and uncertainty, statistical inference. In the second part of the course, we examine statistical model building for the purposes of understanding variability and making forecasts. A detailed development of multiple regression analysis is complemented by some study of time series analysis. The objective is to demonstrate the effectiveness of statistical modeling in guiding managerial decision-making. The statistical analysis of large data sets is an integral part of modern business practice. Accordingly, both spreadsheets and statistical software will be used throughout the course. [Students may not take both OPIM-172 and OPIM-174 for credit]
Score: 11.853731 Details | Listing | Web page
This course prepares the student to interact with, manage within and be sensitive to the current and emerging trends in information technology. The course material will cover computer hardware and software, database management systems, telecommunications, and the systems analysis process. The course also examines the strategic importance of computing and related social and ethical issues. Computer laboratory assignments will be used to illustrate information systems concepts and applications. Formerly offered as MGMT 250.
Score: 11.853731 Details | Listing | Web page
Increasingly, the manner in which a firm collects, processes, and uses information can determine its strategic success or failure. This course examines cutting-edge topics related to the management of these information systems. It focuses not on what we can do technically, but rather what we should do strategically, legally, and ethically. The course may address issues associated with project management; information security and integrity;systems development (including outsourcing); human resources implications of information systems; and social/ethical concerns. Specific topics will vary with each offering of the course based on emerging trends in technology and in managerial approaches. Formerly offered as MGMT 255.
Score: 11.853731 Details | Listing | Web page
This course focuses on electronic commerce over the Internet. Topics include infrastructure issues for building e-commerce applications and issues related to business strategy and marketing on the Internet. Examples are offering products and services on the Internet, Internet advertising, building electronic communities, the fit between the technology and the organization's marketing strategy, and ethical and policy issues such as privacy. Students will learn website design and tools, such as Front Page and XML. Formerly offered as MGMT 256.
Score: 11.853731 Details | Listing | Web page
The objective of this course is to introduce the student to the key principles and activities associated with the design, use and administration of business databases. The course will discuss important database design principles and sophisticated data retrieval and mining techniques. These principles and techniques will be demonstrated using various computerized database tools, including Oracle and Access. The course will cover critical issues related to database development and administration in the context of consumer-oriented, electronic commerce (Internet and World Wide Web) environments. Formerly offered as MGMT 257.
Score: 11.853731 Details | Listing | Web page
Credits: 3
Score: 11.853731 Details | Listing | Web page
This course provides an overview of project management. The course addresses (1) the culture, (2) the principles, and (3) the basic techniques of project management. The course reviews the general stages of a project in rough chronological order and describes how the stages interrelate. Basic tools of project management, such as work breakdown structure, scheduling, earned value analysis, and risk management, are introduced. The elements of project management critical to the success of a project also are identified and explained.
Score: 11.853731 Details | Listing | Web page
Credits: 3
Score: 11.853731 Details | Listing | Web page
Management Science is the application of quantitative modeling techniques to the managerial decision making process. The course will be taught by example and adopts a practical spreadsheet-based approach to the modeling of a wide variety of business problems from finance, marketing, and operations. The approach taken in this course concentrates on problem solving in an interdisciplinary context that also develops spreadsheet skills. Formerly offered as DSCI 284.
Score: 11.853731 Details | Listing | Web page
A firm has the opportunity to create competitive advantage through proficient management of its operationsâmanufacturing and services. To do so, the firm must first recognize and establish the strategic role of its operations within the organization. Then, at the more detailed operational level, the firm must execute effectively and efficiently. This course examines the strategic role that the operations function can play, and offers specific tools and techniques that the firm can use during implementation.
Score: 11.853731 Details | Listing | Web page
The goal of this course is to give you tools, examples of best practices, and a structured understanding of how to set up and manage operations across national boundaries. This course is designed for students interested in a career involving international projects. It builds on what you have learned in Operations Management and other functional modules--but always in an international context. Cases are used in almost every session. Key topics include: a) management of international expansion projects, b) managing a service internationally and managing an international service (for local customers), c) working with suppliers and strategic partners in the company's global supply chain, d) managing a global network of operations, and e) critical skills for operations managers in various positions in the global network. There is usually no final exam but several written reports and a project. Formerly offered as MGMT 296.
Score: 11.853731 Details | Listing | Web page
Services account for more than 50% of the worldâs GDP, 65% of the US GDP, and 80% of jobs in the US (Business Roundtable). This course is designed to provide the participant with the concepts and principals needed to design, manage, and improve service delivery processes. Utilizing the Socratic method, we explore business models, conceptual frameworks, and the use of qualitative and quantitative analyses for enhancing the effectiveness of service operations. An important aspect of the course focuses on the development of participants' skills to learn, analyze, synthesize, and apply new developments in service management across a broad range of service industries. In addition, we consider the evolving effects of technology and globalization on services. We learn how to apply these concepts and principles to specific service settings through class discussion, class members' experiences, and a group project involving an actual service organization.
Score: 11.853731 Details | Listing | Web page
Credits: 1.75
Score: 11.853731 Details | Listing | Web page
Credits: 1.75
Score: 11.853731 Details | Listing | Web page
Credits: 1.75
Score: 11.853731 Details | Listing | Web page
To instruct future business managers on the important aspects of their role in IT decision making including the current structures and processes used to make decisions and how to evaluate and control the corresponding outcomes.
Score: 11.853731 Details | Listing | Web page
This course explores advanced topics in management support systems with a focus on decision theory. The course will present insights into key issues and problems in decision support information systems. The Visual Basic Applications (VBA) programming language within Microsoft Excel will be used as the primary tool to build basic decision support systems. Class deliverables will be systems built with VBA code.
Score: 11.853731 Details | Listing | Web page
Suppose you have been given the responsibility of determining whether your firm should expand its sales region to include the southwestern part of the United States, or India. Before making your decision, you would probably want answers to many questions. Even if it were possible to obtain accurate answers (perfect information) to these and other pertinent questions, your decisions problem would be extremely complex and, realistically, you cannot expect to receive perfect information. Thus, in making your decision, you will face the more complex problem of having to deal with answers about which you are uncertain. The first part of this course will center on Decision Analysis. Decision Analysis is a systematic approach to solving problems under conditions of uncertainty. It does not describe how or why an individual makes a decision; rather, it prescribes a decision for the individual that is consistent with his/her preferences and attitudes towards risk. The second part of this course will be based on Design of Experiments, analysis of variance, the chi-square test and analysis of Contingency tables. This is an applied course, i.e. cases and exercises of different areas of business will be considered. MBA second year students only.
Score: 11.853731 Details | Listing | Web page
This course provides the advanced yet extremely applied perspective on business statistics. Two specific topics account for the majority of its content: regression analysis and analysis of variance. Additional topics include deviating from model assumptions, multicollinearity, transformations, residuals and lack of fit, heteroscedasticity, detecting outliers/influential outliers: Jack Knife, detecting residual correlation: Durbin-Watson test, piece-wise linear regression, inverse prediction, and weighted least squares. MBA second year students only.
Score: 11.853731 Details | Listing | Web page
Credits: 1.75
Score: 11.853731 Details | Listing | Web page
âReal Optionsâ is a new valuation standard for evaluating and analyzing capital investment decisions in the face of uncertainty. The real options approach is an extension of option pricing theory for managing real assets. This course is about the real options approach to strategic investments. It aims to develop a real options thinking rather than focusing only on the technical aspects of modeling in a real options framework. In that vein, our objective is to introduce real options as a viable means to evaluation of investment opportunities. Selected case studies and material will ensure an in-depth understanding of various concepts in a realistic setting. MBA second year students only.
Score: 11.853731 Details | Listing | Web page
Credits: 1.75
Score: 11.853731 Details | Listing | Web page
Credits: 1.75
Score: 11.853731 Details | Listing | Web page