DSIM

DECISION SCIENCE AND INFORMATION MANAGEMENT COURSES

DSIM 203. Applied Business & Economics Analysis (3)
Three hours per week. Prerequisites: CS150 with a grade of C or better. A study of the application of analytical techniques to economic analysis and business decision-making. This class will help students in their career by learning to design and develop busienss intelligence systems that help reduce the complexity of organizing and distributing information in national and international organizations.  Topics include the collection, presentation, and analysis of business and economic data using microcomputer technologies and other business intelligence tools.

DSIM (BUS) 301. Business Statistics (3; F, S)
Three hours per week. Prerequisites: MATH 112 or MATH 140. This is an introductory course in statistics and its applications to business. Topics include: descriptive statistics, basic probability concepts, estimation, hypothesis testing, ANOVA and regression. Microsoft Excel will be used as a tool throughout the course.

 DSIM (BUS) 305. Quantitative Business Methods. (3; F, S)
Three hours per week. Prerequisite: DSIM (BUS) 301. This course covers a variety of quantitative techniques utilized by managers to enhance decision-making. Topics to be covered are decision theory, forecasting, inventory control, linear programming, transportation and assignment problems, project management techniques such as PERT and CPM, waiting line models and statistical quality control.

DSIM (MGT) 350. Project and Operations Management (3; F, S)
Three hours per week. Prerequisites: Senior status and DSIM (BUS) 305. This course is intended to introduce the student to the activities necessary to produce and deliver goods and services in today’s businesses. Project management will be emphasized as a major technique to plan, schedule and control important projects. Other concepts to be covered include design, total quality management/six sigma, inventory, facility layout, supply chain management, capacity planning and reliability/maintenance. The ability to operate under a variety of constraints is emphasized in the course.

DSIM (MGT) 370. Management of Information Technology  (3; F, S)
Three hours per week. Prerequisites: Junior status and DSIM 203. This course provides the student with critical study of information technology. The focus will be on management of information technology as a primary functional area of modern business organizations. Emphasis will be on the integration of technology and business processes, web-based systems, the Internet, intranets and extranets.

DSIM 371/MKG 371.  E-Business Management (3; F, S)
Three hours per week. Prerequisites: Junior status and DSIM 203. This course prepares the next generation of business managers for success in electronic business.  It exlplores the tools, skills, business and social implications of emerging electronic business.  In addition to aquiring basic skills for identifying electronic business opportunities and creating a presence in the online marketplace, the student reexamines fundamental processes of business as they are perfomed in cyberspace in contrast to the marketplace.  Topics include an introduction to the economics of information and information products, the roles of e-supply chains, corporate portals and public business-to-business exchanges; e-support services, auctions and e-commerce security issues and processes; the impact of e-commerce on organizational strategy and industry structure; in depth assessment of successful e-commerce strategies; and innovative e-commerce systems.  Students have to complete an organizational case study of e-business technology implementation and create a business plan for a technology venture.

DSIM (BUS) 500. Essentials of Quantitative Methods (2; S)
This course introduces students to basic statistical concepts and procedures. Topics to be covered are descriptive statistics (measures of central tendency and dispersion), elementary probability, the normal distribution, estimation (confidence intervals for the mean using the normal and t distribution), hypothesis testing of a single mean using the normal and t distribution, correlation and regression.

DSIM 518. Competing through Innovation & Information Technology (3)
Provides an overview of business information technologies and their varied application across the value chain. Emphasis is placed on assessment of current technologies, technology trends and impact on business processes. Additional focus is on frameworks for management and control of IT within the firm and aligning IT strategy with organizational strategy. E-commerce and other effects of the IT-centric virtual marketplace on the firm are addressed. Students obtain an understanding of how business managers can leverage technology to enhance their companies’ chances of success in the increasingly competitive global business environment.

DSIM 525. Statistics for Decision Making (3)
Offered in the Executive MBA Program only. Business leaders need an understanding of quantitative models in order to understand the power of such models in decision making. Topics to be covered include a review of algebra, descriptive statistics and probability, and elementary calculus as they apply to business. This course prepares students for the applied business project conducted in the capstone strategy course (MGT 586) where students use statistics to define and test basic research questions as part of a major research paper.

DSIM 526. Competing through Information Technology (2)
Offered in the Executive MBA Program only. This course provides an overview of key components of information technology and their varied application across the value chain of contemporary firms. Emphasis is placed on assessment of current technologies trend and the impact on business processes. The course affords the student an opportunity to critically examine the IT function in the firm and to evaluate how it can be leveraged to enhance the company’s chances of success in the marketplace.

DSIM 527. Building Business Models (3)
Offered in the Executive MBA Program only. Business models focus on how the business creates and sustains high performance and value through its operations, products and services. This course utilizes advanced modeling and simulation tools to help evaluate and optimize business performance and value creation. Topics include forecasting with time series techniques and linear regression, the analysis of variance and an introduction to simulation and linear programming.

DSIM 528. Optimizing Operations (2)
Offered in the Executive MBA Program only.  A conceptual framework is provided for evaluating operations management practices in traditional manufacturing firms and service organizations. Concepts, techniques and tools related to the four major decision responsibilities of operations managers (i.e., process, quality, capacity and inventory) are studied and discussed. Concepts and practices, such as operating design, total quality management/six sigma, project management, supply chain management, capacity planning and lean management are examined using practical applications. Several computer-based solutions for operations problems illustrate the tools available to the operations manager. This course engages the student in the identification and solution of real-world operations problems through a project.

DSIM (BUS) 530. Analytical Methods for Decision-Making (2)
Prerequisite: College algebra and elementary statistics or DSIM (BUS) 500. Introduces students to a group of quantitative tools that assure high quality managerial decision-making. Topics to be covered are break-even analysis, linear programming, inventory control models (EOQ), waiting line models, decision theory, time series forecasting and project management (PERT and CPM).

DSIM (MGT) 570. Operations Management (2)
Prerequisites: DSIM 500 or undergraduate equivalent. The course will focus on the activities necessary to produce and deliver goods and services in today's business entities. The concepts that help managers deal with these activities (such as operations strategy and process choice, total quality management, statistical quality control, project management, supply chain management, capacity management, and customer service) are examined and applied. Operations within traditional manufacturing firms, as well as service organizations,are covered.

DSIM 587. Special Topics in Decision Sciences and Information Management  (var. 1-3)
A study of selected topics of major interest in Decision Sciences and/or Information Management not covered in other course offerings.

DSIM 592. Independent Studies in Decision Sciences and Information Management (var. 1-3)
A study of related Decision Science and/or Information Management topics that is closely supervised by a faculty member. Activities will normally be conducted by students out of the classroom with periodic meetings and evaluation by the faculty member who is mentoring the project.