DSIM 203RI. Applied Business & Economics Analysis (3; F/S)
Three hours per week. Prerequisite: 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 business 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. This course is research intensive and satisfies the experiential learning requirement.

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 203RI. 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/MKG 371.  E-Business Management (3; F/S)
Cross-listed with MKG 371.  Three hours per week. Prerequisites: DSIM 203RI. This course prepares the next generation of business managers for success in electronic business.  It explores the tools, skills, business and social implications of emerging electronic business.  In addition to acquiring 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 performed 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. Credit cannot be awarded for both DSIM 371 and MKG 371.

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/PPOL 618. Competing through Innovation & Information Technology (3)
Cross listed with PPOL 618. 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. Credit cannot be awarded for both DSIM 518 and PPOL 618.

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/PPOL 530. Analytical Methods for Decision-Making (2)
Cross listed with PPOL 530. 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). Credit cannot be awarded for both DSIM 530 and PPOL 530.

DSIM (MGT) 570. Operations Management (2)
Prerequisites: DSIM 500, DSIM 530 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. May be taken for credit more than once, if different topic.

DSIM 590. Internship for Curricular Practical Training (1-3, max. 6)
This for-credit internship experience provides a practical application of principle and theory in an actual business setting through an internship opportunity. Students carry out a work project in a private or public sector organization under the direct supervision of a designated faculty member and executive. This may be part-time or full-time practical work experience in the student's field of study. The internship may be located at an on or off-campus facility. Internship may not be taken until the student has completed at least one semester of enrollment in the graduate program. Open to all graduate students, including international graduate students (Master/Doctoral).


DSIM 592. Independent Studies in Decision Sciences and Information Management (var. 1-3, max. 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. May be taken for credit more than once, but only 3 credit hours will be counted toward satisfying the degree requirements.

DSIM 710. Advanced Statistics and  Applications (3)
This course introduces a variety of statistical procedures designed to enhance managerial decision making. Topics covered include tests of the mean, proportion, and variance with one or more samples, correlation, and both simple and multiple regression. Nonparametric statistical procedures will be discussed as well.  

DSIM 725. Quantitative Methods for Executive Decision Making (Quantitative Business Analytics I) (3)
This course will expose students to advanced quantitative and analytical skills designed to help candidates make well-informed, data-driven decisions while considering key objectives, alternatives, constraints, and uncertainty or risk. Students successfully completing this course will be better equipped to scope quantitative problem sets and be able to recognize when and where quantitative methods should be included in the decision making process. Topics will come from both deterministic and stochastic areas. The course provides tools that can be applied to executive decision-making from both aspects of management science.

DSIM 740. Business Analytics & Technological Tools (Quantitative Business Analytics II) (3)
QBA II will provide the students with analytical tools appropriate for doctoral level behavioral research necessary for use in fields such as marketing, management and strategy research. Topics will include Research Design and Implementation, Statistical Modeling Techniques, and Classification and Data Reduction Techniques. The focus of this course will be on the application of statistical software tools, such as AMOS,SPSS, etc., to research problems of managerial interest.

DSIM 755. Advanced Research Methods I (3)
The philosophy that guided the development of this course is twofold. First, academic research involves a process of activities rather than the application of isolated, unrelated concepts and ideas. Candidates in this course learn about how to conduct a review of current literature and scholarly work in topics they are interested in pursuing. Working closely with faculty, students learn strategies to get to problems worth researching (scope). The central premise of the course is training scholars to ask the right questions. Business research usually includes a hypothesis or question, hypothesis testing, data collection or field work, analysis, and recommendations or conclusions. Participants learn the sequence and flow of research activities and its central role in scholarly inquiry.
Second, the business scholar today requires a large toolbox or applications to gather evidence and analyze information. No longer can we, as business scholars, rely solely on surveys or secondary data to make recommendations. Business researchers, whether conducting research or reading research to self-inform, need to identify the key quantitative and qualitative drivers to business in order to decide what analysis is appropriate. Scoping the problem is the first step to making evidence-based decisions. A fundamental review of the most widely utilized research models and customer relationship  management tools will enable business decision makers with a deeper understanding of how the results of data inquiries impact business results today.

DSIM 775. Advanced Research Methods II (4)
See course description for DSIM 755 above. Advanced Research Methods II will be delivered as a directed individual study of dissertation development in which students will work directly with their dissertation chair.

DSIM 785. Dissertation I/Applied Research I (6)
This course is an independent application of research, design, and methods that leads to the completion of an original research study under the guidance of the student's doctoral committee. Throughout the development, implementation, and evaluation of the dissertation project, the student should meet regularly with his/her dissertation chair. As necessary, the student should also meet with other members of his/her committee to review specific portions of the proposal as appropriate to their expertise. Periodic revisions should be circulated to all members of the committee upon approval of the committee chair. Revisions should be noted in a cover memo to the committee members such that they will be kept up to date. When the study is completed and ready, final approval must be received, in writing, from the chair of the dissertation committee with agreement from all members of the committee. This process must be completed at least one month prior to the proposed date for the dissertation defense. With the designated approval, the defense date will then be scheduled.

DSIM 790. Dissertation II/Applied Research II (6; for preparing the submission and defense)
This course focuses on the last phase of the candidate's doctoral work. This is the last course before graduation. In this course, candidates will finalize all remaining degree requirements. Over the course of final semester, candidates will present and defend their research to their DBA dissertation committee, make any required changes to their dissertation, and gain full final approval of all committee members and applicable representatives of JU's academic units.

DSIM 795. Dissertation Extension (1; if needed)
This course will be a continuation of work on dissertation if not completed within the normal scope of the program.

DSIM 800. Special Topics (3)
A study of selected topics of major interest to doctoral candidates not covered in other course offerings. Topic for the semester will be indicated in advance, and the student may repeat the course once if the topic is different for a maximum of six hours.