DSS 600 Foundations for Business Intelligence - 3 credits
This course is intended to provide an integrative foundation in the field of business intelligence at the operational, tactical, and strategic levels. Topics such as value chain, customer service management, business process analysis and design, transaction processing systems, management information systems, and executive information systems will be covered, along with other topics relevant to the field of business intelligence.
DSS 610 Business Analytics for BI - 3 credits
The aim of this course is to provide the student with an understanding of several management science techniques and to provide some insight into how these tools may be used to analyze complex business problems and arrive at a rational solution. The techniques to be studied are forecasting, linear planning, simulation, and modeling. Cases of increasing complexity will be used to emphasize problem description, definition, and formulation. The computer will be used extensively throughout the course, primarily by using available programs to perform the calculations after the problem has been correctly formulated. Emphasis will be placed on the interpretation and implementation of results. In addition, we will examine the future of analytics.
DSS 700 Six Sigma Applications and Foundations I - 3 credits
This course is the first of a two course sequence that prepares the student for the Six Sigma Green Belt certification examination. Topics include introduction of Six Sigma and its vocabulary, review of business statistics focusing on hypothesis testing and multiple regression, experimental design and Analysis of Variance, statistical process control, analytic hierarchy process, discrete event simulation and other tools of Six Sigma. This course includes roughly half of the material covered on the Green Belt certification exam.
DSS 710 Six Sigma Applications and Foundations II - 3 credits
This course is the second of a two course sequence that prepares the student for the Six Sigma Green Belt certification examination. Topics include the Six Sigma dashboard and related models (DMAIC, DMADV, DFSS: QFD, DFMEA, and PFMEA), selecting and managing projects, organizational goals, lean concepts, process management and capability, and team dynamics and performance. This course includes the remaining material covered on the Six Sigma Green Belt certification exam.
DSS 620 Concepts and Practice of DSS Modeling - 3 credits
Building on the background of previous courses, this course will extend the use of spreadsheet modeling and programming capabilities to explore decision models for planning and operations using statistical, mathematical, and simulation tools. Prerequisites: DSS 600, DSS 610.
DSS 630 Database Management Theory and Practice - 3 credits
Business Intelligence rests on the foundation of data storage and retrieval. In this course, students will be presented with the theory of operational database design and implementation. The concepts of normalization, database queries and database application development will be introduced using contemporary tools and software for program development. Prerequisites: DSS 600, DSS 610.
DSS 640 Enterprise Data - 3 credits
Traditional database design concentrates on the functional areas of business and their database needs. At the strategic and value-chain levels, we look at data across the enterprise and over time. The issues of Enterprise Data in the Data Warehouse, Data Marts, Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM), Online Analytical Processing (OLAP), and the concepts of Data Mining will be surveyed in this course. Prerequisites: DSS 600, DSS 610, DSS 620, DSS 630.
DSS 650 Business Process Modeling & Analysis - 3 credits
Using the case study approach in combination with contemporary software tools, students will apply the concepts of business process analysis and design, quality control and improvement, performance monitoring through performance dashboards, and balanced scorecards and process simulation. Prerequisites: DSS 600, DSS 610, DSS 620, DSS 630, DSS 640.
DSS 660 Introduction to Data Mining - 3 credits
This course in the Business Intelligence Program will extend the concepts of data mining to an exploration of a contemporary Data Mining toolset on a large live data set. In this course, students will be encouraged to find the patterns in the data and to prepare reports and presentations describing the implications of their findings. Prerequisites: DSS 600, DSS 610, DSS 620, DSS 630, DSS 640.
DSS 670 Critical Performance Measurement - 3 credits
This course integrates the concepts of decision support, database management, critical performance measurement, and key performance indicators through the practical application development of performance dashboards. When completed, students will be able to design department level, user-oriented applications that capture data from transaction processing systems and present that data for business users in decision-compelling format. Prerequisites: DSS 600, DSS 610, DSS 620, DSS 630, DSS 640, DSS 660.
DSS 680 Predictive Analytics 3 - credits
This course extends the data mining process to the predictive modeling, model assessment, scoring, and implementation stages. In this course, professional data mining software and small and large data sets will be used to effectively analyze and communicate statistical patterns in underlying business data for strategic management decision making. Prerequisites: DSS 600, DSS 610, DSS 620, DSS 630, DSS 640, DSS 660.
DSS 690 Management Issues in Business Intelligence - 3 credits
A critical success factor in Business Intelligence is the ability to communicate one's analyses and recommendations to decision-makers. This course will direct students on the importance of effective communication, as well as allow students to explore their individual areas of interest as it applies to the business intelligence field.
DSS 720 Business Analytics for Supply Chain - 3 credits
Management of supply chains is critical to the success and profitability of all businesses, whether manufacturing or service companies. This course examines supply chains and the business analytic tools which are most effective in developing supply chain efficiencies and supply chain value. Topics include supply chain strategy, network and system design, operations management, sourcing, logistics, forecasting, inventory management, relationship management and sustainable supply chain management.