DS - Decision Sciences
Courses numbered 500 to 799 = undergraduate/graduate. (Individual courses may be limited to undergraduate students only.) Courses numbered 800 to 999 = graduate.
DS 625. Global Procurement and Outsourcing (3).
Designed to expose learners to the latest supply chain trends and issues dealing with global purchasing and sourcing. Covered topics include global sourcing management, purchasing management, financial and operational strategies for sourcing and procurement, diversity in sourcing and procurement, supplier base management, risks in sourcing and procurement, ethical and sustainable outsourcing. Real-life experience and practices by guest speakers from area multi-national companies (Koch, Cargill, Spirit, Cessna and other aviation companies, etc.) are featured. Course includes diversity content.
DS 675. Spreadsheet Modeling for Decision Making (3).
Cross-listed as FIN 675. Practical spreadsheet-based approach to modeling a wide variety of business problems. Concentrates on problem solving in an interdisciplinary context and developing spreadsheet skills. A student may only earn credit in one of the following: DS 675, DS 875 or FIN 675. Prerequisites: DS 350 and FIN 340 each with a grade of C+ (2.300) or better, junior standing, advanced standing, or instructor’s consent.
DS 690. Seminar in Selected Topics (1-5).
Repeatable for credit with departmental consent. Prerequisites: DS 350 with a grade of C+ (2.300) or better, junior standing, advanced standing.
DS 701. Introduction to Supply Chain Management (SCM) (0.5).
Enables students to understand the basics of integrated business logistics and supply chain management.
DS 702. Introduction to Spreadsheet Modeling (0.5).
Covers how to create spreadsheet models in Excel. Regardless of title (manager, supervisor, purchasing agent, etc.) and functional area (operations, supply chain, finance, etc.), students learn how to use Excel to summarize, report and analyze data — a critical set of skills in today’s data-driven business environment.
DS 703. Introduction to Forecasting (0.5).
Predictive analytics is one of the three key parts of analytics (descriptive, predictive and prescriptive), and deals with forecasting. Course introduces students to time series analysis, and the averaging techniques of forecasting, including moving average, and exponential smoothing. Also introduces the metrics for error analysis in forecasting.
DS 704. Introduction to Inventory Management (0.5).
Overview of the concepts, tools and techniques used in managing inventory in a system.
DS 705. Basics of Analytics (1).
Covers basic methods for the analysis of existing datasets. Commonly used techniques for the analysis of quantitative and qualitative data are introduced. Topics include: data preprocessing, linear regression, logistic regression, classification, and cluster analysis. Students are introduced to R, an open source data mining software. Lectures use R and Microsoft Excel to guide the analysis, but students are welcome to use their preferred software package in solving assignment problems and evaluations.
DS 706. Introduction to Demand Management (1).
Focuses on fundamentals of demand management and introduces collaboration, consensus and integration issues of demand management. Includes strategies for managing uncertainty and the role of technology.
DS 707. Introduction to Supply Management (0.5).
Exposes learners to the latest trends and issues dealing with supply management. Covered topics include sourcing management, purchasing management, financial and operational strategies for procurement, supplier base management, and risks and sustainability in procurement.
DS 708. Advanced Forecasting (1).
Predictive analytics is one of the three key parts of analytics (descriptive, predictive, and prescriptive), and deals with forecasting. Course goes beyond the averaging techniques for forecasting, and covers linear regression for forecasting time series with trend, and the decomposition method for forecasting time series with trend and seasonality.
DS 709. Introduction to Project Management (0.5-1).
Establishes fundamental guidelines for defining the process of project management and designing time-constrained projects. Covers core methodology for managing complex projects on time.
DS 710. Supply Chain Management Network Planning (1).
Enables students to understand the basics of network planning in distribution networks, network design, global network design, and transportation network design.
DS 711. Performance Management in Supply Chains (1).
Performance management — a standard practice in organizations — is presented and promoted through business processes, methodologies, metrics and technologies used by an organization to measure, monitor and manage business performance. Covers a broad category of processes, technologies, applications and metrics for managing the performance of supply chains. Emphasizes the criticality of creating and maintaining an enterprise-level culture of evidence/fact-based management and decision making. Covers concepts and frameworks related to performance management in supply chains and exposes students to supporting technologies used by contemporary organizations.
DS 712. Advanced Demand Management (1).
Case-based course focusing on implications of demand management and elements of supply chain management in an effort to optimize revenue, inventory costs and customer service levels via promotional activities and intelligence.
DS 713. Integrated Supply and Demand Management (1).
Enables students to understand how integrated supply and demand management impacts design of an optimized supply chain.
DS 714. Strategic Management in Supply Chain Management (0.5).
Presents innovative strategies and best practices for strategically managing and optimizing supply chains to improve supply chain performance.
DS 715. Supply Chain Management A (0.5).
Uses simulation games to introduce different concepts in strategic supply chain management.
DS 716. Supply Chain Management B: Simulation Game (0.5).
Uses simulation games to discuss different concepts in strategic supply chain management.
DS 750. Workshop in Decision Sciences (1-4).
Prerequisite: junior standing.
DS 755. Project Management (3).
This hands-on and project-based technology course establishes fundamental guidelines for defining the process of project management and designing time-constrained projects. Covers core methodology for managing complex projects on time. Uses a software tool. Prerequisites: junior standing, advanced standing; students are strongly recommended to take DS 350 before taking DS 755.
DS 850. Operations Management (3).
Develops an understanding of the operations function in a business and how it interfaces with other major functions in business. Students gain an appreciation of the strategic importance of operations and how a firm can gain competitive advantage through world-class performance by operations in delivering high-quality, cost-competitive products and services. Builds a knowledge base of the concepts, tools and techniques related to designing, managing and improving operations. Helps managers, regardless of functional specialization, gain an operations perspective. Prerequisites: calculus and statistics.
DS 860. ERP: Enterprise Resource Planning (3).
Overview of Enterprise Resource Planning (ERP) and related systems like CRM. E-commerce systems are designed to assist an organization with integrating and managing its business processes. ERP systems can be expensive and time-consuming to implement. Topics include the ERP life cycle for implementation and change management. Students get hands-on exercises with ERP software, like SAP, if available. Prerequisite: DS 850 or equivalent.
DS 865. Supply Chain Mgmt (3).
Introduces concepts, models and solution approaches critical to managing a supply chain. Focuses on understanding how supply chain design and operation impact the performance of the company and its competitive advantage. Topics include strategy development, profitability, demand forecasting, inventory management, facility location, warehousing, transportation, network design and information sharing. Prerequisite: DS 850 or instructor’s consent.
DS 875. Spreadsheet Modeling in Business (3).
Overview of decision making models used in various functions in business. Students learn to build and analyze the models in a spreadsheet and with different add-ins. Students acquire advanced analytical and spreadsheet skills that can make them better analysts regardless of their area of specialization. Course is example driven, covering various scenarios from business. Prerequisite: DS 850 or instructor’s consent.
DS 890. Seminar in Special Topics (1-3).
Repeatable for credit with departmental consent.
DS 890G. Risk Management in Global Supply Chains (3).
For a successful global company, risk management is an essential element. Course is designed to explore and outline the best practices in identifying, assessing and mitigating various risks stemming from internal and external environments of a supply chain. Among the topics are risk management concept and process, risk management strategies, action based risk management framework, operational, tactical and strategic risk management, effect of risks on financial performances, and best industrial applications of risk management.
DS 890N. Global Logistics and Transportation Management (3).
Project-based course offers experimental decisions to challenging problems with global implications for an industry. Topics include intermodal transportation, route selection, transportation regulations, contingency planning, international business ethics and regulations on logistics and distribution.
DS 890X. Data Visualization (0.5).
Introduces data visualization. Visualizations are graphical depictions of data that can improve understanding, sharing and decision making. Students are exposed to information on selecting appropriate display methods for different data types to improve communication and sharing. Students learn various design and visualization approaches that enhance comprehension of data and aid in effective decision making.
DS 891. Directed Studies (1-5).
Prerequisite: departmental consent.