Students will learn to construct and analyze financial statements of for-profit corporate enterprises. The basic accounting model including financial statement recording and preparation will be covered. A major emphasis will be placed on using financial statements for decision making by investors, creditors, and other users. Basic ratio analysis and valuation concepts will be introduced.
This course examines key probability and applied statistical concepts. General course objectives are: 1) enhanced Excel modeling skills; 2) understanding and use of descriptive tatistics; 3) basics of probability theory; 4) use and interpretation of various probability models; 5) ANOVA; and 6) regression analysis. Microsoft Excel will be used to illustrate many of these topics.
This course provides a working knowledge of fundamental concepts in financial management and teaches students the ability to apply these concepts to real-world problems. In particular, students should learn the following subjects: time value of money, interest rates, risk and return, stock and bond valuation, cash flow analysis, and capital budgeting.
Study and analysis of supply chain management for products/services and the dynamic interaction of companies within an integrated supply chain. Topics include: factor guiding companies supply chain development/management; technology as a supply chain tool; positioning of a company in terms of its role as a valuable member of the supply chain; and performance measures used across supply chain.
This course evaluates the physical, information, and behavioral flows that occur within the supply chain, addressing the conceptual aspects of logistics and the quantitative models used in the logistics function.
Examines selected topic areas in operations management and widely recognized approaches to dealing with them. The problem areas include process and capacity design, location selection, forecasting, statistical quality control, process layout, project-management, and material requirements planning. The course involves the application of mathematical modeling as well as understanding the fundamental concepts and terminology associated with the production of goods/services.
Topics covered include microeconomic concepts and analysis as used in managerial decision-making with emphasis on marginal analysis, comparative advantage, resource allocation, opportunity cost, demand and supply, elasticity, economic efficiency, price discrimination, welfare analysis, production and cost functions, productivity, market structures, externalities and public goods, game theory, information asymmetry, market signaling, and government regulation of anti-competitive behavior.
This course will discuss advanced concepts, analytical tools, strategic and practical issues, and solutions in strategic sourcing and supply management. The course will establish a fundamental understanding of Strategic Sourcing Topics, Tactical Supply Management Topics, and Latest Trends in Supply Management.
This course examines the role of information technology, and its management, in supporting an organization’s (internally- and externally-focused) operations and strategies. Particular attention is given to issues associated with the funding and building of business and technology architectures to enable efficient, effective, and adaptable operational, tactical, and strategic action.
This course emphasizes the use of accounting information for internal planning and control. Introduces students to types of managerial information used to effectively and efficiently run businesses. Covers basic issues in costing (activity based and product); generation and interpretation of information for planning and strategic decision-making (pricing, make-or-buy analysis, costvolume-profit analysis); production and use of information related to performance measurement.
This course will discuss the latest topics/issues in global supply management, operations management, and logistics management. This course will provide a fundamental framework of Global Supply Chain Management Locations Decisions, Global Issues that Impact Supply Chain Management, and Global Supply Chain Management in the Digital Economy.
This course will provide an overview of analytical techniques used to model complex supply chain problems to address strategic, tactical, and operational issues. The course will address how decisions relating to forecasting, resource allocation, transportation, project management, inventory management, and supply networks can be improved by analytical models.
This course covers marketing concepts of use to MBAs. Topics include the use of management information systems, pricing, product offerings, promotion, distribution and consumer behavior, as well as marketing segmentation and strategic marketing. information related to performance measurement.
This course covers concepts and theories of organizational behavior and human resources management for MBAs.
This course is designed to examine the current issues and challenges facing supply chain managers and executives during the period in which this course is taught.
This course will provide an understanding of integrated supply chain management (SCM) and will develop critical thinking skills involving how the various components of supply chain management work together to create customer value. The student will be introduced to decision analytic tools and their use in decision-making in SCM.