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  • 3.00 Credits

    An introduction to financial issues of critical importance to multinational firms. Overview of international financial markets, the international monetary system, and foreignexchange markets. International parity conditions, exchangerate forecasting, swaps and swap markets. International investments, foreign-direct investment, corporate strategy, and the international debt crisis. Prerequisites: EBGN305, EBGN411, EBGN412. 3 hours lecture; 3 semester hours.
  • 3.00 Credits

    As an advanced course in optimization, this course will address both unconstrained and constrained nonlinear model formulation and corresponding algorithms, e.g., gradient search and Newton's method, Lagrange multiplier methods and reduced gradient algorithms. Applications of state-of-the-art hardware and software will emphasize solving real-world problems in areas such as mining, energy, transportation and the military. Prerequisite: EBGN455 or permission of instructor. 3 hours lecture; 3 semester hours.
  • 3.00 Credits

    This course addresses the formulation of linear programming models, examines linear programs in two dimensions, covers standard form and other basics essential to understanding the Simplex method, the Simplex method itself, duality theory, complementary slackness conditions, and sensitivity analysis. As time permits, multi-objective programming, an introduction to linear integer programming, and the interior point method are introduced. Applications of linear programming models discussed in this course include, but are not limited to, the areas of manufacturing, finance, energy, mining, transportation and logistics, and the military. Prerequisites: MATH332 or MATH348 or EBGN409 or permission of instructor. 3 hours lecture; 3 semester hours.
  • 3.00 Credits

    As an advanced course in optimization, this course will address computational performance of linear and linear-integer optimization problems, and, using state-of-the-art hardware and software, will introduce solution techniques for "difficult" optimization problems. We will discuss such methodologies applied to the monolith, e.g., branch-and-bound and its variations, cutting planes, strong formulations, as well as decomposition and reformulation techniques, e.g., Lagrangian relaxation, Benders decomposition, column generation. Additional special topics may be introduced as time permits. Prerequisite: EBGN455 or permission of instructor. 3 hours lecture; 3 semester hours.
  • 3.00 Credits

    As a quantitative managerial course, the course will explore how firms can better organize their operations so that they more effectively align their supply with the demand for their products and services. Supply Chain Management (SCM) is concerned with the efficient integration of suppliers, factories, warehouses and retail-stores (or other forms of distribution channels) so that products are provided to customers in the right quantity and at the right time. Topics include managing economies of scale for functional products, managing market- mediation costs for innovative products, make-to order versus make-to-stock systems, quick response strategies, risk pooling strategies, supply-chain contracts and revenue management. Additional "special topics" will also be introduced, such as reverse logistics issues in the supply-chain or contemporary operational and financial hedging strategies. Prerequisite: permission of the instructor. 3 hours lecture; 3 semester hours.
  • 3.00 Credits

    As a quantitative managerial course, the course is an introduction to the use of probability models for analyzing risks and economic decisions and doing performance analysis for dynamic systems. The difficulties of making decisions under uncertainty are familiar to everyone. We will learn models that help us quantitatively analyze uncertainty and how to use related software packages for managerial decision-making and to do optimization under uncertainty. Illustrative examples will be drawn from many fields including marketing, finance, production, logistics and distribution, energy and mining. The main focus of the course is to see methodologies that help to quantify the dynamic relationships of sequences of "random" events that evolve over time. Prerequisite: permission of the instructor. 3 hours lecture; 3 semester hours.
  • 3.00 Credits

    This course considers the role of markets as they relate to the environment. Topics discussed include environmental policy and economic incentives, market and non-market approaches to pollution regulation, property rights and the environment, the use of benefit/cost analysis in environmental policy decisions, and methods for measuring environmental and nonmarket values. Prerequisite: EBGN411. 3 hours lecture; 3 semester hours.
  • 3.00 Credits

    An introduction to the methods employed in business and econometric forecasting. Topics include time series modeling, Box- Jenkins models, vector autoregression, cointegration, expo- 60 Colorado School of Mines Undergraduate Bulletin 2008-2009 nential smoothing and seasonal adjustments. Covers data collection methods, graphing, model building, model interpretation, and presentation of results. Topics include demand and sales forecasting, the use of anticipations data, leading indicators and scenario analysis, business cycle forecasting, GNP, stock market prices and commodity market prices. Includes discussion of links between economic forecasting and government policy. Prerequisites: EBGN390, EBGN411, EBGN412. 3 hours lecture; 3 semester hours.
  • 3.00 Credits

    Pilot course or special topics course. Topics chosen from special interests of instructor(s) and student(s). Usually the course is offered only once. Prerequisite: Instructor permission. Variable credit; 1 to 6 credit hours. Repeatable for credit under different titles.
  • 3.00 Credits

    Individual research or special problem projects supervised by a faculty member. A student and instructor agree on a subject matter, content, and credit hours. Prerequisite: "Independent Study"form must be completed and submitted to the Registrar. Variable credit; 1 to 6 credit hours. Repeatable for credit.
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