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STOR 515: Computational Mathematics for Decision Sciences
3.00 Credits
University of North Carolina at Chapel Hill
Permission of the instructor. Reviews basic mathematical and computational theory required for analyzing models that arise in operations research, management science, and other policy sciences. Solution techniques that integrate existing software into student-written computer programs will be emphasized.
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STOR 515 - Computational Mathematics for Decision Sciences
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STOR 52: First-Year Seminar: Decisions, Decisions, Decisions
3.00 Credits
University of North Carolina at Chapel Hill
In this course, we will investigate the structure of these decision problems, show how they can be solved (at least in principle), and solve some simple problems.
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STOR 52 - First-Year Seminar: Decisions, Decisions, Decisions
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STOR 53: First-Year Seminar: Networks: Degrees of Separation and Other Phenomena Relating to Connected Systems
3.00 Credits
University of North Carolina at Chapel Hill
Networks, mathematical structures that are composed of nodes and a set of lines joining the nodes, are used to model a wide variety of familiar systems.
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STOR 53 - First-Year Seminar: Networks: Degrees of Separation and Other Phenomena Relating to Connected Systems
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STOR 555: Mathematical Statistics
3.00 Credits
University of North Carolina at Chapel Hill
Prerequisite, STOR 435. Functions of random samples and their probability distributions, introductory theory of point and interval estimation and hypothesis testing, elementary decision theory.
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STOR 555 - Mathematical Statistics
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STOR 56: First-Year Seminar: The Art and Science of Decision Making in War and Peace
3.00 Credits
University of North Carolina at Chapel Hill
This seminar will use recently assembled historical material to tell the exciting story of the origins and development of operations research during and after World War II.
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STOR 56 - First-Year Seminar: The Art and Science of Decision Making in War and Peace
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STOR 582: Neural Network Models for the Decision and Cognitive Sciences
3.00 Credits
University of North Carolina at Chapel Hill
Prerequisite, MATH 231, PHIL 155, PSYC 210, or STOR 155 or 215. The interactions between cognitive science and the decision sciences are explored via neural networks. The history of these networks in neuroscience is reviewed and their adaptation to other fields such as psychology, linguistics, and operations research is presented.
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STOR 582 - Neural Network Models for the Decision and Cognitive Sciences
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STOR 60: First-Year Seminar: Statistical Decision-Making Concepts
3.00 Credits
University of North Carolina at Chapel Hill
We will study some basic statistical decision-making procedures and the errors and losses they lead to. We will analyze the effects of randomness on decision making using computer experimentation and physical experiments with real random mechanisms like dice, cards, and so on.
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STOR 60 - First-Year Seminar: Statistical Decision-Making Concepts
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STOR 61: First-Year Seminar: Statistics for Environmental Change
3.00 Credits
University of North Carolina at Chapel Hill
Studies the Environmental Protection Agency’s Criteria Document, mandated by the Clean Air Act; this document reviews current scientific evidence concerning airborne particulate matter. Students learn some of the statistical methods used to assess the connections between air pollution and mortality, and prepare reports on studies covered in the Criteria Document.
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STOR 61 - First-Year Seminar: Statistics for Environmental Change
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STOR 612: Models in Operations Research
3.00 Credits
University of North Carolina at Chapel Hill
Required preparation, calculus of several variables, linear or matrix algebra. Formulation, solution techniques, and sensitivity analysis for optimization problems which can be modeled as linear, integer, network flow, and dynamic programs. Use of software packages to solve linear, integer, and network problems.
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STOR 612 - Models in Operations Research
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STOR 614: Linear Programming
3.00 Credits
University of North Carolina at Chapel Hill
Required preparation, calculus of several variables, linear or matrix algebra. The theory of linear programming, computational methods for solving linear programs, and an introduction to nonlinear and integer programming. Basic optimality conditions, convexity, duality, sensitivity analysis, cutting planes, and Karush-Kuhn-Tucker conditions.
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STOR 614 - Linear Programming
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