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View Resource Economic Applications of Game Theory

This course introduces the basic tools of game theoretic analysis and outlines some of the many applications of game theory with extensive lecture notes, slides, assignments, and exams with solutions. Game Theory is a misnomer for Multiperson Decision Theory, the analysis of situations in which payoffs to agents depend on the behavior of other agents. It involves the analysis of conflict,...
View Resource Logistical and Transportation Planning Methods

This course provides lecture notes, readings, and assignments on quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis and in the planning and design of logistically oriented urban service systems, as well as a unified study of functions of random variables, geometrical probability, multi-server queuing theory, spatial location theory,...
View Resource Probabilistic Systems Analysis and Applied Probability

This course features a full set of lecture notes and problem sets introducing students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.
View Resource Statistical Mechanics II

This course is the second half of a two-semester course on statistical mechanics. The website features twelve problem sets and detailed lecture notes. Topics explored include: the hydrodynamic limit and classical field theories; phase transitions and broken symmetries: universality, correlation functions, and scaling theory; the renormalization approach to collective phenomena; integrable models...
View Resource Computing and Data Analysis for Environmental Applications

This course site contains a complete set of course materials, including lecture notes, assignments and exams. This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. The MATLABĀ® programming language is used to perform virtual experiments and to analyze ...
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