Online courses directory (19947)
This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods.
This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB®, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages.
This course explores the theoretical and empirical perspectives on individual and industrial demand for energy, energy supply, energy markets, and public policies affecting energy markets. It discusses aspects of the oil, natural gas, electricity, and nuclear power sectors and examines energy tax, price regulation, deregulation, energy efficiency and policies for controlling emission.
This course is an introduction to labor economics with an emphasis on applied microeconomic theory and empirical analysis. We are especially interested in the link between research and public policy. Topics to be covered include: labor supply and demand, taxes and transfers, minimum wages, immigration, human capital, education production, inequality, discrimination, unions and strikes, and unemployment.
This course is designed to teach students how to price goods and services by providing a framework for understanding pricing strategies and tactics. Topics covered include economic value analysis, price elasticities, price customization, pricing complementary products, pricing in platform markets and anticipating competitive price responses.