This course features a complete set of lecture notes and problem sets with solutions. The objective of this subject is to understand the nature of manufacturing process variation and the methods for its control.
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 MATLAB?? programming language is used to perform virtual experiments and to analyze...
This course covers the statistical tools needed to understand empirical economic research and to plan and execute independent research projects. Provided on the site are assignments and a project idea with related materials. Topics include statistical inference, regression, generalized least squares, instrumental variables, simultaneous equations models, and the evaluation of government policies and programs.
This data archive contains data sets divided into the following categories: Astronomy, Biology, Education, Geography, Social Sciences, Sports, Transportation, Weather, and Miscellaneous. The datasets can be viewed as an html page or downloaded into Excel spreadsheets.
This article discusses a project-based approach to teaching statistics. An appendix contains a list of 20 projects that have been successfully assigned.
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.
This course is second in the series of undergraduate Statistical Physics courses and features comprehensive lecture notes and assignments. Course topics include probability distributions for classical and quantum systems; microcanonical, canonical, and grand canonical partition-functions and associated thermodynamic potentials; conditions of thermodynamic equilibrium for homogeneous and heterogeneous systems; non-interacting Bose and Fermi gases; mean field theories for real gases, binary mixtures, magnetic systems, polymer solutions; phase and reaction equilibria, critical phenomena; fluctuations, correlation functions and susceptibilities, and Kubo formulae; evolution of distribution functions: Boltzmann and Smoluchowski equations.
