This course is an introductory course to data analysis. The course examines foundations for statistical model building and Bayesian statistical inference from such a model. The course focuses on applications of this methodology to analysis and inference from physical experiments. The ultimate goal of the course is to develop a student's intuition towards construction of such an experiment whose result is feasible for subsequent analysis within a simple statistical framework.
MAS111 (Mathematics Core II)
To introduce basic ideas and concepts of statistical modeling and Bayesian inference to general audience. (Mathematical aspects which necessitate the knowledge of probability theory and/or measure theory are omitted.)
To attract students from other disciplines, e.g. physics, chemistry, engineering, biology, who work with experimental data, to stimulate interdisciplinary research efforts, with the goal of improving the practice of data analysis in these (or other) domain knowledge areas.