The Institute for Quantitative Theory and Methods is committed to promoting quantitative training in undergraduate education. QuanTM is focused on engaging Emory's undergraduate students with a number of initiatives, as well as engaging high school students interested in future quantitative study. QuanTM currently offers a new college-wide instructional resources in quantitative methodology and an undergraduate research fellows program.
The Institute also offers a number of programs designed to support faculty and graduate students interested in quantitative theory and methodology. Each year the Institute supports several visiting pre- and post-doctoral fellowships. For faculty interested in developing quantitative skills, QuanTM also offers a competitive skill-building leave program. Finally, faculty and graduate students in need of statistical consulting are welcome to use QuanTM's statistics help desk.
Introduces students to the style of analytical thinking required for research in the social sciences, the concepts and procedures used in the conduct of empirical research, and the use of computers for analysis of quantitative social science data
Teaching the necessary mathematical background for students to properly derive and implement common statistical modeling techniques employed in the social sciences. Covers core concepts of linear algebra and multivariable calculus, which are necessary skills for social science research.
Covers the structure of probability theory. Discusses the commonly encountered probability distributions, both discrete and continuous. Considers random sampling from the population, and the distribution of some sample statistics. Discusses the problem of estimation, and hypothesis testing.
Covers the basic technique in quantitative social science research, including procedures for regression analysis. Addresses the foundations of statistical hypothesis testing via linear regression models. Each topic will cover the implementation of relevant methods in the statistical program R.
Special Topics Courses. Includes Game Theory I/II, Maximum Likelihood Estimation, Longitudinal Data Analysis, Experimental Methods, Survey Research Methods, Computational Modeling, and Advanced Topics: Bayesian Statistics
Engage in statistical study and mentor peers in statistics; attend an orientation, work with Academic Support programs to develop mentoring skills, have weekly meetings with the instructor, attend one QTM 100 section a week, and hold mentoring sessions for current QTM 100 students.