Teaching
At Boston University
In Spring 2012 I am teaching MA 294 (Applied Abstract Algebra). From the course catalog:
Abstract algebra and its applications to combinatorics. A first exposure to groups, rings, and fields via significant combinatorial applications.
At Harvard University
In Fall 2011 I was an instructor for Math 1a (Introduction to Calculus). From the course catalog:
The development of calculus by Newton and Leibniz ranks among the greatest achievements of the past millennium. This course will help you see why by introducing: how differential calculus treats rates of change; how integral calculus treats accumulation; and how the fundamental theorem of calculus links the two. These ideas will be applied to problems from many other disciplines.
At Stanford University
In Winter 2007 I was a teaching assistant for Education 250B (Statistical Analysis in Education: Regression), a course on linear regression (this is essentially the same course I TA'ed in Winter 2006 when it was Education 250A). From the course catalog:
Primarily for doctoral students; part of doctoral research core; prerequisite for advanced statistical methods courses in School of Education. Basic regression, a widely used data-analytic procedure, including multiple and curvilinear regression, regression diagnostics, analysis of residuals and model selection, logistic regression. Proficiency with statistical computer packages.
In Fall 2006 I was the teaching assistant for Education 150 (Introduction to Data Analysis and Interpretation), an introductory statistics course that focuses on learning how to read and understand statistical analyses in research papers. From the course catalog:
Primarily for master’s students with little or no experience. Focus is on reading literature and interpreting descriptive and inferential statistics, especially those commonly found in education. Topics: basic research design, instrument
reliability and validity, description statistics, correlation, t-tests, one-way analysis of variance, and simple and multiple regression.
In Spring 2006 I was the teaching assistant for Education 266X (Workshop in Practical Quantitative Research on Educational Policy and Inequality), a workshop course in the use of statistical methods in the social sciences. From the course catalog:
Conceptual and technical skills for analyzing data concerning educational policy and inequality. How to design analytic strategies using available data sources. Interpreting and presenting results.
In Winter 2006 I was a teaching assistant for Education 250A (Statistical Analysis in Educational Research), a course on linear regression. I held weekly office hours and worked with another teaching assistant to plan and teach a section once a week. From the course catalog:
Primarily for doctoral students. Regression and categorical models as widely used data-analytic procedures. Topics: basic regression including multiple and curvilinear regression, regression diagnostics, analysis of residuals and model selection, logistic regression, analysis of categorical data. Proficiency with statistical computer packages.