Courses TA'd

• Stat 36-201, Statistical Reasoning and Practice; Fall 2003, 2008, Spring 2004
  Held office hours, assisted students in lab, and graded homeworks and exams.
  
  This course will introduce students to the basic concepts, logic, and issues involved in statistical reasoning, as well as basic statistical methods used to analyze data and evaluate studies. The major topics to be covered include methods for exploratory data analysis, an introduction to research methods, elementary probability, and methods for statistical inference. The objectives of this course are to help students develop a critical approach to the evaluation of study designs, data and results, and to develop skills in the application of basic statistical methods in empirical research. An important feature of the course will be the use of the computer to facilitate the understanding of important statistical ideas and for the implementation of data analysis. In addition to three lectures a week, students will attend a computer lab once a week. Examples will be drawn from areas of applications of particular interest to H&SS students.
  
  
• Stat 36-247, Statistics for Lab Sciences; Spring 2008
  Assisted students in lab.
  
  This course is a single-semester comprehensive introduction to statistical analysis of data for students in biology and chemistry. Topics include exploratory data analysis, elements of computer programming for statistics, basic concepts of probability, statistical inference, and curve fitting. In addition to two lectures, students attend a computer lab each week
  
  
• Stat 36-309/749, Experimental Design for Behavior and Social Sciences; Fall 2004, 2005, 2007
  Held office hours, assisted students in lab, and graded homeworks.
  
  Statistical aspects of the design and analysis of planned experiments are studied in this course. A clear statement of the experimental factors will be emphasized. The design aspect will concentrate on choice of models, sample size and order of experimentation. The analysis phase will cover data collection and computation, especially analysis of variance and will stress the interpretation of results. In addition to a weekly lecture, students will attend a computer lab once a week.
  
  
• Stat 36-705, Intermediate Statistics; Fall 2006
  Created homework solutions for this graduate level course.
  
  This course will cover the fundamentals of theoretical statistics. Main topics include point and interval estimation, hypothesis testing, principles of data reduction, convergence concepts and decision theory. If time permits, we will cover the basics of some techniques; possible topics include the bootstrap, variance reduction techniques, empirical bayes, and saddlepoint approximations.
  
  
• Stat 36-202, Statistical Methods; Spring 2005
  Associate Instructor. Created homework solutions and coordinated grading. Held office hours, assisted students in lab, and handled emails from students about labs.
  
  This course builds on the principles and methods of statistical reasoning developed in 36-201 (or it's equivalents). The course covers simple and multiple regression, analysis of variance methods, and logistic regression. Other topics may include non-parametric methods and probability models, as time permits. The objectives of this course is to develop the skills of applying the basic principles and methods that underlie statistical practice and empirical research. In addition to three lectures a week, students attend a computer lab once week for "hands-on" practice of the material covered in lecture.