Teaching
Teaching
UnderGraduate Courses
Honours Independent Study, MATH 480: Miriam Rosenberg-Lee, Statistical Approaches to Neural Network Classification, W2004
Honours Independent Study, MATH 480: Rohan Shah, Bayesian Data Analysis, W2004
Majors Project, MATH 410: Gregory Klym, Assessing Factors Underlying Frequency of Food Bank Usage, F2004
Majors Independent Study, MATH 420: Gregory Klym, Factor Analysis and Structural Equation Modelling, W2005
Honours Independent Study, MATH 480: Michelle Ross, Basic Bayesian Data Analysis, F2005
Honours Independent Study, MATH 480: Russell Shinohara, Advanced Applied Statistics, F2005
Graduate Reading Course in Statistics and Probability, MATH 697: Nicholas Chamandy, Average Case Analysis of Numerical Problems, W2005
Honours Independent Study, MATH 480: Anne-Sophie Charest, Methods for Multivariate Missing Data, W2005
Honours Project, MATH 470: Michelle Ross, Bayesian Feature Selection for Discriminant Analysis, W2006
Honours Project, MATH 470: Russell Shinohara, Annealed and Linked Importance Sampling Methods for Monte Carlo Sampling, S2006
Graduate Reading Course in Statistics and Probability, MATH 697: Benjamin Rich, Modern Regression Analysis (with Antonio Ciampi), F2006
Honours Project, MATH 470: Anne-Sophie Charest, Categorical Clustering Approaches to Multiple Imputation, W2007
Majors Independent Study, MATH 420: Erin Arthurs, Introduction to Classical and Modern Testing Theory, S2007
Undergraduate Research Project, MATH 396: Mireille Schnitzer, Longitudinal Analysis of Scleroderma Disease Activity and Severity, S2007
Majors Project, MATH 410: Erin Arthurs, Differential Item Functioning and the Scleroderma Disease Activity Index
Graduate Courses
Independent study and project courses
Principles of Statistics I, MATH 203: F2002, F2003 (2), F2004, F2005 (2), F2006, W2008
Regression and Analysis of Variance, MATH 423 / Honours Regression and Analysis of Variance: F2006, F2007, F2008 Instructor
Computation Intensive Statistics, MATH 680: W2002, F2004, W2007, F2008; Instructor
Bayesian Statistics, MATH 784: W2003, W2006, W2008; Instructor
Curriculum development
Redesigned and modernized the Probability and Statistics Undergraduate Honours Program, thereby increasing attractiveness to both students and graduate departments at other schools.
Co-designed the Joint Undergraduate Honours Program and the Joint Undergraduate Majors Program in Computer Science and Statistics with three members of the Computer Science faculty
Designed three new courses (Computation Intensive Statistics [MATH 680], Applied Bayesian Statistics [MATH 782/4], and Honours Regression and Analysis [MATH 533]) and subsantially revised the course content of two others (Principles of Statistics I [MATH 203] and Regression and Analysis of Variance [MATH 423])
Successfully argued for the removal of the restriction that prevented undergraduate mathematics students from taking the Principles of Statistics I/II sequence (MATH 203/4).
Contributed to the development of the new Biostatistics graduate curriculum with Dr. Robert Platt, Department of Epidemiology and Biostatistics