TEACHING PAGE

2014/15: Acting Department Head (again!). In Term 2, Lang Wu and I are each teaching 1.5 credit modules of STAT 536 (his first, then mine starts Feb. 24th).

2013/14: I was on sabbatical in Term 1, then taught STAT 536 in Term 2.

2012/13: In term 1 I led STAT 551, our practicum statistical consulting course. I was also a minority partner in the inaugural offering of STAT 300. In term 2 I'm having a second go-around with our graduate Biostatistics course, STAT 536.

2011/12: I spent Term 1 being the acting department head. In Term 2 I taught STAT 536 , a biostatistics methods course, for the first time. I am also part of the STAT 100 team again.

In the2010/2011 academic year, I taught STAT 538 (Generalized Linear Models) in the second-half of Term 1. In Term 2 I taught STAT 344 (Sampling) and two of the modules in STAT 100.

In the 2009/2010 academic year, I taught a section of STAT 200 in Term 1. There is a General website for the course, as well as a Section-specific website. (Note: there are instructions about guest login to these sites.) In Term 2 I taught STAT 530, a graduate course on Bayesian analysis.

I was on sabbatical for the 2008/2009 academic year.

In the 2007/2008 academic year, I again taught STAT 551, our graduate practicum statistical consulting course. Also, I was part of the erstwhile team mounting the inaugural offering of STAT 100.

In the 2006/2007 academic year, I taught:

STAT 538, a graduate half-course on "generalized linear models".

and I taught:

STAT 551, our graduate practicum statistical consulting course.

In the 2005/2006 academic year, I taught:

STAT 545, a graduate course on "modern applied statistics".

STAT 307 and 308, which is the undergraduate statistical "laboratory" sequence.

In the 2004/2005 academic year, I taught:

STAT 307 and 308.

STAT 538, a graduate course on generalized linear models.

In the 2003/2004 academic year, I taught:

STAT 307 and 308.

STAT 535A, a half-course (1.5 credits) on statistical computing at the graduate level.

STAT 545A, a half-course (1.5 credits) on applied statistics (via R/S-Plus) at the graduate level.