I seek to foster an appreciation of the applications of statistics in every class that I teach. Specifically, in my lectures I emphasize deep conceptual understanding (as opposed to mere knowledge) of statistical methodologies that is crucial for their successful application, and integrate real data with a context and purpose. I also design the coursework and group projects in my classes so as to promote statistical literacy and thinking, the thoughtful collection of real data, and the investigative process of problem-solving and decision-making inherent in statistical applications. The ultimate positive impact of my fostering this appreciation in my classes is that my students learn how to apply statistics to address difficult real-life questions across a wide range of disciplines.
Further information on the courses that I have taught can be found in the syllabi below.
Teaching at Purdue University
STAT 695: Bayesian Data Analysis (Fall 2018)
STAT 695: Bayesian Data Analysis (Fall 2017)
STAT 490: Experimental Design (Fall 2016)
STAT 695: Bayesian Data Analysis (Fall 2016)
STAT 490: Experimental Design (Fall 2015)
STAT 513/IE 530: Statistical Quality Control (Spring 2015)