Teaching
As both and undergraduate and graduate student at The University of Pittsburgh, I have assisted my professors in teaching a variety of classes such as:- ENGR 0020 - Probability and Statistics for Engineers I
ENGR - 0020 is an introductory course for Engineers that develops probability and statistics from calculus principles. Topics covered include Combinatorics and Counting Techniques, Discrete and Continuous distributions, Statistical Inference/Confidence, 1 and 2 sample Hypothesis Testing, and Simple Linear Regression. My responsibilities for ENGR 0020 included leading recitations, conducting lectures on certain occasions, grading coursework, and holding office hours.
Semesters I have been affiliated with ENGR 0020 - Spring 2004, Fall 2005, Spring 2006, Summer 2006
- IE 1071 - Probability and Statistics for Engineers II
IE 1071 is the second course in the IE probability and statistics curriculum. It is a continuation of ENGR 0020 and focuses mainly on inferential techniques in engineering. Topics covered include multifactor ANOVA, Categorical Data Analysis, Linear and Nonlinear Regression, and Non-parametric statistics. My responsibilities for this course included holding office hours, conducting review sessions, and grading coursework.
Semesters I have been affiliated with IE 1071 - Fall 2004
- IE 1082 - Probabilistic Methods in Operations Research
IE 1082 is the second introductory course in the IE Operations Research (OR) curriculum. While this course is not a continuation of the Deterministic OR course, it provides an alternative view of classical OR problems. Topics covered include Decision Analysis under uncertainty, Markovian and General Queueing Models, and Discrete Time Markov Chains (Transient and Limiting behavior). My responsibilities for this course included conducting office hours, holding review sessions, and grading homework and quizzes.
Semesters I have been affiliated with IE 1082 - Spring 2005
- IE 1083 - Discrete Event Simulation
IE 1083 introduces students to the theory and application of simulation modeling. It is a senior level course and many students use the topics learned in this course to supplement senior design projects. My responsibilities for this course consisted of conducting the lab portion of the course and helping students develop and refine their modeling abilities. Once the basic modeling experience has been developed, students learn how to use the data that their programs generate to make effective statistical inferences. In addition to modeling practice, the course introduces advanced concepts that arise in simulation analysis such as Autocorrelation, Prescriptive Simulation concepts, and Simulation-based Integer Optimization
Semesters I have been affiliated with IE 1083 - Fall 2005
- IE 3186 - Approximate Dynamic Programming
In the Spring of 2009 I helped develop a new course for PhD students in my department. I was involved in developing the curriculum for the course, presenting lectures on a variety of topics within approximate dynamic programming.
Semesters I have been affiliated with IE 3186 - Spring 2009