At Wharton, I have taught five courses:
- FNCE237/537, "AI and Data Science in Finance," an Undergraduate/Quantitative Finance Master's-level course;
- FNCE737, "AI and Data Science in Finance," an MBA-level course;
- FNCE934, "Advanced Topics in Dynamic Asset Pricing," an advanced PhD-level course;
- FNCE911, "Foundations for Financial Economics," a first-year PhD-level course;
- FNCE217/206/717, "Financial Derivatives," an Undergraduate/MBA-level course.
Ph.D.
Wharton:
- FNCE934 - Advanced Topics in Dynamic Asset Pricing (Instructor)
- Fall 2021 (syllabus): the evaluation is 4.0/4.0
- FNCE911 - Foundations for Financial Economics (Instructor)
- Fall 2021 (syllabus): the evaluation is 3.80/4.0
Previous:
- Advanced Continuous-Time Finance (Teaching Assistant)
- Advanced Empirical Finance (Teaching Assistant)
- Linear Models (Teaching Assistant)
- Advanced Probability Theory (Teaching Assistant)
- Advanced Data Analysis (Teaching Assistant)
MBA/MFin
Wharton:
- FNCE737 - AI and Data Science in Finance (Instructor)
- FNCE717 - Financial Derivatives (Instructor)
- Fall 2017 (syllabus): the evaluation is 3.56/4.0
Previous:
- Retirement Finance, Lifecycle Investing, and Asset Management (Teaching Assistant)
- Options and Futures (Teaching Assistant)
- Functional and Strategic Finance (Teaching Assistant)
Undergraduate & Master of Finance in Quantitative Finance
Wharton:
- FNCE237/537 - AI and Data Science in Finance (Instructor)
- FNCE217/206 - Financial Derivatives (Instructor)
- Fall 2023: the evaluation is 3.39/4.0
- Spring 2017: the evaluations are 3.63/4.0 and 3.59/4.0
- Fall 2017 (syllabus): the evaluation is 3.35/4.0
Previous:
- Theory of Statistics (Teaching Assistant)
- Introduction to Statistics for Social Scientists (Teaching Assistant)