Lecture Notes
- Graduate Probability I (Math 733): Lyu_prob_notes
- Machine Learning: lecturenote_156
- Intro to Probability Theory : lecturenote_170AB
- Stochastic Processes: stochastic_notes
- Mathematical Finance: lecturenote_174E
- Introduction to Probability and Statistics II: lecturenote_170S
UW-Madison
- Fall 2023: 734 Probability Theory II
- Spring 2023: 535 Mathematical Methods in Data Sciences
- Fall 2022: 733 Probability Theory I [syllabus]
- Spring 2021: 431 Introduction to Probability Theory [syllabus]
- Fall 2021: 632 Stochastic Processes [syllabus]
UCLA
- Winter 2020: 156 Machine Learning [GitHub, syllabus]
- Spring 2020: 170S Statistics II [syllabus1, syllabus2]
- Fall 2020: 170S Statistics II (Course coordinator)
- Summer 2020: 170S Statistics II, 174E Mathematical Finance [syllabus]
- Spring 2020: 170S Statistics II
- Winter 2020: 170S Statistics II
- Fall 2019: 170S Statistics II
- Summer 2019: 170A Probability Theory, 170B Probability Theory, 174E Mathematical Finance
- Spring 2019: 170B Probability Theory
- Winter 2018: 170A Probability Theory, 171 Stochastic Processes [syllabus]
- Fall 2018: 170B Probability Theory [syllabus]
OSU
- Spring 2018: on TRIPODS grant support
- Spring 2017 – Fall 2017: On Presidential fellowship
- Fall 2016: On departmental (SGA) fellowship
- Spring 2016: On departmental (SGA) fellowship
- Fall 2015: Math 2153 (Calculus 3) Math2153notes
- Spring 2014: Math 1131 (Calculus for business)
- Fall 2014: Math 1131 (Calculus for business)
- Summer 2013: Math 1152 (Calculus 2)
- Spring 2013: Math 1151 (Calculus 1)
- Fall 2013: Math 1151 (Calculus 1)