Hanbaek Lyu

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Lecture Notes

1. Graduate Probability I (Math 733): Lyu_prob_notes
2. Machine Learning: lecturenote_156
3. Intro to Probability Theory : lecturenote_170AB
4. Stochastic Processes: stochastic_notes
5. Mathematical Finance: lecturenote_174E
6. Introduction to Probability and Statistics II: lecturenote_170S

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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]

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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]

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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)