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Undergraduate probability
High-dimensional probability
Weizmann Institute of Science
Spring 2001:
Probabilistic Methods in Analysis
University of Alberta, Edmonton
Winter 2002 and 2003: Calculus II
University of California, Davis
Winter 2004: Advanced Calculus (
Math 127A
)
Winter 2004: Functional Analysis (
Math 202
)
Spring 2004: Probability Theory (
Math 235C
)
Fall 2004: Ph.D. Preliminary Exam
Workshop
Fall 2004: Reading Seminar on the Probabilistic Method in Combinatorics (
Math 290
)
Fall 2004: Probability and Convexity (
Math 280
)
Winter 2005: Reading Seminar on Randomized Algorithms (
Math 290
)
Winter 2005: Graduate Analysis II (
Math 201B
)
Spring 2005: Graduate Analysis III (
Math 201C
)
Fall 2005, Winter and Spring 2006: VIGRE Resrarch Focus
Group
"Probabilistic Aspects of Convexity and Combinatorics"
Fall 2005: Calculus I (
Math 21A
)
Fall 2006: Calculus I (
Math 21A
)
Fall 2006: Functional Analysis (
Math 202
)
Winter 2007: Non-asymptotic Random Matrix Theory (
Math 280
)
Fall 2007: Probability Theory (
Math 235A
)
Winter 2008: Probability Theory (
Math 235B
)
Winter 2008: Calculus II (
Math 21B
)
University of Michigan
Fall 2008: Introduction to Probability Theory (
Math 525
)
Winter 2009: Geometric Functional Analysis (
Math 710
)
Winter 2009: Introduction to Probability Theory (
Math/Stats 525
)
Fall 2009: Real Analysis II, a.k.a. Functional Analysis (
Math 602
)
Fall 2010: Real Analysis II, a.k.a. Functional Analysis (
Math 602
)
Winter 2011: Introduction to Probability (
Math 425
)
Fall 2011: Advanced Calculus I (
Math 451
)
Winter 2012: Introduction to Probability (
Math 425
)
Fall 2012: Probability in High Dimensions (
Math 709
)
Winter 2013: Linear Spaces and Matrix Theory (
Math 419
)
Fall 2013: AIM Student Seminar (
Math 501
)
Winter 2014: AIM Student Seminar (
Math 501
)
Fall 2015: Advanced Calculus I (
Math 451
)
Winter 2016: High dimensional probability (
Math 626
)
Winter 2017: Introduction to Probability Theory (
Math/Stats 525)
University of California, Irvine
Fall 2017: Probability (
Math 130A
)
Winter 2018: Probability (
Math 130B
)
Fall 2018: Elementary Analysis (
Math 140A
)
2019-2020: Probability Theory (Math 270ABC)
Fall 2020: Brownian motion (Math 271A)
Fall 2021: Probability (Math 130A)
Fall 2022: Brownian motion (Math 271A) and
High-Dimensional Probability for Data Science
at National University of Kyiv
Winter 2023: Probability (Math 130A)
Fall 2023, Winter 2024:
Probability Theory
(Math 270AB)