# University of Wisconsin

# Winter 2023

INTEREGR601 (Using Writing to Teach in Any Discipline) - Mary-Kathryn Keran
INTEREGR601 (Advancing Learning Through Evidence-Based STEM Teaching) - Bennett Goldberg

# Winter 2022

CS839 (Probability and Learning in High Dimension) - Yudong Chen

# Winter 2021

INTEREGR601 (Build an Inclusive Canvas Dream Course) - John Martin, Janet Staker, Karin Spader

# Fall 2020

PSY763 (Regression Models in Education) - Youmi Suk

# Winter 2020

PSY761 (Statistical Methods Applied to Education II) - Jodi Wollack
PSY773 (Factor Analysis, Multi-dimensional Scaling and Clustering Analysis) - Merve Sarac

# Fall 2019

CS703 (Program Verification and Synthesis) - Loris DAntoni
CS839 (Physics-Based Modeling and Simulation) - Eftychios Sifakis
CS880 (Advanced Learning Theory) - Ilias Diakonikolas
PSY771 (Test Construction) - Merve Sarac

# Winter 2019

ECE901 (Active Learning Reinforcement and Control) - Robert Nowak
CS880 (Algorithmic Game Theory and Machine Learning) - Christos Tzamos
CS861 (Theoretical Foundations of Machine Learning) - Jerry Zhu
CS787 (Advanced Algorithms) - Shuchi Chawla
CS766 (Computer Vision) - Mohit Gupta
CS730 (Nonlinear Optimization II) - Stephen Wright
CS704 (Principles of Programming Languages) - Aws Albanghouthi

# Fall 2018

CS765 (Data Visualization) - Michael Gleicher
CS761 (Advanced Machine Learning) - Robert Nowak
CS760 (Machine Learning) - Yingyu Liang
CS534 (Computational Photography) - Mohit Gupta