Graduate Courses
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Graduate Courses
- Algorithmic Aspects of Machine Learning, Fall 2015, Fall 2016
- Graph Algorithms, Spring 2015, Spring 2017, Fall 2019
- Geometric Algorithms, Spring 2014, Spring 2016, Fall 2018
- Randomized Algorithms, Spring 2013, Spring 2016
- Approximation Algorithms, Fall 2017
- Optimization and Decision-making Under Uncertainty, Spring 2016
- Algorithms for Decision Making at Scale, Spring 2019
- Computational Complexity, Spring 2015, Spring 2017
- Design and Analysis of Algorithms, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017
- Algorithm Paradigms, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017
Undergraduate Courses
- Design and Analysis of Algorithms, Spring 2013, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2018
- Complexity Theory, Spring 2015
- Algorithmic Foundations of Data Science Spring 2017