Teaching

I will be populating this list with course notes where appropriate, and at least a syllabus when not. If you're interested in my notes for any of the classes mentioned, please do email me.

If you want to know what it's like to take a class from me, look no further.

Spring 2019: Advanced Algorithms

Spring 2018: Computational Geometry

Fall 2017: Ethics in Data Science
Fall 2017: Seminar: Reading Classic Theory Papers

Spring 2017: Advanced Algorithms
Spring 2017: When Machines Decide: the promise and peril of living in a data-driven society

Fall 2016: Clustering
Fall 2016: When Machines Decide: the promise and peril of living in a data-driven society

Spring 2016: Computational Geometry
Spring 2016: Seminar: Reading with Purpose

Fall 2015: Advanced Algorithms

Spring 2015: Clustering

Fall 2014: Advanced Algorithms
Fall 2014: Seminar: Communication Complexity

Spring 2013: Computational Geometry
Spring 2013: Seminar: Accountability in Data Mining

Fall 2012: Advanced Algorithms

Spring 2012: Discrete Structures

Fall 2011: Advanced Algorithms
Fall 2011: Seminar: Heuristics for Algorithm Design

Fall 2010: Advanced Algorithms
Fall 2010: Seminar: Modelling data with uncertainty

Spring 2010: Computational Geometry
Spring 2010: Seminar: Topics in Graph Algorithms

Fall 2009: Advanced Algorithms
Fall 2009: Seminar: Approximation Algorithms

Spring 2009: Computational Geometry
Spring 2009: Seminar: Clustering

Fall 2008: Advanced Algorithms
Fall 2008: Randomized Algorithms

Spring 2008: Seminar: The Geometry of Information Spaces

Fall 2007: Advanced Algorithms
Fall 2007: Seminar: Approximate High Dimensional Geometry

Spring 2007: Computational Geometry