Teaching

Here are the materials for some of my favorite courses that I've developed and taught over the years. Let me know if you use and enjoy these materials. It's good to feel useful!

Data Science for Global Applications A course in data science for the Masters in Law and Diplomacy program at the Tufts University Fletcher School. This course consists of three modules: data exploration, data visualization, and data modeling. Coding is carried out in Python and the technical work is backed by readings on the social, political, and global imacts of big data. The course assumes no prior experience with Python or data science.
Foundations of Mathematical Proof Writing An introduction to the higher-level mathematics necessary to obtain a mastery of proof writing techniques including conditional, biconditional, contradiction, induction, set-theoretic, and existence and uniqueness proofs. Topics of mathematical content include mathematical logic, sets, relations, functions, number systems, and countability.
An Inquiry Based Learning Course in Number Theory This course is intended to provide an understanding of the general principles of elementary number theory and to see these in the context of the big problems in current number theoretic research. More specifically, this course covers: divisibility theory of integers, distribution of primes, theory of congruences, Fermat’s theorems, special number theoretic functions, primitive roots, and the quadratic reciprocity law.