My teaching practices are centered on active and inquiry-based learning. During the academic year, I teach in the School of Mathematics at Georgia Tech. During the summer, I teach at MathILy-Er, a summer program for high school students.
Courses at Georgia Tech
| F24 | 4221 Stochastic Processes I |
| S24 | 4032 Combinatorial Analysis |
| F23 | 1711 Finite Mathematics |
Courses at Rutgers
| F21, S21 | 123 Prep for Calculus |
| F20 | 351 Abstract Algebra (TA) |
| Su20 | 454 Combinatorics |
| F19, S19 | 251 Linear Algebra (TA) |
| F18, F17 | 152 Calculus II |
| S18 | 151 Calculus I |
Fall 2024: Math 4221 Stochastic Processes I
This course serves as an introduction to discrete-time Markov chains. Similarly to Math 4032 (see below), the course will be run in a primarily inquiry-based format, so classes will consist of groupwork, presentations, and student-driven class discussion. A first course in probability is a prerequisite.
Check later for a listing of topics and syllabus.
Spring 2024: Math 4032 Combinatorial Analysis
This course is run in a primarily inquiry-based format, so classes consist of groupwork, presentations, and student-driven class discussions. In addition to combinatorial methods and thinking, the emphasis is on mathematical communication, both written and oral. A list of topics is:
- enumeration (set and integer partitions, counting functions, binomials, bijective and combinatorial proofs, generating functions)
- probabilistic methods and random graphs
- extremal combinatorics (Ramsey theory, extremal graph theory, chains and antichains in posets)
- linear algebraic methods