Fall 2026 Graduate Courses in AMSC/MATH/STAT
| Monday/Wednesday/Friday | ||
|---|---|---|
| 9:00 | MATH 632 STAT 818R | Functional Analysis (Balan) Selected Topics in Statistics (Slud) |
| 10:00 | MATH 600 MATH 858U | Abstract Algebra I (Bejleri) Selected Top. in Analysis: Mathematical Methods in Machine Learning (Czaja) |
| 11:00 | MATH 630 MATH 712 MATH 808W AMSC 665 | Real Analysis I (Elayavalli) Mathematical Logic I (Laskowski) Selected Topics in Algebra (Zavyalov) Scientific Computing III: Data-Driven and Machine Learning Methods (Cameron) |
| 12:00 | MATH 730 MATH 858D | Agebraic Topology I (Hershkovits) Selected Topics in Analysis (Berestycki) |
| 1:00 | MATH 808B | Selected Topics in Algebra; Arithmetic of modular curves (Haines) |
| 2:00 | N/A | N/A |
| 4:00 | MATH 695 | Teaching Seminar |
| Tuesday/Thursday | ||
|---|---|---|
| 9:30 | MATH 642 MATH/AMSC 673 STAT 705 | Dynamical Systems I (Forni) Partial Differential Equations I (Henderson) Computational Statistics (Lyzinski) |
| 11:00 | MATH 661 STAT 740 AMSC 660 | Complex Analysis II (Darvas) Linear Statistical Models I (Yang) Scientific Computing I (Ray) |
| 12:30 | MATH 606 MATH 675 MATH 848E STAT 650 AMSC 663 AMSC 764 | Algebraic Geometry I (Tamvakis) Analysis and PDEs (Machedon) Sel. Topics in Geometry/Topology: (Cristofaro-Gardiner) Applied Stochastic Processes (Lyzinski) Advanced Scientific Computing I (H. Yang) Advanced Numerical Optimization (Goldstein) |
| 2:00 | MATH 740 MATH858J STAT 600 MATH 700 STAT 712 | Fundamental Concepts of Differential Geometry (Senger) Sel. Top. in Analysis: Collective Dynamics and the Emergence of Patterns (Tadmor) Probability Theory I (Adhikari) Mathematical Statistics I (Saegusa) Statistical Learning Theory (Yang) |
| 3:30
5:00 | MATH/STAT 610 MATH/ AMSC 721
AMSC 714 | Stochastic Calculus (Gu) Mathematical Population Biology (Gumel)
Numerical Methods for Stationary PDEs (Nochetto) |