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 STAT 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) |