Fall 2024 Graduate Courses in AMSC/MATH/STAT
| Monday/Wednesday/Friday | ||
|---|---|---|
| 9:00 | MATH 730 STAT 700 | Fundamental Concepts of Topology (Rosenberg) Mathematical Statistics I (Slud) |
| 10:00 | MATH 630 AMSC 660 | Real Analysis I (Grillakis) Scientific Computing I (Cameron) |
| 11:00 | MATH 848P STAT 741 AMSC 666 | Selected Topics in Geometry and Topology; Geometric Group Theory (Chen) Linear Statistical Models I (TBA) Numerical Analysis I (von Petersdorff) |
| 12:00 | MATH 808E MATH 858C MATH838C MATH858I | Selected Topics in Algebra; Complex abelian varieties (Gholampour) Selected Topics in Analysis; Mathematical Methods in Machine Learning (Czaja) Topics in Dynamics (Liverani) *Meets Monday and Wednesday Selected Topics in Analysis; Reaction-Diffusion Equations (Berestycki) *Meets Wednesday |
| 1:00 | MATH 636 | Representation Theory (Haines) |
| 2:00 | MATH600 | Abstract Algebra I (Ebrahimian) |
| 4:00 | MATH 695 | Teaching Seminar (Long) |
| Tuesday/Thursday | ||
|---|---|---|
| 9:30 | MATH 642 MATH 712 STAT 818J AMSC 721 | Dynamical Systems I (Forni) Mathematical Logic I (Laskowski) Selected Topics in Statistics; Large Deviations (Dolgopyat) Mathematical Population Biology (Gumel) |
| 11:00 | MATH 661 MATH 673 MATH 858F STAT 705 STAT818N | Complex Analysis II (Blocki) Partial Differential Equatiosn I (Margetis) Selected Topics in Analysis; Collective Dynamics of Active Particles (Tadmor) Computational Statistics (Lyzinski) Sel. Top. in Statistics; Statistical Foundations of Deep Neural Network Models (Lin) |
| 12:30 | MATH 620 MATH 632 MATH 742 MATH818C AMSC698Q | Algebraic Number Theory I (Tamvakis) Functional Analysis (Balan) Geometric Analysis (De Rosa) Selected Topics in Logic: Descriptive Set Theory and Abstract Analysis (Rosendal) Advanced Topics in Applied Mathematics; The Mathematics of Quantum Information Science (Trivisa) |
| 2:00 | MATH 606 MATH848N STAT600 AMSC 715 | Algebraic Geometry I (Bejleri) Selected Topics in Geometry and Topology; Topics in Differential Geometry (Rubinstein) Probability Theory I (Gu) Numerical Methods for Evolution Partial Differential Equations (Tadmor) |
| 5:00 -6:15 | ||
| Tuesday/Thursday | ||
|---|---|---|
| 9:30 | MATH 660 MATH 858G STAT 601 AMSC 808X | Complex Analysis I (Tamvakis) Selected Topics in Analysis; ASYMPTOTIC METHODS WITH APPLICATION (Margetis) Probability Theory II (Dolgopyat) Adv Topics in Applied Mathematics; Machine Learning for Scientific Computing (Yang) |
| 11:00 | MATH 675 MATH 740 AMSC 764 | Analysis and PDEs (Nguyen) Fundamental Concepts of Differential Geometry (Goldman) Advanced Numerical Optimization (Goldstein) |
| 12:30 | MATH 734 MATH 848D STAT 707 STAT 818C AMSC 661 | Algebraic Topology (Zhang) Symplectic and Contact Geometry: Fundamentals and Special Topics (Cristofaro-Gardiner) Bayesian Statistics (Lahiri) Sel Top in Statistics; Introduction to Stochastic Partial Differential Equations (Cerrai) Scientific Computing II (Cameron) |
| 2:00 | MATH 674 MATH 818F MATH 848P STAT 701 | Partial Differential Equations II (Trivisa) Selected Topics in Logic; Neostability and Combinatorics (Chernikov) Selected Topics in Geometry and Topology; Topics in Differential Geometry (Rubinstein) Mathematical Statistics (Ren) |
| 5:00 -6:15 | ||