Course Schedule

Course Schedule 

Semester II,  2019
APMA Course Title Instructor Hour Time Location
0160 Introduction to Scientific Computing Fu B MWF 9 - 9:50 Friedman 101
0330 Methods of Applied Math I + II Akopian E MWF 12 - 12:50 Friedman 108
0340 Methods of Applied Math I + II Dobrushkin E MWF 12 - 12:50 Barus & Holley 168
0350 Applied ODEs Dafermos I TR  10:30-11:50 85 Waterman 015
0360 Applied PDEs Maxey C MWF 10- 10:50 85 Waterman 015
0650 Essential Statistics Lawrence H TR 9 - 10:20 MacMillan 115
1070 Quantitative Models of Biological Systems Bienenstock C MWF 10- 10:50 CIT Watson 227
1160 An Introduction to Numerical Optimization Darbon C MWF 10- 10:50 CIT 165
1200 Operations Research and Probabilistic Models Matzavinos H TR 9 - 10:20 Barus & Holley 168
1360 Topics in Chaotic Dynamics Bramburger B MWF 9 - 9:50 B & H 141
1650 Statistical Inference I Shin D MWF 11 - 11:50 MacMillan 117
1660 Statistical Inference II Li K TR 2:30 - 3:50 Salomon 003
1720 Monte Carlo Simulation w/app Mukerjee F MWF 1 - 1:50 MacMillan 115
1740 Recent Applications of Probability and Statistics Wang D MWF 11- 11:50 Friedman 102
1910
Sec 1
Race and Gender in the Scientific Community Sandstede  H TR 9 - 10:20 170 Hope 108
1910
Sec 2
Race and Gender in the Scientific Community Goodwillie I TR 10:30 - 11:50 TBA
1940Y Wavelets and Applications Ainsworth J TR 1 - 2:20 Barus & Holley 159
2120 Hilbert Spaces and their Applications Dong I TR 10:30- 11:50 111 Thayer 112
2200 Nonlinear Dynamical Systems Mallet-Paret G MWF 2 - 2:50 Sayles 200
2560 Numerical Solutions of Partial Differential Equations II Shu M M 3 - 5:30 Barus & Holley 159
2580A Computational Fluid Dynamics Karniadakis M M 3 - 5:30 CANCELLED
2610 Recent Applications of Probability and Statistics Wang D MWF 11 - 11:50 Friedman 102
2640 Theory of Probability Harrison J TR 1 - 2:20 Barus & Holley 161
2680 Mathematical Statistics II Gidas Q R 4 - 6:30 Barus & Holley 161
2822B Introduction to Parallel Computing on Heterogeneous (CPU & GPU) Systems Grinberg O F 3 - 5:30 CIT Watson 269
Semester I,  2019
APMA Course Title Instructor Hour Time Location
0330 Methods of Applied Mathematics I and II Yan Guo E MWF 12 - 12:50 Friedman 102
0340

Methods of Applied Mathematics I and II

Vladimir Dobrushkin E MWF 12 - 12:50 B & H 158
0350 Applied ODE's Sona Akopian G MWF 2 - 2:50 Salomon 001
0360 Applied PDE's Martin Maxey F MWF 1 - 1:50 Kassar Foxboro
1080 Inference in Genomics and Molecular Biology Charles Lawrence T

Mon Wed

3 - 4:20

B & H 155
1160 Introduction to Optimization Jerome Darbon C MWF 10 - 10:50 CIT 227
1170 Introduction to Computational Linear Algebra Shin C MWF 10 - 10:50 CIT 165
1330 Methods of Applied Mathematics Stuart Geman F MWF 1 - 1:50 B & H 155
1650 Statistical Inference I Carly Klivans K Tues & Thurs 2:30 -3:50 McMillan 117
1655 Statistical Inference I Hui Wang K Tues & Thurs 2:30 -3:50 Freidman 102
1690 Computational Probability and Statistics Matt Harrison G MWF 2 - 2:50 McMillan 117
1710 Information Theory Govind Menon B MWF 9 - 9:50 Salomon 003
1930T  Waves Constantine Dafermos D MWF 11 - 11:50 B & H 163
1930U Introduction to Stochastic Differential Equations Tasos Matzavinos N W 3 - 5:30 B & H 157
1971 Independent study with writing requirement
2190 Nonlinear Dynamical Systems: Theory and Applications John Mallet-Paret J Tues & Thurs 1 - 2:20 Sayles 002
2230 Partial Differential Equations Honjie Dong H Tues & Thurs 9 - 10:20 Rockefeller 206
2550 Numerical Solution of Partial Differential Equations I Chi-Wang Shu M M 3 - 5:30 B & H 165
2580A Computational Fluid Dynamics (Incompressible) George Karniadakis N W 3 - 5:30 B & H 168
2630 Theory of Probability K. Ramanan J Tues & Thurs 1 - 2:20 B & H 163
2670 Mathematical Statistics B. Gidas Q Thurs 4 - 6:30 Salomon 003
2811Z Stochastic Partial Differential Equations: Theories and Numerics Z. Zhang P Tues 4 - 6:30 B & H 158
2812A Introduction to Stochastic Control Paul Dupuis J Tues & Thurs 1 - 2:20 170 Hope 118
2812B An Introduction to SPDE Samuel Punshon-Smith O Fri 3 - 5:30 B & H 155