Doctoral Courses in Computational Science at Stony Brook
Students in Computational Science will be affiliated with NYCCS, and
will be welcome to all of its activities, including tutorials on the
use of supercomputing and lectures and workshops directed at the
computational science that NYCCS researchers are be engaged in, as
well as NYCCS social activities.
The students will take courses and exams and complete their degree requirements in their home departments. Because of the highly interdisciplinary nature of computational science, we anticipate that a number of students will be looking for some of their courses outside of their home departments. To facilitate this aspect of their course selection, we list here courses from NYCCS affiliated departments with a possible relevance to computational science graduate students across the university.
Applied Mathematics and Statistics Course Descriptions
Numerical Anaylsis courses:
AMS-526 Numerical analysis I
AMS-527 Numerical analysis II
AMS-528 Numerical analysis III (Numerical PDE)
AMS-565 Nonlinear wave propagation
AMS-530 Principles in parallel computing
AMS-566 Compressible fluid dynamics
AMS-621 Finite element method for PDE
Computational Biology courses:
AMS 532 - Laboratory Rotations and Journal Club in Computational Biology
AMS 535 - Introduction to Computational Structural Biology & Drug Design
AMS 533 - Numerical Methods and Algorithms in Computational Biology
AMS 536 - Molecular Modeling of Biological Molecules
AMS 537 - Dynamical Models of Gene Regulation and Biological Pattern
Formation
AMS 538 - Methods in Neuronal Modeling
AMS 530 - Principles in Parallel Computing
Quantitative Finance courses:
AMS-511 Foundation of quantitative finance
AMS-512 Capital market portfolio theory
AMS-513 Financial derivative and stochastic calculus
AMS-514 Computational finance
AMS-515 Case study in computational finance
Dynamic Programming courses:
ECO 612 Computational Economics and Dynamic Modeling
ECO 613 Computational Macroeconomics and Finance
Biomedical Engineering Course Descriptions
BME 502 Advanced Numerical & Computation Analysis Applied to Biological
Systems
BME 503 Cell & Molecular Imaging
BME 517 Radiation Physics
BME 518 Radiobiology
BME 519 Medical Health Physics
BME 526 Biological Systems Engineering
BME 530 Medical Image Formation
BME 531 Biosensing and Bioimaging
BME 532 Time Series Modeling of Biological Systems
BME 546 Statistical Analysis of Physiological Data
BME 547 Model-Based Analysis of Physiological Data
BME 550 Mathematical Models of Physiologic & Biophysical Systems
CSE 591 Medical Imaging
BME 604 Finite Element Modeling in Biology and Medicine
BME 610 Magnetic Resonance
BME 612 Biomedical Engineering Aspects for the Use of Radiation in Medicine
BME 615 Clinical Nuclear Imaging
BME 617 Clinical Radiation Oncology Physics
BME 666 Advanced Cardiac Electrophysiology
BME 666 Advanced Cardiac Electrophysiology
BME 666 Advanced Cardiac Electrophysiology
ESE 559 Digital Image Processing II
Computer Science Course Descriptions
CSE502 Computer Architecture
CSE529 Simulation and Modeling
CSE533 Network Programming
CSE548 Analysis of Algorithms
CSE549 Computational Biology
CSE564 Visualization
CSE605 Performance Evaluation Computer Systems
CSE610 Parallel Computer Architectures
CSE626 Switching and Routing in Parallel and Distributed Systems
BEE552 Biometry
BEE553 Multivariate Analysis in Biology
BEE 555 Mathematical Methods in Population Biology
BEE 562 Concepts and Methods in Evolutionary Biology
BEE564 Geometric Morphometrics
BEE 585 Research Design and Analysis in Ecology
Chemistry
CHE521 Quantum Chemistry 1
CHE525 Theoretical Chemistry
CHE528 Statistical Mechanics
Biochemistry and Structural Biology
BSB515 Computational Methods in Biochemistry and Structural Biology
Physics