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Classes

CURRENT & UPCOMING COURSES: GRADUATE

Fall 2014
AMSC/MATH RIT: Weather, Chaos, and Data Assimilation
 -  Organizers: Kayo Ide & Brian Hunt
 -  Time & location M 2:00pm-3:45pm & CSS 4301
 -  Description This Research Interaction Team (RIT) studies data assimilation and related problems in the nonlinear dynamics of geophysical systems, from theory to operational applications in areas such as weather forecasting. Activities will include discussion of current group research, presentations by the RIT students, and occasional research seminars by outside expert. It is designed to foster interaction between faculty, students, and postdocs, and to get students interested in current research.
 
AMSC 663: Advanced Scientific Computing
 -  Instructors: Kayo Ide & Howard Elman
 -  Time & location TuTh 5:00pm-6:15pm & CSIC 4122
 -  Description In the sequence, AMSC 663 & 664 students work on a year-long individual project to develop software for a scientific task in a high performance computing environment. Lectures will be given on available computational environments, code development, implementation of parallel algorithms.
 
AOSC 600: Synoptic Meteorology
 -  Instructor: Daryl Kleist
 -  Time & location: TuTh 9:30am-10:45am & CSS 3400
 -  Description: Atmospheric properties and observations, meteorological analysis and charts, operational numerical forecasts. Application of quasigeostrophic theory, baroclinic instability, midlatitude and mesoscale weather systems. Tropical meteorology.
 
AOSC 614: Atmospheric Modeling, Data Assimilation and Predictability
 -  Instructor: Eugenia Kalnay
 -  Time & location: W 10:00am-12:30pm & CSS 2416
 -  Description: Solid foundation for atmospheric and oceanic modeling and numerical weather prediction: numerical methods for partial differential equations, an introduction to physical parameterizations, modern data assimilation, and predictability.
 
PHYS 715: Chaotic Dynamics
 -  Instructor: Ed Ott
 -  Time & Location: TuTh 11:00am-12:15pm & PHY 1204
 -  Description: Theory and applications of chaos in dynamical systems including such topics as strange attractors, Lapland exponents, quasiperiodicity, period doubling, intermittency, crises, fractal basin boundaries, chaotic scattering, KAM tori, and quantum chaos.
 

CURRENT & UPCOMING COURSES: UNDERGRADUATE

Fall 2014
MATH 299B: Selected Topics in Mathematics: Putnam Express
 -  Instructor: Brian Hunt
 -  Time & location M 4:00pm-5:30pm & MATH 0102
 -  Description: Weekly seminar course on mathematical problem-solving designed to help students prepare for the Virginia Tech Regional Mathematics Contest and the William Lowell Putnam Mathematical Competition.
 
AOSC 470: Synoptic Meteorology
 -  Instructor: Daryl Kleist
 -  Time & location: TuTh 9:30am-10:45am & CSS 3400
 -  Description: Atmospheric properties and observations, meteorological analysis and charts, operational numerical forecasts. Application of quasigeostrophic theory, baroclinic instability, midlatitude and mesoscale weather systems. Tropical meteorology.
 

RECENTLY TAUGHT COURSES: GRADUATE

Spring 2014
AMSC 664: Advanced Scientific Computing II
 -  Instructors: Kayo Ide & Radu Balan
 -  Description In the sequence, AMSC 663 & 664 students work on a year-long individual project to develop software for a scientific task in a high performance computing environment. Lectures will be given on available computational environments, code development, implementation of parallel algorithms.
 -  Description: An overview of the most important and state-of-methods of data assimilation. Theory, techniques and strategies of these methods, as well as their possible drawbacks. Hands-on experimentation with variational and other data assimilation systems.
 
AOSC 630: Statistical Methods in Meteorology and Oceanography
 -  Instructor: Eugenia Kalnay
 -  Time & location: W 11:30am-2:00pm & CSS 2428
 -  Description: Parametric and non-parametric tests; time series analysis and filtering; wavelets. Multiple regression and screening; neural networks. Empirical orthogonal functions and teleconnections. Statistical weather and climate prediction, including MOS, constructed analogs. Ensemble forecasting and verification.
 

RECENTLY TAUGHT COURSES: UNDRERGRADUATE

Spring 2014
AOSC 432: Large-Scale Atmospheric Dynamics
 -  Instructor: Kayo Ide
 -  Description: The physics of the atmospheric motions that control mid-latitude weather; physics of hurricanes; mathematics of climate change.
 
MATH 420: Mathematical Modeling
 -  Instructors: Brian Hunt
 -  Description: The main objective of this course is to learn from experience the various aspects of the modeling process, including:
- Formulating and refining a mathematical model;
- Mathematical and computational analysis of the model;
- Evaluation and modification of model results and assumptions, and;
- Oral and written communication of the result;
Mathematical techniques discussed will be motivated by problems from areas such as physics, biology, economics, etc.