CURRENT & UPCOMING COURSES: GRADUATE 
Fall 2014 
AMSC/MATH RIT: 
Weather, Chaos, and Data Assimilation 
 
Organizers: 
Kayo Ide & Brian Hunt

 
Time & location 
M 2:00pm3:45pm & 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 5:00pm6:15pm & CSIC 4122 
 
Description 
In the sequence, AMSC 663 & 664 students work on a yearlong 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 9:30am10:45am & 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 10:00am12:30pm & 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 11:00am12:15pm & 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 4:00pm5:30pm & MATH 0102 
 
Description: 
Weekly seminar course on mathematical problemsolving 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 9:30am10:45am & 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 yearlong 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 stateofmethods of data assimilation. Theory, techniques and strategies of these methods, as well as their possible drawbacks. Handson experimentation with variational and other data assimilation systems. 

AOSC 630: 
Statistical Methods in Meteorology and Oceanography 
 
Instructor: 
Eugenia Kalnay 
 
Time & location: 
W 11:30am2:00pm & CSS 2428 
 
Description: 
Parametric and nonparametric 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: 
LargeScale Atmospheric Dynamics 
 
Instructor: 
Kayo Ide 
 
Description: 
The physics of the atmospheric motions that control midlatitude 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. 





