MET 4993 introduces students to computational methods in the Atmospheric Science through hands‐on use of MatLab. It will first introduce the interactive MatLab environment, starting with simple command‐line calculations and graphical depiction of results. The next topic will be conversion of interactive commands into scripts (m‐files). From there, the course will branch out to address topics from atmospheric dynamics, thermodynamics, and data analysis. The final third of the course will provide and introduction to statistics in the atmospheric sciences. Topics will include statistical probability distribution functions, curve fitting, and an introduction to data analysis. The course requires a cooperative code development project, such as: equivalent barotropic model, radiation‐balance climate model, Lorenz attractor, or analyses of observational data.
Instructor: Ping Zhu<firstname.lastname@example.org>
When: Spring 2010; 12:30 – 1:45 PM Tuesday/Thursday
Where: PC 324 (University Park Campus)
Prerequisites: MET 3003 and one other 3000 or 4000‐leval MET course or Permission by the instructor.
Grading: Weekly assignments (30%), Project (30%), mid-term exam, (20%) and final exam (20%)
Office hours: Monday/Wednesday/Friday, 2:00 AM – 4:00 PM or by appointment