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Meetings: TueThu 5:00-6:15 in 203 Robinson Hall
- 12/01: Course Evaluations due Dec.-2 through Dec.-8
- 11/29: Posted Last exercise (EOF).
- 11/29: Posted Fortran EigenSystem Codes (Numerical Recipes).
- 11/29: Posted week-13 lecture notes.
Instructor: Andreas Münchow
Goal: Provide each student with a set of tools to confidently handle data analysis tasks in both time (space) and frequency (wave number) domains.
Format: This is a traditional lecture style course, however, most learning will take place via a set of computer projects that translate lecture materials into tested code.
Resources:
Expectations: Each student shall be able to develop, apply, and critically evaluate
- Auto-spectral analyses
- Digital filters
- Linear systems
- Least-squares function fitting, and
- Empirical orthogonal functions
Grading: 80% for problem-based projects, 10% homeworks, 10% individual in-class participation
Exam: None, but I may use occasional quizzes related to prior lectures (always open book).
Old News:
- 10/13: Posted new link on 2-D Fourier Transforms (lots of examples and imagery)
- 9/20: Posted Solution to Homework-1.
- 9/20: Posted week-4 lecture notes.
- 9/15: Posted Signal processing Applets (Johns Hopkins University)
- 9/14: Posted Santer et al. (2011)
- 9/8: Posted week-2 lecture notes.
- 9/8: Posted Link to Fourier Series Tutorials.
- 9/7: Posted week-1 reading material.
- 9/7: Posted week-1 lecture notes, powerpoin, and assignments.
- 9/1: Posted week-1 reading material.
- 9/1: Posted week-1 lecture notes and powerpoint material.
- 9/1: Created Class Web-Page
Last updated: Thu Dec 1 13:03:05 EST 2011