noobler.blogg.se - Data analysis methods in physical oceanography

#DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY HOW TO#
#DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY SOFTWARE#

Students consider societal factors affecting progress in marine science, changing popular attitudes toward the oceans, and key current policy implications of marine science. OCEAN 102 The Changing Oceans (5) I&S/NW Mikelle Nuwer Explores case studies on how the ocean drives our planet's climate system and how humans have altered marine and coastal environments. Investigates the geologic history of the Pacific Northwest, and the physics, chemistry, and biology of coastal waters using case studies. OCEAN 101 Oceanography of the Pacific Northwest (5) NW Mikelle Nuwer Introduces the fundamental principles of oceanography by focusing on the waters that surround us - the Washington coast and Puget Sound. Intended for freshmen, new transfer students, and other considering oceanography as a major. OCEAN 100 Explore Oceanography at UW (1) Explores the research and experiences of the Oceanography school's faculty, graduate students, and undergraduate students.

November 13: Alternatives to segmenting to compute spectra: averaging in frequency, spectra from the autocovariance.Detailed course offerings (Time Schedule) are available for.

November 4: More on windowing, and degrees of freedom, Homework #6 (due Wednesday, November 13).

October 30: More on error bars, normalization, and the sinc function.

October 28: Spectra, error bars on spectra, Homework #5 (due Monday, November 4).

October 23: Parseval's theorem and computing spectra.

October 21: Fourier transform notation, great traits of the Fourier transform, Homework #4.

October 16: Introducing the Fourier transform (chi-squared fitting, Nyquist frequency, cosine and sine transformations).

October 14: Least-squares fitting (linear fits, fitting sinusoids), Homework #3.

Meet at the entrance to the pier at 9:30 am. Note that the Shore Stations program would like to log their users via this form. Updated links to temperature and salinity data.

October 7: Probability density functions (error propagation, the central limit theorem, chi-squared distributions, evaluating whether data are drawn from different PDFs), Homework #2.

October 2: Probability density functions (common distributions, error analysis, outliers).

September 30: Introduction to the course (time series, mean, variance, standardĭeviation, probability density functions), Homework #1.

Bia Villas Boas' github with python notebook versions of the notes.

Lecture notes and handouts: (See TritonED for slides, since they may contain

#DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY SOFTWARE#

Software packages, applications, routines Please take the time to submit an evaluation, since it provides valuable

#DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY HOW TO#

Notification Affairs explaining how to evaluate this course. There will be some assigned reading (available inĮlectronic form), and students are expected to complete the reading.Ĭourse evaluations (Nov 22-Dec 9): You should have received a To gain from this class, students are expected to come to class, participate inĬlass discussions, ask questions.

A draft write up will be dueĭuring the final week of classes, and the final write up of your project will be due no later than The final problem set will be an independent project, which you will presentĭuring the final exam time slot (Wednesday 11 December, 8:00-11:00). The standards of scientific publication and identify your collaborators.) A midtermĪnd final problem must be completed independently. For most of the problem sets, you may workĬollaboratively, though the work that you submit must be your own. Monday and Wednesday: 9:30-10:50, Spiess Hall 330ĭiscussion: Friday: 9:30-10:20ish, Spiess Hall 330 (starting October 4)Ĭomplete weekly problem sets.