/GEO4300_2023

The exercise template for GEO4300 Geophysical Data Science (2023)

Primary LanguageJupyter NotebookOtherNOASSERTION

GEO4300 lab exercise templates (2023)

These are exercise templates for GEO4300/9300 Geophysical Data Science. The step-by-step guidance:

  • Install python and configure your development environment. You may also use the remote resource (See Lab_technique_Q&A.pdf)
  • Get the exercise templates:
$ cd <your-dir>
$ git clone https://github.com/liuh886/GEO4300_2023.git

Or you can also download it from here or Canvas.

  • Finish assignment and deliver the exercise.

Exercise 0: Introduction to Python with Jupyter Notebook

The ex0 assignment is not mandatory, but you are encouraged to submit your .ipynb/.html files to try the submission system.

  • Being familiar with Python environment.
  • Using Jupyter Notebook to finish the assignment and export the results.
  • Data input/output by Pandas.
  • Plot the figures by Matplotlib

Exercise 1: probability distributions

The ex1 corresponds to following lectures:

  • L1_Basic concepts and random variables.pdf
  • L1_Basic concepts of probability and random variables.pdf
  • L2_Discrete probability distributions.pdf
  • L3_Normal distribution and other continuous distributions.pdf

You are going to use the distribution functions from scipy.

Exercise 2: frequency analysis

The ex2 corresponds to the following lectures:

  • L4_Frequency analysis.pdf

Exercise 3: confidence intervals

  • L5_Confidence interval.pdf

Exercise 4: hypothesis testing

The ex4 corresponds to the following lectures:

  • L6_Hypothesis testing.pdf

Exercise 5: regression analysis

The ex5 corresponds to the following lectures:

  • Lecture: correlation and simple regression
  • Lecture: Multiple regression
  • Lecture: Multiple regression and PCA

You are going to use statsmodels and do regression analysis.

Exercise 6: time series analysis

The ex6 corresponds to the following lectures:

  • L8-9_Time series analysis and stochastic models.pdf

Copyright

Copyright (c) 2023 GEO4300 Geosciences Department of UiO. All Rights Reserved. Unauthorized copying of this file, via any medium is strictly prohibited.

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