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2017

Course information

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Lesson 8

  • Lesson 8 overview
  • Lecture
  • Introduction to NumPy
  • Basic statistical terms and concepts
  • Uncertainty
  • Reporting measurements
  • The normal distribution
  • Exercise 8
  • Hints for Exercise 8

Lesson 9

  • Lesson 9 overview
  • Lecture
  • Goodness-of-fit calculations
  • Least squares regressions
  • Exercise 9
  • Hints for Exercise 9

Lesson 10

  • Lesson 10 overview
  • Lecture
  • Solving the diffusion equation
  • Exercise 10
  • Hints for Exercise 10

Lesson 11

  • Lesson 11 overview
  • Lecture
  • Solving the advection-diffusion equation
  • Exercise 11
  • Hints for Exercise 11

Lesson 12

  • Lesson 12 overview
  • Lecture
  • Viscous flow down an incline
  • Theory for Exercise 12
  • Exercise 12
  • Hints for Exercise 12

Lesson 13

  • Lesson 13 overview
  • Lecture
  • Exercise 13
  • Hints for Exercise 13

Lesson 14

  • Lesson 14 overview
  • Lecture
  • Exercise 14
  • Hints for Exercise 14

Final report

  • Final paper information
  • Scientific articles for the final paper
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© Copyright 2017, David Whipp, University of Helsinki Last updated on Feb 20, 2020.

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