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  • MSc Seagoing Oceanography

Overview

  • Course catalog listing
  • Syllabus (SuSe24)
  • Schedule (SuSe24)

Topics

  • 1. Course overview
  • 2. Scientific basis
  • 3. Instruments and platforms
  • 4. Equations v data
  • 5. AMOC Methods
  • 6. Experiment design
  • 7. Sensors
  • 8. Sampling & Uncertainty
  • 9. Case Study 2
  • 10. Good research practice
  • 11. Cruise anatomy

Exercises

  • Exercise 0a - Git
  • Exercise 0b - Python
  • Exercise 1 - Profile data
  • Exercise 2a Time series
  • Exercise 2b Filtering
  • Exercise 3 - Exploring map projections
  • Exercise 4 - Slopes & Integrals
  • Exercise 5 (demo) - Optimal interpolation
  • Exercise 6 - CTD Alignment
  • Exercise 7 (demo) - Gliders in the Baltic

Assignments

  • Assignment 1
  • Assignment 2
  • Group Assignment

Resources

  • Books + Reading
  • Git for sharing & versioning
  • Python
  • Glossary
  • Setting up a jupyter book
    • Installation
    • Prepare the git repositories
    • Use of tokens
    • Regenerating the book after changes
  • Repository
  • Open issue

Index

A | B | E | P | R | U

A

  • accuracy

B

  • bias error

E

  • error

P

  • precision

R

  • random error

U

  • uncertainty

By Eleanor Frajka-Williams

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