Bitesize Programming (2017-2018) (link)

• Session 1 (01-11-2017) – Baby walk the computer
  • MATLAB & Python Codes
• Session 2 (08-11-2017) – You are all programs
  • MATLAB & Python Codes
• Session 3 (15-11-2017) – Programming holy trinity
  • MATLAB & Python Codes
• Session 4 (29-11-2017) – MATLAB & Python Hand in Hand
  • Notes
• Session 5 (06-12-2017) – Putting Everything Together
  • MATLAB & Python Codes + Notes
• Session 6 (24-01-2018) – Data Visualisation
  • MATLAB & Python Handout
• Session 7 (31-01-2018) – More Advanced Programming
  • MATLAB & Python Codes + Notes
• Session 8 (07-02-2018) – Combining Multiple Data Files
  • MATLAB & Python Codes + Notes + Handout
• Session 9 (21-02-2018) – Parallel Programming
  • MATLAB & Python Codes + Notes

PhD Pit Stop (Jan-Feb 2018) (link)

• Session 1 (25-01-2018)
• Session 2 (01-02-2018)
  • MS Word – Shortcuts (YouTube Video)
  • MS Word – Styles (YouTube Video)
  • MS Word – Tips and Tricks
• Session 3 (08-02-2018)

Python for busy students (Jan-Feb 2018) (link)

• Session 1 (24-01-2018)
  • Python Codes + Notes
• Session 2 (31-01-2018)
  • Python Codes + Notes
• Session 3 (07-02-2018)
  • Python Codes & Data + Notes

MATLAB for busy students (Nov-Dec 2017) (link)

• Session 1 (22-11-2017)
  • MATLAB Codes + Notes
• Session 2 (29-11-2017)
  • MATLAB Codes
• Session 3 (06-12-2017)
  • MATLAB Codes + Notes + Data

Programming for busy students (November 2017) (link)

• Session 1 (01-11-2017)
  • MATLAB & Python Codes + Notes
• Session 2 (08-11-2017)
  • MATLAB & Python Codes + Notes
• Session 3 (15-11-2017)
  • MATLAB & Python Codes + Notes

General Information

• we use Python v3.6 (Anaconda Distribution)
• any version of MATLAB should work. You can download it via UCL Software Database

Check out my UCL courses

• PhD Pitstop (link) – an excellent 12-hour course for all PhD students providing them with essential tools for a successful and efficient PhD study
• Bitesize Programming (link) – this is a series of 1-hour sessions with each session focusing on one particular aspect of programming (MATLAB & Python), for example creating animations.
• An introduction to Programming for busy students (link) – an excellent 12-hour beginner course for all students aiming to learn programming (MATLAB & Python)
• An introduction to MATLAB for busy students (link)
• An introduction to Python for busy students (link)