Coursework

Session 01 (31-10-2018) – Baby walk the computer
- MATLAB and Python Codes
Session 02 (07-11-2018) – We are all programmers
- MATLAB and Python Codes
Session 03 (14-11-2018) – Programming holy trinity
- MATLAB and Python Codes
- Handout – Programming Resources
Session 04 (21-11-2018) – MATLAB & Python Hand in Hand
Session 05 (28-11-2018) – Putting Everything Together
- MATLAB & Python Codes
Session 06 (05-12-2018) – Data Visualisation
- Handout – Data Visualisation Handout
Session 07 (16-01-2019) – More Advanced Topics
- MATLAB & Python Codes
Session 08 (23-01-2019) – Data Handling
- MATLAB & Python Codes
- Handout – Data Handling
Session 09 (31-01-2019) – Parallel Programming
- MATLAB & Python Codes

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

PhD Pit Stop (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.
MATLAB Programming – three excellent 12-hour courses for students aiming to learn programming in MATLAB. Beginner course focuses on algorithms, while the Intermediate course focuses on commands. The Advanced course contains topics on Artificial Intelligence (such as Deep Learning), code optimisation and other advanced topics.

Python Programming – two excellent 12-hour courses for students aiming to learn programming in Python. Beginner course focuses on algorithms, while the Intermediate course focuses on commands.

Javadi Lab