Programming Level-up Course - Overview

Welcome to the Programming Level-up Course. In this series of lectures, we will cover everything we need to be able to program in a Linux-based environment, and use the high performance computers (also called cluster/supercomputers) to run experiments.

You can find my personal page over at: https://pageperso.lis-lab.fr/jay.morgan/

As we progress through the lectures, I will also make the course publicly available. These lectures will be hosted at: https://pageperso.lis-lab.fr/jay.morgan/teaching.html in a variety of formats (i.e. PDF, HTML).

If you have any questions please email me directly. My email address is jay.morgan@lis-lab.fr. Other modes of contact can be found on my personal website listed above.

• 10 2-hour sessions
• Each session will be conducted in a computer lab and will be combination of a lecture and exercises
• The course is intended to get everyone up-to-speed with the various facets of programming you will need in other courses.
• If time allows, each lecture will have an exercise – though this is not a strict requirement. These exercises are not marked but serve to get you thinking about what you've learnt in the lecture.

This course aims to deliver everything you need. If you attend each lecture, you will know what you need for the following lectures. Despite this design, however, I have included a list of additional resources below. These resources are optional, but they will take you beyond what you're taught in these sessions and enable you to become a Programming Master!

The course will cover a broad spectrum of skills used when programming for scientific research. This includes the programming and scripting itself (in our case, Python programming), managing the environment in which we work (i.e. working in a Linux-based environment and managing our projects with version control), and interacting with the supercomputers to perform intensive computations.

I have included below a rough indication of whats going to be taught and when. Of course, this is subject to change based upon scheduling constraints and rate of progression.