Scientists use computation to simulate real-world scenarios, to mine data obtained in large-scale studies, and to gain insights that might otherwise stay hidden. A bit of programming knowledge and a couple of basic techniques are all that you need to get better and faster results. Our courses below help you learn Python, a language now often used in science, as well as many techniques that you can use in your own projects. Whether you're a student or a seasoned researcher, you're welcome to learn with us!
The courses are self-contained and allow you to progress by studying programming theory and... writing many programs! All problems are small versions of real scientific computing challenges. Later, you'll progress towards defining, designing and implementing larger projects. When registered, you get access to the tutorials where we are available to help you. And you will get access to an online a forum where students may post questions and answers.
Our courses are available to take online for free by following the links to the course websites, below. If you would like to have access to tutoring opportunities or take the courses for credit, you may officially register as a student as described below. If you register and then hand in all assignments and take the relevant exams, you can earn course credit (ects). If you'd like to use this credit as part of your diploma, please ask your program's study adviser for help in transferring credits.
Follow the links below to have a look at any of the courses. You can immediately start practicing if you'd like! You might also consider registering to earn credit or a certificate.
Workload: 80 hours / Course code: 50621SCP3Y
In this course you’ll learn Python, a programming language that is increasingly used by scientists from all fields of study. We focus on the absolute basics of programming, which you will learn while doing programming problems from several scientific areas.
Workload: 80 hours / Course code: 50622SCP3Y
This course continues the problem solving curriculum from Scientific Programming 1. You’ll work on larger programs and get to know Python a lot better, so you get ready to learn more programming techniques on your own.
Workload: 160 hours / Course code: 5062DAPR6Y
In this course you’ll build your own toolkit of useful programs with which you can read, transform and analyse data that you might find in various scientific areas. Before starting this course, you need a thorough understanding of Python!
You can earn a certificate or course credit by registering one or more of the courses. Enrolling officially also connects you to the community of students and teachers for our courses. Generally, you can plan to do any of our courses between September–December (must finish by December 15th) and February–May (must finish by May 15th).
Always take the course workload and the course periods into account when registering! When starting a course you must finish during the same semester. Exams are only offered twice per semester—check the dates on the course websites.
Course websites are updated with new dates, content
and regulations a few weeks before semester's start.
Have questions? Send us an e-mail at email@example.com. One of the teachers or assistants will help you out.