Course program

What you need to know for the third edition of the course:

  • The next edition of the course will start 11-02-2022.
  • There are 2 tracks to choose from:
    • An in-depth track that requires programming and offers participants the ability to create their own AI solutions.
    • A short track that requires no programming and offers participants a good understanding of what AI is and how it can benefit your work.

In-depth track program

  • The in depth course takes place on 17 Fridays.
  • The course days consist of lectures in the morning and afternoon Python practicals with cases focused on Radboudumc practice.
  • The program will mostly be held at Radboudumc in Nijmegen and a few times at JADS in Den Bosch.
  • The course includes project days in the Radboudumc where you will work in a team on a Radboudumc project.
  • We expect participants to spend on average 2-3 hours per week on homework and self study.
  • There will be an online training environment with support documentation, discussion forum and blended learning.
  • The course will end with a graduation ceremony where teams will present their project results and a certificate will be awarded.

An overview of the in-depth track schedule can be seen below.

Date Time Topic
11-02-2022 9-13h Introduction
18-02-2022 9-17h Data Science & Machine Learning projects / Data Understanding
25-03-2022 9-17h Basic Principles of Machine Learning / Performance Metrics
11-03-2022 9-17h Supervised Machine Learning algorithms I / Data Preparation
18-03-2022 9-17h Supervised Machine Learning algorithms II / Evaluation
25-03-2022 9-17h Deep Learning 1
01-04-2022 9-17h Deep Learning 2
08-04-2022 9-17h Data Engineering / Ethics / Privacy
22-04-2022 9-17h Project Day 1
29-04-2022 9-17h Unsupervised Machine Learning / Summary
13-05-2022 9-17h Text Mining
20-05-2022 9-17h Project Day 2
03-06-2022 9-17h Bioinformatics
10-06-2022 9-17h Project Day 3 / Visualisation
17-06-2022 9-17h AI products / Deployment
24-06-2022 9-17h Project Day 4
01-07-2022 9-13h Final Presentations

Short track program

  • The short track takes takes 10 Friday mornings/afternoons.
  • The course consists of lectures with a focus on Radboudumc practice.
  • The program will mostly be held at Radboudumc in Nijmegen and a few times at JADS in Den Bosch.
  • For the projects you can bring in your own clinical case and you will be involved by providing guidance and feedback to a team.
  • We expect participants to spend on average 2-3 hours per week on homework and self study.
  • There will be an online training environment with support documentation, discussion forum and blended learning.
  • The course will end with a graduation ceremony where project teams will present their project results and a certificate will be awarded.

An overview of the short track schedule can be seen below.

Date Time Topic
11-02-2022 9-13h Introduction
18-02-2022 9-13h Data Science & Machine Learning projects / Data Understanding
25-03-2022 9-13h Basic Principles of Machine Learning / Performance Metrics
25-03-2022 9-13h Deep Learning 1
01-04-2022 9-13h Deep Learning 2
08-04-2022 9-13h Ethics / Privacy
13-05-2022 9-13h Text Mining
03-06-2022 9-13h Bioinformatics
17-06-2022 9-13h AI products
01-07-2022 9-13h Final Presentations