Fifth edition

Date Time Topic Content Location Lecturer(s)
08-09-2023 10-17h Introduction + Machine Learning 1 How is AI changing healthcare? How to run an AI project? Follow the CRIPS-DM model
for data science projects and start with understanding your data
George Padberg, route 924 Bram van Ginneken
Joran Lokkerbol
15-09-2023 13:30-17h Machine Learning 1 Machine learning in Python George Padberg, route 924 Joran Lokkerbol
22-09-2023 9-17h Machine Learning 2 Learn the basic principles of machine Learning and
how to measure the Performance of machine learning models
George Padberg, route 924 Joran Lokkerbol
Silvan Quax
29-09-2023 9-17h Machine Learning 3 A start is made to cover the most important supervised
machine learning algorithms and you will learn how to prepare your data
George Padberg, route 924 Joran Lokkerbol
Silvan Quax
06-10-2023 9-17h Deep Learning 1 Understand how convolutional neural networks can be used
for medical image analysis
George Padberg, route 924 Bram van Ginneken
13-10-2023 9-17h Deep Learning 2 Learn how to combine text, images and biomedical data for
better deep learning models
George Padberg, route 924 Bram van Ginneken
27-10-2023 9-17h Deep Learning 3 Learn about Transformer models, ChatGPT George Padberg, route 924 Bram van Ginneken
03-11-2023 9-17h Project Day 1 Defining project goals and understanding your data George Padberg, route 924 -----
10-11-2023 9-17h Data Engineering / AI Products The FAIR principles of data management
are covered and learn how to choose a suitable AI product
George Padberg, route 924 RTC Data Stewardship, Kicky van Leeuwen
17-11-2023 9-17h Project Day 2 Data preparation and model development George Padberg, route 924 -----
24-11-2023 9-17h Text Mining & Bioinformatics Learn how to get valuable insights from medical records
and about AI applications in genetics
George Padberg, route 924 RTC Bioinformatics, Djoerd Hiemstra, Koen Dercksen
01-12-2023 9-17h Project Day 3 Model optimization George Padberg, route 924 -----
08-12-2023 9-17h Project Day 4 Evaluating model performance and result visualisation George Padberg, route 924 Lonneke Opsteegh
15-12-2023 9-17h Ethics & Privacy / Deployment Ethical and privacy concerns regarding the use of AI are discussed and learn how to deploy your own AI product in practice George Padberg, route 924 Marianne Boenink, Leon Haszing, Bram van Ginneken, Erik Gelderblom, Mark van Grinsven
22-12-2023 9-17h Project Day 5 Evaluating model performance George Padberg, route 924 -----
12-01-2024 9-13h Final Presentations Project groups will present their final results George Padberg, route 924 -----

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

Date Time Topic Content Location
08-09-2023 10-17h Introduction + Machine Learning 1 How is AI changing healthcare? How to run an AI project? Follow the CRIPS-DM model
for data science projects and start with understanding your data
George Padberg, route 924
22-09-2023 9-13h Machine Learning 2 Learn the basic principles of machine learning and
how to measure the Performance of machine learning models
George Padberg, route 924
06-10-2023 9-13h Deep Learning 1 Understand how convolutional neural networks can be used
for medical image analysis
George Padberg, route 924
27-10-2023 9-17h Deep Learning 2/3 Learn how to combine text, images and biomedical data for
better deep learning models and learn about Transformer models, ChatGPT
George Padberg, route 924
03-11-2023 9-17h Project Day 1 Defining project goals and understanding your data George Padberg, route 924
10-11-2023 13-17h Project Day 2 Data preparation and model development George Padberg, route 924
17-11-2023 9-17h AI products / Project Day 2 Learn how to choose a suitable AI product and data preparation and model development George Padberg, route 924
24-11-2023 9-13h Text Mining and Bioinformatics Learn how to get valuable insights from medical records
and about AI applications in genetics
George Padberg, route 924
01-12-2023 9-17h Project Day 3 Model optimization George Padberg, route 924
08-12-2023 9-17h Project Day 4 Evaluating model performance and result visualisation George Padberg, route 924
15-12-2023 9-13h Ethics & Privacy Ethical and privacy concerns regarding the use of AI are discussed George Padberg, route 924
22-12-2023 9-17h Project Day 5 Evaluating model performance George Padberg, route 924
12-01-2024 9-13h Final Presentations Project groups will present their final results George Padberg, route 924