Update course-program.md

DIAGNijmegen · Sep 6, 2023 · f0092be · f0092be
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diff --git a/website-ai-for-health/content/pages/courses/ course-program.md b/website-ai-for-health/content/pages/courses/ course-program.md
@@ -28,38 +28,25 @@ Here you can find the course programs of the <a href="https://www.ai-for-health.
 <li>The course will end with a graduation ceremony where teams will present their project results and a certificate will be awarded.</li>
 </ul>
 
-<!---
+| 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 <br> for data science projects and start with understanding your data| George Padberg, route 924 | <a href="https://www.linkedin.com/in/joran-lokkerbol-7a68063/?originalSubdomain=nl">Joran Lokkerbol</a> |
+| 15-09-2023 | 13:30-17h | Machine Learning 1| Machine learning in Python | George Padberg, route 924 | <a href="https://www.linkedin.com/in/joran-lokkerbol-7a68063/?originalSubdomain=nl">Joran Lokkerbol</a> |
+| 22-09-2023 | 9-17h | Machine Learning 2| Learn the basic principles of machine Learning and <br> how to measure the Performance of machine learning models | George Padberg, route 924 | <a href="https://www.linkedin.com/in/joran-lokkerbol-7a68063/?originalSubdomain=nl">Joran Lokkerbol</a> |
+| 29-09-2023 | 9-17h | Machine Learning 3| A start is made to cover the most important supervised <br> machine learning algorithms and you will learn how to prepare your data | George Padberg, route 924 | <a href="https://www.linkedin.com/in/joran-lokkerbol-7a68063/?originalSubdomain=nl">Joran Lokkerbol</a> |
+| 06-10-2023 | 9-17h | Deep Learning 1| Understand how convolutional neural networks can be used <br> for medical image analysis | George Padberg, route 924 | <a href="https://www.diagnijmegen.nl/people/bram-van-ginneken/">Bram van Ginneken</a> |
+| 13-10-2023 | 9-17h | Deep Learning 2| Learn how to combine text, images and biomedical data for <br> better deep learning models | George Padberg, route 924 | <a href="https://www.diagnijmegen.nl/people/bram-van-ginneken/">Bram van Ginneken</a> |
+| 27-10-2023 | 9-17h | Deep Learning 3| Learn about Transformer models, ChatGPT | George Padberg, route 924 | <a href="https://www.diagnijmegen.nl/people/bram-van-ginneken/">Bram van Ginneken</a> |
+| 03-11-2023 | 9-17h | Data Engineering / AI Products | The FAIR principles of data management <br> are covered and learn how to choose a suitable AI producte | George Padberg, route 924 | <a href="https://www.radboudumc.nl/en/research/radboud-technology-centers/data-stewardship">RTC Data Stewardship</a>, <a href="https://www.diagnijmegen.nl/people/kicky-van-leeuwen/">Kicky van Leeuwen</a> |
+| 10-11-2023 | 9-17h | Project Day 1 | Defining project goals and understanding your data | George Padberg, route 924 | ----- |
+| 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 <br> and about AI applications in genetics | George Padberg, route 924 | <a href="https://www.radboudumc.nl/en/research/radboud-technology-centers/bioinformatics">RTC Bioinformatics</a>, <a href="https://www.ru.nl/personen/hiemstra-d">Djoerd Hiemstra</a>, <a href="https://www.diagnijmegen.nl/people/koen-dercksen/">Koen Dercksen</a> |
+| 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 | <a href="https://www.statstories.nl/">Lonneke Opsteegh</a> |
+| 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 | <a href="https://www.iqhealthcare.nl/nl/over-ons/onze-mensen/staf/profdr-marianne-boenink/">Marianne Boenink</a>, <a href="https://nl.linkedin.com/in/leonhaszing">Leon Haszing</a>, <a href="https://www.diagnijmegen.nl/people/bram-van-ginneken/">Bram van Ginneken</a>, <a href="https://nl.linkedin.com/in/egelderblom">Erik Gelderblom</a>, <a href="https://www.linkedin.com/in/mark-van-grinsven">Mark van Grinsven</a>|
+| 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 | ----- |
 
-- The course will be held on 18 Fridays, with different topics per day, starting in Q1 2022.
-- The course days consist of lectures in the morning and afternoon practicals with cases focused on Radboudumc practice.
-- The program for the 18 Fridays will mostly be held at Radboudumc in Nijmegen and a few times at JADS in Den Bosch.
-- The course includes 4 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 of the current edition can be seen below.
-
-| Date | Time | Topic | Content | Location |
-| ----- | ------- | ------| ------ | ------ |
-| 03-02-2023 | 9-17h | Introduction + Machine Learning 1| How is AI changing healthcare? How to run an AI project? Follow the CRIPS-DM model <br> for data science projects and start with understanding your data| George Padberg, route 924 |
-| 10-02-2023 | 13:30-17h | Machine Learning 1| Machine learning in Python | George Padberg, route 924 |
-| 17-02-2023 | 9-17h | Machine Learning 2| Learn the basic principles of machine Learning and <br> how to measure the Performance of machine learning models | George Padberg, route 924 |
-| 03-03-2023 | 9-17h | Machine Learning 3| A start is made to cover the most important supervised <br> machine learning algorithms and you will learn how to prepare your data | George Padberg, route 924 |
-| 17-03-2023 | 9-17h | Machine Learning 4| You will learn about unsupervised machine learning models <br>for data without any labels and learn how to Evaluate your models| George Padberg, route 924 |
-| 24-03-2023 | 9-17h | Deep Learning 1| Understand how convolutional neural networks can be used <br> for medical image analysis | George Padberg, route 924 |
-| 31-03-2023 | 9-17h | Deep Learning 2| Learn how to combine text, images and biomedical data for <br> better deep learning models | George Padberg, route 924 |
-| 14-04-2023 | 9-17h | Project Day 1 | Defining project goals and understanding your data | George Padberg, route 924 |
-| 21-04-2023 | 9-17h | Data Engineering / AI Products | The FAIR principles of data management <br> are covered and learn how to choose a suitable AI producte | George Padberg, route 924 |
-| 28-04-2023 | 9-17h | Project Day 2 | Data preparation and model development | George Padberg, route 924 |
-| 12-05-2023 | 9-17h | Text Mining & Bioinformatics | Learn how to get valuable insights from medical records <br> and about AI applications in genetics | George Padberg, route 924 |
-| 26-05-2023 | 9-17h | Project Day 3 | Model optimization and result visualisation | George Padberg, route 924 |
-| 02-06-2023 | 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 |
-| 09-06-2023 | 9-17h | Project Day 4 | Evaluating model performance | George Padberg, route 924 |
-| 16-06-2023 | 9-17h | Project Day 5 | Evaluating model performance | George Padberg, route 924 |
-| 23-06-2023 | 9-13h | Final Presentations | Project groups will present their final results | George Padberg, route 924 |
--->
 ## Light track program
 
 <ul>
@@ -71,25 +58,27 @@ An overview of the in-depth track schedule of the current edition can be seen be
 <li>There will be an online training environment with support documentation, discussion forum and blended learning.</li>
 <li>The course will end with a graduation ceremony where project teams will present their project results and a certificate will be awarded.</li>
 </ul>
-<!---
+
 An overview of the short track schedule of the current edition can be seen below.
 
 | Date | Time | Topic | Content | Location |
 | ----- | ------- | ------| ------ | ------ |
-| 03-02-2023 | 9-17h | Introduction + Machine Learning 1| How is AI changing healthcare? How to run an AI project? Follow the CRIPS-DM model <br> for data science projects and start with understanding your data| George Padberg, route 924 |
-| 17-02-2023 | 9-13h | Machine Learning 2| Learn the basic principles of machine learning and <br> how to measure the Performance of machine learning models | George Padberg, route 924 |
-| 24-03-2023 | 9-13h | Deep Learning 1| Understand how convolutional neural networks can be used <br> for medical image analysis | George Padberg, route 924 |
-| 31-03-2023 | 9-13h | Deep Learning 2| Learn how to combine text, images and niomedical data for <br> better deep learning models | George Padberg, route 924 |
-| 14-04-2023 | 9-17h | Project Day 1 | Defining project goals and understanding your data | George Padberg, route 924 |
-| 21-04-2023 | 13-17h | AI products | Learn how to choose a suitable AI product | George Padberg, route 924 |
-| 28-04-2023 | 9-17h | Project Day 2 | Data preparation and model development | George Padberg, route 924 |
-| 12-05-2023 | 9-13h | Text Miniing and Bioinformatics | Learn how to get valuable insights from medical records <br> and about AI applications in genetics | George Padberg, route 924 |
-| 26-05-2023 | 9-17h | Project Day 3 | Model optimization and result visualisation | George Padberg, route 924 |
-| 02-06-2023 | 9-13h | Ethics & Privacy | Ethical and privacy concerns regarding the use of AI are discussed | George Padberg, route 924 |
-| 09-06-2023 | 9-17h | Project Day 4 | Evaluating model performance | George Padberg, route 924 |
-| 16-06-2023 | 9-17h | Project Day 5 | Evaluating model performance | George Padberg, route 924 |
-| 23-06-2023 | 9-13h | Final Presentations | Project groups will present their final results | George Padberg, route 924 |
--->
+| 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 <br> 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 <br> 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 <br> for medical image analysis | George Padberg, route 924 |
+| 13-10-2023 | 9-13h | Deep Learning 2| Learn how to combine text, images and niomedical data for <br> better deep learning models | George Padberg, route 924 |
+| 27-10-2023 | 9-17h | Deep Learning 3| Learn about Transformer models, ChatGPT | George Padberg, route 924 | <a href="https://www.diagnijmegen.nl/people/bram-van-ginneken/">Bram van Ginneken</a> |
+| 03-11-2023 | 13-17h | AI products | Learn how to choose a suitable AI product | George Padberg, route 924 |
+| 10-11-2023 | 9-17h | Project Day 1 | Defining project goals and understanding your data | George Padberg, route 924 |
+| 17-11-2023 | 9-17h | Project Day 2 | 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 <br> 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 |
+| 12-01-2023 | 9-13h | Final Presentations | Project groups will present their final results | George Padberg, route 924 |
+
+
 <!-- ## Teachers
 
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