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Enhance understanding of the mathematics and computer science behind artificial intelligence (AI) among high school students and teachers

Our primary goal is to enhance understanding of the mathematics and computer science behind artificial intelligence (AI) among high school students and teachers. We will develop material that teachers can use in math, computer science and NLT courses at their own school. Next to this, we will develop a related teacher training which will take place at various universities. The content focuses on AI in medical image analysis: a highly engaging topic due to its importance in society and its ethical components. We aim to reach students through math, computer science or NLT courses so that they can learn how different subjects contribute to AI.

The University of Amsterdam (UvA) has developed an initial syllabus covering the mathematics behind AI, including critical topics such as gradient descent and backward propagation. However, it lacks the computer science and application aspect. This project will extend this material to create comprehensive lesson material that can be used at high schools, integrating into mathematics, computer science and/or NLT and O&O classes. We will both extend the range of topics, as well as the scope of the existing topics to include the computer science and application perspective.

Through this material, students can learn about algorithms, matrices, convolutional neural networks, and more advanced topics in math classes. They can engage in hands-on programming exercises in computer science or NLT or O&O classes. These programming exercises will also highlight the importance of AI in real-world applications, for example in the medical domain. Can students build an image recognition algorithm that recognizes pneumonia on CT scans? We strongly believe that including these topics can create enthusiasm among students for technology.