AI in Biomedicine

This course is intended to provide biomedical engineering students with a basic understanding of the foundations of artificial intelligence (AI) and introduce them to the current AI landscape and a spectrum of biomedical applications that can benefit from AI. The course will start with a rigorous mathematical introduction that will review essential knowledge in linear algebra and statistics and familiarize students with the basics of statistical estimation and numerical optimization. It will then cover classical machine learning techniques before moving on to a range of topics in deep learning, including multilayer perceptrons, convolutional neural networks, recurrent neural networks, generative adversarial networks, transformers, large-language models and other foundational models.