Artificial Intelligence, Generative AI, and Data Science

Catalog description

This course will describe fundamental and advanced concepts of Artificial Intelligence (AI), Artificial General Intelligence (AGI), and Data Science (DS) with a focus on their applications pertinent to Biomedical Informatics. The following subjects will be covered: 1) Machine Learning (ML), Neural Networks (NN), Deep Learning (DL), and Reinforcement Learning (RL) as well as more in-depth concepts like AutoML, 1) Natural Language Processing (NLP), and Large Language Models (LLM) 2) Data Preparation, Processing, Analytics, Management, Engineering, Mesh, and Visualization as well as Exploratory Data Analysis (EDA) and Results Validation 3) Robotics, Imaging, Genomics, Transcriptomics, Proteomics, and Metabolomics Throughout the course, students will discuss real-world use cases (e.g. wearables) to learn how the different approaches can be implemented with a focus on Biomedical Informatics and Innovation. The course includes hands-on practical assignments, checkups, and discussions as well as project presentations at the course’s finale.