SYSEN 5650
Programming Essentials for Health AI and Data Science
The course “Programming Essentials for Health AI and Data Science” is designed for advanced students and clinicians seeking to develop programming expertise in healthcare applications. This course provides hands-on experience with Python, Pytorch, data science/machine learning libraries, LLM and agents techniques, focusing on real-world health data, including EHRs, medical imaging, and clinical text. Participants will explore AI models for disease prediction, causal inference, and natural language processing etc. The course emphasizes practical implementation, from preprocessing messy health data to deploying AI models in clinical settings. Capstone projects will apply AI to real-world health challenges.
Topics
- Demonstrate the ability to preprocess, clean, analyze, and visualize real-world health datasets, including EHRs, medical imaging, and clinical text, using Python and data science libraries.
- Identify and utilize appropriate Python/PyTorch development environments, tools, and libraries for implementing machine learning and deep learning techniques. These methods will be applied to health-related challenges such as disease prediction, computational phenotyping, effect estimation, classification, clustering, predictive modeling, and causal inference.
- Demonstrate essential programming skills for advanced studies in fields like AI/ML in medicine, and NLP for healthcare, among others.
Official roster learning outcomes
Sources
- Course catalogue ↗2026-2027