Course Schedule and Catalog

Long Title: LEARNING AND ALGORITHMS FOR COMPUTATIONAL MEDICINE

Department: Computer Science

Grade Mode: Standard Letter

Language of Instruction: Taught in English

Course Type: Seminar

Credit Hours: 3

Description: Hospitals continuously collect vast and ever increasing volumes of medical data. This data provided unique opportunities that could improve human health, detect diseases in early stages, and develop personalized treatments. This creates a rapidly changing field of computational medicine with a plethora of algorithms and machine learning methods as well as new and exciting research challenges. In this class we aim to study some of the most advanced methods for computational medicine and look at these challenges from a machine learning and algorithms perspective. We will focus on novel and unique challenges of computational medicine such as privacy, fairness, efficiency, explainability, generalization, learning from multiple modalities, federated learning and analytics, continual learning and so on. The course will specifically focus on methods with provable guarantees such as differential privacy, convergence analysis, algorithmic fairness and so on. Recommended Prerequisite(s): COMP 582