This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project. The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.
What you'll learn
understanding deep learning techniques
applying deep learning to healthcare data
developing practical deep learning models
executing a comprehensive project on healthcare problems
Course objectives
to familiarize students with deep learning applications in healthcare
to provide hands-on experience through labs and assignments
to encourage the development of projects that could lead to scientific contributions