Data-driven healthcare

4 credits

Who is this course for?​

This course is designed for students with a background in computer science who want to gain additional skills in applying data analytics techniques in the healthcare domain.

What will you learn from this course?

You will learn the concepts and techniques for framing the healthcare problems using a data-driven approach and gain practice analyzing a set of real-world healthcare-related data using machine learning methods.

What is the format for this course?

Instruction type: The lectures, announcements, and assignments of this course will be fully online via a learning management system and presented in English. Each lecture is delivered through a video conference tool with a set of presentation slides displayed online during each class session. Online practical labs are also provided in the lectures.

Frequency: The course is broken down into four lectures presented biweekly in two months.

Examination: Exams will consist of a written examination and a project presented by students. The overall grades of Fail/Pass will be awarded for this course.

Course responsible:

Enayat Rajabi

Email: enayat.rajabi [AT] hh [DOT] se