Course Syllabus for

Data-driven Health
Datadriven hälsa

BMEN35F, 7.5 credits

Valid from: Autumn 2022
Decided by: Professor Thomas Johansson
Date of establishment: 2022-03-24

General Information

Division: Biomedical Engineering
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: BMEN35
Teaching language: English


The course provides basic knowledge in the field of artificial intelligence and machine learning for applications in medicine and health. The course covers the chain from medical databases via algorithms to regulations and requirements for diagnostic software.


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral student must

Course Contents

Areas covered are: - Introduction of artificial intelligence in healthcare applications - Overview of machine learning algorithms and methods - How to choose ML methods for different applications - How to select settings and optimize performance - How to evaluate performance - Regulatory, social, ethical and legal issues regarding artificial intelligence in medicine -State-of-the-art AI that is applied to important medical fields such as ECG, neurology, biomedical imaging, heart sound, oncology, diabetes, etc. Practical work: - Introduction to Python / Jupyter / Colab (basics, linear algebra, plotting) - Linear models - Measurement values and visualization - Trees and knn - Ensemble methods - Neural networks (shallow, MLP, introduction to Keras / Tensorflow) - Deep Neural Networks (CNN) - Deep Learning (LSTM / RNN)

Course Literature

Instruction Details

Types of instruction: Lectures, seminars, exercises

Examination Details

Examination format: Written exam. Computer assignments
Grading scale: Failed, pass

Admission Details

Course Occasion Information

Start date: 2022-07-01
Course pace: Full time

Application Information

Apply by email to Course Coordinator

Contact and Other Information

Course coordinators:

Web page:

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