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Artificial Intelligence for Healthcare Data

Summer School of Software Engineering, 5 ECTS

Institution University of Southern Denmark (SDU)
Campus Odense
Duration 2 weeks
Tuition per term (Non-EU/EAA/CH) 1160 EUR
Tuition per term (EU/EAA/CH) 570 EUR
Every day, a massive amount of patient data is generated and recorded on a global scale. Artificial Intelligence (AI) has the power to automatically process all this complex data and use it to improve the accuracy and quality of healthcare services, and to generate innovative solutions in this sector. It can therefore be used in a variety of settings and disease conditions for e.g., the improvement of diagnosis and treatment decisions, prediction of clinical outcomes, patient monitoring and development of medical devices. This course will introduce students to the fundamentals and applications of AI in the healthcare environment, by offering the chance of working with different types of health data, such as structured patient journals, medical imaging results, and time-series. Techniques used to handle health data, as well as selective AI algorithms suited for the problems, will be explored across real-life challenges within the healthcare setting. Focus will be given to supervised machine learning algorithms, e.g. classification, regression.

Mandatory prerequisites:
Completion of minimum two years of a related engineering programme, this also includes Computer Science and Data Science.

Recommended prerequisites:
The students should have some rudimentary knowledge in programming and have passed an introductory course in statistics and mathematics (or equivalent). 

Exchange students from a partner university pay no tuition.
Guest students pay tuition fees. Please read more:

For Further Information:
Information from the Danish Agency for Higher Education can be located at You will find information about the Danish assessment of foreign qualifications in Guide to diploma recognition. About the Educational System in general, visit the section The Danish Higher Education System.

Summer School 2023

Application date
May 01
Start date
Aug 07



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