The course selection of the class 2021-2022 is presented below. Detailed course content descriptions are linked to the course names. UEF academic calendar and study periods are described here. The students should pay attention to both of these descriptions when planning their studies.
Obligatory theoretical courses take up 13 ECTS of the studies. These courses include topics like general study skills and basics in programming. Practical skills are gained by completing an internship in an EMC-field-related position. The students will receive 30 ECTS from this work.
|University Study Skills||I||1||Beginner||UEF|
|Client-Oriented Social and Health Care Services||I-IV||5||Beginner||Savonia|
|Introduction to R||I-IV||2||Beginner||UEF|
|EMC: Webinars in Medical Computing||I-IV||5||Beginner||EMC program|
|Internship (incl. final report)||III-IV||30||Beginner – Advanced||EMC program|
Elective Courses (Choose for 17 ECTS)
The purpose of the elective courses is to deepen the students’ medical computing know-how. The students should select 17 ECTS from the list below based on their interests and employment needs.
|Medical Device Approval Process (includes Fundamentals of Medical Device Approval Process)||I||5||Intermediate||UEF|
|Being an Agile Leader||I-IV||5||Intermediate||Savonia|
|Big Data and IoT for Digital Health||I-IV||5||Intermediate||Savonia|
|Business Intelligence (BI)||I-IV||5||Beginner||Savonia|
|Data Preprocessing and Analysis||I-IV||5||Intermediate||Savonia|
|Introduction to Python||I-IV||5||Beginner||UEF|
|Leadership, Management and Innovations in Business Development||I-IV||5||Beginner||Savonia|
|Medical Imaging and Digital Image Processing||I-IV||5||Intermediate||Savonia|
|EMC: Perspectives in Medical Computing||I-IV||1||Beginner||EMC program|
|Advanced Deep Learning||II||5||Advanced||UEF|
|Advanced Spectral Imaging||II||4||Advanced||UEF|
|Introduction to Extended Reality (XR) and Virtual Technologies||II-IV||5||Beginner||Savonia|
|Advanced Course in Human-Computer Interaction||III||5||Intermediate||UEF|
|Machine Learning for Speech||IV||5||Advanced||UEF|
|Social Network Analysis||IV||5||Intermediate||UEF|