Emblem of the Republic of Poland Uniwersytet Jagielloński - Collegium Medicum
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Future Technologies with Clinical Applications

2025/26, postgraduate, full-time

Basic information

Faculty name: Medical Postgraduate Education Centre, Centre for Postgraduate Education at the Faculty of Medicine
Major name: Future Technologies with Clinical Applications
Level: postgraduate
Form: full-time
Language of study: polish

Programme

ISCED classification: 0914
Number of semesters: 2
Subject Number of hours ECTS points Form of verification Mandatory Block
Standaryzacja analizy medycznych danych źródłowych
workshop : 10 h
e-learning lecture : 3 h
ECTS points: 3
Form of verification: credit
Block: obligatory for passing in the course of studies
 workshop: 10
e-learning lecture: 3
 3 credit O Os
Tworzenie i optymalizacja modeli 3D
workshop : 10 h
ECTS points: 2
Form of verification: credit
Block: obligatory for passing in the course of studies
 workshop: 10
 2 credit O Os
Tworzenie aplikacji w rozszerzonej rzeczywistości, technologie immersyjne na potrzeby medyczne
workshop : 16 h
ECTS points: 3
Form of verification: credit
Block: obligatory for passing in the course of studies
 workshop: 16
 3 credit O Os
Nanotechnologia w medycynie z elementami wizualizacji 3D
e-learning classes : 8 h
workshop : 4 h
e-learning lecture : 4 h
ECTS points: 3
Form of verification: credit
Block: obligatory for passing in the course of studies
 e-learning classes: 8
workshop: 4
e-learning lecture: 4
 3 credit O Os
Rejestrowanie obrazu medycznego 3D i jego analiza
workshop : 10 h
ECTS points: 2
Form of verification: credit
Block: obligatory for passing in the course of studies
 workshop: 10
 2 credit O Os
Zaawansowane obrazowanie 3D na przykładzie anatomii mózgu
workshop : 12 h
lecture : 2 h
ECTS points: 2
Form of verification: credit
Block: obligatory for passing in the course of studies
 workshop: 12
lecture: 2
 2 credit O Os
Wykorzystywanie środowiska Python w medycynie
e-learning classes : 6 h
workshop : 8 h
ECTS points: 3
Form of verification: credit
Block: obligatory for passing in the course of studies
 e-learning classes: 6
workshop: 8
 3 credit O Os
Zastosowanie sztucznej inteligencji w medycynie z użyciem języka Python oraz bezpieczeństwo danych
e-learning classes : 20 h
e-learning lecture : 11 h
ECTS points: 4
Form of verification: credit
Block: obligatory for passing in the course of studies
 e-learning classes: 20
e-learning lecture: 11
 4 credit O Os
Etyka sztucznej inteligencji i metaverse
e-learning lecture : 8 h
ECTS points: 2
Form of verification: credit
Block: obligatory for passing in the course of studies
 e-learning lecture: 8
 2 credit O Os
Funkcjonalne obrazowanie zastosowane w diagnostyce klinicznej
e-learning classes : 4 h
e-learning lecture : 2 h
workshop : 8 h
ECTS points: 3
Form of verification: credit
Block: obligatory for passing in the course of studies
 e-learning classes: 4
e-learning lecture: 2
workshop: 8
 3 credit O Os
Telemedycyna na przykładzie diabetologii
e-learning classes : 7 h
lecture : 2 h
workshop : 5 h
ECTS points: 3
Form of verification: credit
Block: obligatory for passing in the course of studies
 e-learning classes: 7
lecture: 2
workshop: 5
 3 credit O Os