Trends and Concepts in Digital Health (Sommersemester 2024)
Dozent:
Dr.-Ing. Matthieu-P. Schapranow
(Digital Health - Personalized Medicine)
Website zum Kurs:
https://hpi.de/digital-health-cluster/teaching/summer-term-2024/trends-and-concepts-in-digital-health.html
Allgemeine Information
- Semesterwochenstunden: 2
- ECTS: 3
- Benotet:
Ja
- Einschreibefrist: 01.04.2024-30.04.2024
- Prüfungszeitpunkt §9 (4) BAMA-O: 30.05.2024
- Lehrform: Seminar
- Belegungsart: Pflichtmodul
- Lehrsprache: Englisch
Studiengänge, Modulgruppen & Module
- Digital Health
- HPI-DH-DS Data Science for Digital Health
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-C Concepts and Methods
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-T Technologies and Tools
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
- DANA: Data Analytics
- HPI-DANA-K Konzepte und Methoden
- DANA: Data Analytics
- HPI-DANA-T Techniken und Werkzeuge
- CODS: Complex Data Systems
- HPI-CODS-K Konzepte und Methoden
- CODS: Complex Data Systems
- HPI-CODS-T Techniken und Werkzeuge
- DSYS: Data-Driven Systems
- HPI-DSYS-C Concepts and Methods
- DSYS: Data-Driven Systems
- HPI-DSYS-T Technologies and Tools
- MALA: Machine Learning and Analytics
- HPI-MALA-C Concepts and Methods
- MALA: Machine Learning and Analytics
- HPI-MALA-T Technologies and Tools
- ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-K Konzepte und Methoden
- ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-T Techniken und Werkzeuge
- SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-K Konzepte und Methoden
- SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-T Techniken und Werkzeuge
Beschreibung
Focus
The purpose of this seminar is to deepen your knowlegde on latest trends and concepts in Digital Health (DH). You will select your preferred topic from a list of available seminar topics presented during the course kick-off. The assigned topic defines the focus of your individual contribution throughout the remainder of the seminar. You will conduct research on the selected topic, acquire latest knowledge on the topic, evaluate and interprete latest state of the art, and share your results with your fellow students.
Your tutors will introduce selected concepts and tools you, which are relevant for your chosen seminar projects. You will acquire a deep knowledge on the selected course topic. Please bear in mind: Some of the used data sets might require you to either sign-up on a webpage, agree to follow data handling steps, sign a data use or confidentially agreement, or similar aspects. We will equip you with the required knowledge to conduct research on the selected topic and provide you access to additional materials for your chosen projects.
What we can expect from you
We expect you to:
- Deep-dive into the selected DH topic technology,
- Conduct research on related work in the specific field,
- Assess the current state of the art, and
- Evaluate the state of the art and share your results with your fellow students.
What you can expect from us
You can expect from us a continous coaching with regards to your select project topic throughout the whole semester, e.g. in regular appointments with your tutor. Furthermore, we will provide you guidance for improving your presentation and scientific writing skills. You will share your individual results in an intermediate and a final presentation with all participants. The presentation will help you to communicate your approach and intermediate results to others as well as to receive individual feedback on your approach and individual progress. Ultimately, you will document your findings in a scientific report at the end of the seminar.
Voraussetzungen
Please assess yourself: You should have a profound understanding of digital health topics, programming/development skills are not mandatory.
Leistungserfassung
The final grading will be determined by the following individual parts, each of them must be passed individually:
- Seminar results, i.e. intermediate + final presentation conducted during the seminar slots as well as research prototype (40%),
- Research article about your individual contribution submitted at the end of the seminar (40%), and
- Individual commitment throughout the seminar (20%).
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