Applied Machine Learning for Digital Health (Sommersemester 2019)

Dozent: Dr.-Ing. Matthieu-P. Schapranow (Digital Health - Personalized Medicine) , M.Sc. Florian Borchert (Digital Health - Personalized Medicine)
Website zum Kurs: https://hpi.de/digital-health-cluster/teaching/archive/summer-term-2019/applied-machine-learning-for-digital-health.html

Allgemeine Information

Semesterwochenstunden: 2
ECTS: 3
Benotet: Ja
Einschreibefrist: 01.04.2019 bis 26.04.2019
Lehrform: Vorlesung / Seminar
Belegungsart: Wahlpflichtmodul
Lehrsprache: Englisch

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA

SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-S Spezialisierung
ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-S Spezialisierung
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge

Digital Health MA

DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization

Data Engineering MA

DATA: Data Analytics
- HPI-DATA-T Techniken und Werkzeuge
DATA: Data Analytics
- HPI-DATA-S Spezialisierung
CODS: Complex Data Systems
- HPI-CODS-T Techniken und Werkzeuge
CODS: Complex Data Systems
- HPI-CODS-S Spezialisierung

Leistungserfassung

Intermediate presentation, final presentation (40%)
Research article (40%)
Individual commitment (20%)

Termine

Wednesdays, 13:30h-15h

HS3

Zurück