Florian Strobel

M.Sc.
Research Assistant

Contact

Florian Thorsten Lutz Strobel
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 22a,
21079 Hamburg
Building Harburger Schloßstraße 22a, Room 2.014
Phone: +49 40 42878 2750
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Research Project

DISEGO
Critical Components for Distributed and Secure Grid Operation

DISEGO

Critical Components for Distributed and Secure Grid Operation

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2025

Publications

TUHH Open Research (TORE)

2023

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Intelligent Systems in Medicine (GÜ)
Untertitel:
This course is part of the module: Intelligent Systems in Medicine
Semester:
WiSe 23/24
Veranstaltungstyp:
Übung (Lehre)
Veranstaltungsnummer:
lv333_w23
DozentIn:
Alexander Schlaefer
Beschreibung:

- methods for search, optimization,  planning,  classification, regression and prediction in a clinical context
- representation of medical knowledge
- understanding challenges due to clinical and patient related data and data acquisition
The students will work in groups to apply the methods introduced during the lecture using problem based learning.


Leistungsnachweis:
600 - Intelligent Systems in Medicine<ul><li>600 - Intelligent Systems in Medicine: Klausur schriftlich</li></ul><br>601 - Intelligent Systems in Medicine<ul><li>600 - Intelligent Systems in Medicine: Klausur schriftlich</li><li>800 - Intelligent Systems in Medicine - Written Essay: schriftliche Ausarbeitung</li><li>801 - Intelligent Systems in Medicine - Presentation: Presentation</li></ul>
ECTS-Kreditpunkte:
1
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Medizintechnische und Intelligente Systeme (E-1)
In Stud.IP angemeldete Teilnehmer: 56
Anzahl der Dokumente im Stud.IP-Downloadbereich: 10

Supervised Theses

ongoing
completed