Martin Luther University Halle-Wittenberg

Further settings

Login for editors

Berit Schreck, M.Sc.

Contact

Berit Schreck

room 412
Von-Seckendorff-Platz 1
06120 Halle (Saale)

phone: ++49-345-55-24747
berit.schreck_AT_informatik.uni-halle.de

ResearchGate: https://www.researchgate.net/profile/Berit_Schreck   

postal address:
Berit Schreck, M.Sc.
06099 Halle/Saale

CV

Academic Education

10/2013 – 11/2016Studies of Computer Science, Martin Luther University, Halle-Wittenberg,
Bachelor's thesis : Nestedness in Plant-Pollinator Networks,
Degree: Bachelor of Science Computer Science (B. Sc. CS).
02/2016 – 07/2016Erasmus exchange semester, Technical University, Vienna, Austria,
Course of studies: Technical Informatics.
10/2013 – 11/2015Studies of Physics, Martin Luther University, Halle-Wittenberg,
Master's thesis: Software-basierte Analyse von aperiodischen Oberflächenstrukturen
Degree: Master of Science Physics (M. Sc. Phy.).
10/2009 – 07/2013Studies of Physics, Martin Luther University, Halle-Wittenberg,
Bachelor's thesis: Rekonstruktion komplexer Netzwerke mittels Kreuzkorrelationsmethode,
Degree: Bachelor of Science Physics (B. Sc. Phy.).

Professional/Work Experience

since 07/2018Research Assistant,
PhD at the Institute of Computer Science,
Research Group Pattern Recognition & Bioinformatics
(Prof. Dr.-Ing. Stefan Posch),
Martin Luther University, Halle-Wittenberg.
02/2018 – 06/2018Java Developer, Webdata Solutions GmbH, Leipzig.
11/2016 – 01/2018Junior Java Developer, Webdata Solutions GmbH, Leipzig.
09/2012 – 03/2016Student assistant, Martin Luther University, Halle-Wittenberg,
(with time interuptions, for different taks).

Teaching

Wintersemester 2018/2019

Sommersemester 2019

Sommersemester 2020

Algorithmen auf Sequenzen I, Übung (Di. 10-12 Uhr)

Musterklassifikation, Übung (Fr. 8-10 Uhr)

Wintersemester 2020/2021

Einführung in die Bildverarbeitung, Übung 1

Einführung in die Bildverarbeitung, Übung 2

Gestaltung und Durchführung von Fachvorträgen in der Informatik: Auf dem Weg zur KI? - Maschinelles Lernen in der Bildanalyse

Up