Marwan Mostafa

M.Sc.
Research Assistant

Contact

Marwan Mostafa, M.Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung/ by appointment
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.015
Phone: +49 40 42878 4097
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Research Project

iNeP
Integrated network planning for the electricity, gas and heat sectors

iNeP

Integrated network planning for the electricity, gas and heat sectors

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2026

Publications

TUHH Open Research (TORE)

2023

2022

2021

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Constraint Satisfaction Problems (HÜ)
Untertitel:
This course is part of the module: Constraint Satisfaction Problems
Semester:
SoSe 24
Veranstaltungstyp:
Übung (Lehre)
Veranstaltungsnummer:
lv3003_s24
DozentIn:
Prof. Dr. Antoine Mottet
Beschreibung:
This course gives an introduction to the topic of constraint satisfaction problems and their complexity. It will cover the basics of the theory such as the universal-algebraic approach to constraint satisfaction and several classical algorithms such as local consistency checking and the Bulatov-Dalmau algorithm. We will finally discuss the recent research directions in the field.Educational Objectives: After taking part successfully, students have reached the following learning results Professional Competence:- Knowledge:* Students can describe basic concepts from the theory of constraint satisfaction such as primitive positive formulas, interpretations, polymorphisms, clones* Students can discuss the connections between these concepts* Students know proofs strategies and can reproduce them- Skills:* Students can use CSPs to model problems fromcomplexity theory and decide their complexity using methods from the course.
Leistungsnachweis:
m1812-2021 - Constraint Satisfaction Problems<ul><li>p1803-2021 - Constraint Satisfaction Problems: mündlich</li></ul>
ECTS-Kreditpunkte:
3
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Theoretische Informatik (E-EXK6)
In Stud.IP angemeldete Teilnehmer: 1

Supervised Theses

ongoing
completed

2022

  • Barthelme, J. (2022). Technisch-ökonomische Systemmodellierung und -anlayse eines urbanen Quatiers hinsichtlich des Einsatz von Wasserstoff als primärer Energieträger.