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TUHH > Schools > Electrical Engineering, Computer Science and Mathematics

School of Electrical Engineering, Computer Science and Mathematics

The School of Electrical Engineering, Computer Science and Mathematics (EIM) is characterised by its interdisciplinarity with 3 subject areas, which is unique in the TUHH. The focus is on the following areas: Energy Technology, Microelectronics & Sensors, Cyber-Physical Systems, Data Science, Machine Learning, Medical Technology, Modelling, Simulation & Optimisation, Computer Science Engineering, Technomathematics.

Institutes

26

Professors

33

Scientific Staff

~250

Students

>1500  (>1000 Bachelor)

 

Head of School of Study
Committees and offices

News

News Archive
12.04.2023
Future Lecture & EIM Colloquium
In the context of the EIM Colloquium and the Future Lectures, we are pleased to to announce: Inaugural Lecture "Quantum Computing - Goals and Facts" Prof. Martin Kliesch With the participation of: Frank Fehlau, Fujitsu Christian Wiebus, NXP Semiconductors
14.03.2023
Congratulations
Denise-Phi Kuu receives the KuVS Award 2022 for her bachelor thesis "Data Poisoning Detection in Federated Learning" (Institute of Data Engineering, Prof. Schulte and Dr. Schallmoser). The prize will be officially awarded at NetSys next September in Potsdam.
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26.02.2023
Congratulations
Ikrom Akramov (E-10), took first place with his teammates at the SIAM Conference on Computational Science and Engineering hackathon in Amsterdam on Feb. 25-26. The team developed an algorithm to control autonomous robots in a shipping center based on traffic circles.
06.03.2023
GI-Theorietag 2023
84th Workshop on Algorithms and Complexity
25.01.2023
Woran forscht denn das "Institut für Data Engineering"?
Prof. S. Schulte, Dr. Schallmoser Ringvorlesung für Studierende Zoom-Meeting
23.01.2023
Woran forscht denn das "Institut für Softwaresysteme?"
Prof. S. Schupp Ringvorlesung für Studierende Zoom-Meeting
18.01.2023
Woran forscht denn das "Institut für Hochfrequenztechnik?"
Prof. A. Kölpin Ringvorlesung für Studierende Denickestraße 22i,Raum 0051
17.01.2023
Woran forscht denn das "Institut für Medizintechnische und Intelligente Systeme?"
Prof. A. Schlaefer Ringvorlesung für Studierende Am Schwarzenberg-Campus 3 (E), Raum 1.050
16.01.2023
Woran forscht denn das "Institut für Mikrosystemtechnik?"
Prof. K. Trieu Ringvorlesung für Studierende Hörsaal M-1582 mit anschließender Laborführung
11.01.2023
Woran forscht denn das "Institut für Autonome Cyber-Physische Systeme?"
Prof. C. Renner Ringvorlesung für Studierende Harburger Schloßstraße 28/CH4
10.01.2023
Woran forscht denn das "Institut für Eingebettete Systeme?"
Prof. Falk, Prof. Fey Ringvorlesung für Studierende Hybrid: Präsenz E3.032, ONLINE Zoom
09.01.2023
Woran forscht denn das "Institut für Elektrische Energietechnik?"
Prof. C. Becker Ringvorlesung für Studierende Harburger Schloßstraße 36
16.12.2022
Woran forscht denn das "Institut für Theoretische Elektrotechnik?"
Prof. Schuster Ringvorlesung für Studierende Blohmstr. 15, 2.OG
05.12.2022
Woran forscht denn das "Institut für Kommunikationsnetze?"
Prof. Andreas Timm-Giel Ringvorlesung für Studierende ONLINE Zoom-Meeting
01.12.2022
Woran forscht denn das "Institut für Algorithmen und Komplexität?"
Prof. Matthias Mnich Ringvorlesung für Studierende ONLINE Zoom-Meeting
01.11.2023
Prof. Dr. Martin Kliesch, Quantum Inspired and Quantum Optimization (E-25)
Wir begrüßen Prof. Dr. Kliesch am Studiendekanat EIM und freuen uns auf eine erfolgreiche Zusammenarbeit! Foto: HHU/C. Kawan
27.10.2022
DLR vergibt Aufträge für Quantencomputer mit einem Gesamtvolumen von 208,5 Millionen Euro
Großer Erfolg für Hamburg: In Hamburg entwickeln die TU Hamburg, Unternehmen und Start-ups Quantencomputer auf Basis von Ionenfallen
21.10.2022
EIM-Kolloquium und Antrittvorlesung Prof. Sohan Lal
Antrittsvorlesung "A Perspective on Performance, Power and Energy Efficiency of GPUs" Prof. Sohan Lal, Massively Parallel Systems, TUGG "Portable Heterogenous Programming for the Computing Continuum" Prof. Biago Cosenza, University of Salerno
10.10.2022
Maschinelles Lernen
News Archive

Teaching

The School EIM offers 5 undergraduate Bachelor's degree programs and 6 Master's degree programs (3 of which are international). Teaching focuses on the following areas: Analog and Digital Microelectronics & Sensors, Data Science & Machine Learning, Computer Science & Engineering, and Technomathematics.

Study programs

Research

Research in the School of EIM includes Energy Engineering, Cyber-Physical Systems, Data Science, Medical Engineering, and Modeling, Simulation & Optimization.

Research and institutes

International matters

Students have numerous opportunities to spend time abroad at one of our partner universities. You can find more information on the page of the Erasmus representative of our dean's office.

ERASMUS and International

Offers for Schools

The School of EIM offers numerous opportunities for pupils, especially in the field of mathematics.

Go to website
TU Hamburg
Hamburg University
of Technology
Am Schwarzenberg-Campus 1
21073 Hamburg
E-mail: pressestelle(at)tuhh.de

Requests regarding study programs, admission and application, please mail to : study(at)tuhh.de
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