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Courses in Stud.IP

current semester
link to course in Stud.IP Studip_icon
Architectures and Algorithms for Deep-Learning Acceleration
Semester:
WiSe 23/24
Course type:
Lecture
Lecturer:
Prof. Dr.-Ing. Görschwin Fey, M. Sc. Lutz Schammer, Dr. Lennart Bamberg
Description:
Teaching Person: Dr. Lennart Bamberg (NXP Semiconductors, Hamburg) Dr. Bamber is a Senior Principal AI/ML Architect at NXP Semiconductors in Hamburg, Germany. He is involved in research and design of the most recent architectures for accelerating machine learning applications. Content: Students get a first-hand insight into most recent architectures and advances for hardware acceleration in machine learning. Without such acceleration, newest developments would not be affordable as standard hardware is too power-hungry and does not deliver the computational performance needed.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Stud.IP informationen about this course:
Home institute: Institut für Eingebettete Systeme (E-13)
Registered participants in Stud.IP: 79
Documents: 12
former semester
link to course in Stud.IP Studip_icon
Architectures and Algorithms for Deep-Learning Acceleration
Semester:
WiSe 23/24
Course type:
Lecture
Lecturer:
Prof. Dr.-Ing. Görschwin Fey, M. Sc. Lutz Schammer, Dr. Lennart Bamberg
Description:
Teaching Person: Dr. Lennart Bamberg (NXP Semiconductors, Hamburg) Dr. Bamber is a Senior Principal AI/ML Architect at NXP Semiconductors in Hamburg, Germany. He is involved in research and design of the most recent architectures for accelerating machine learning applications. Content: Students get a first-hand insight into most recent architectures and advances for hardware acceleration in machine learning. Without such acceleration, newest developments would not be affordable as standard hardware is too power-hungry and does not deliver the computational performance needed.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Stud.IP informationen about this course:
Home institute: Institut für Eingebettete Systeme (E-13)
Registered participants in Stud.IP: 79
Documents: 12

Courses

For information on courses and modules, please refer to the current course catalogue and module manual of your degree programme.

Module / Course Period ECTS Credit Points
Module: Electrical Power Systems I: Introduction to Electrical Power Systems WiSe 6
Module: Electrical Power Systems II: Operation and Information Systems of Electrical Power Grids WiSe 6
Module: Electrical Power Systems III: Dynamics and Stability of Electrical Power Systems SuSe 6
Module: Electrical Engineering II: Alternating Current Networks and Basic Devices SuSe 6
Module: Electrical Engineering Project Laboratory SuSe 6
Module: Process Measurement Engineering SuSe 4
Module: Smart Grid Technologies WiSe, SuSe 6

Course: Seminar on Electromagnetic Compatibility and Electrical Power Systems

Further Information

 WiSe, SuSe 2

SuSe: Summer Semester
WiSe: Winter Semester

TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 36
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
Fax : +49 40 42878 2382
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