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Lecture: 01-ET-MA-DDLA Architectures and Design - Methods for Deep-Learning Acceleration - Details

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General information

Course name	Lecture: 01-ET-MA-DDLA Architectures and Design - Methods for Deep-Learning Acceleration
Subtitle
Course number	01-ET-MA-DDLA
Semester	SoSe 2025
Current number of participants	53
Home institute	Elektrotechnik
Courses type	Lecture in category Teaching
First date	Monday, 07.04.2025 16:00 - 18:00, Room: NW1 H 3 - W0040/W0050
Type/Form
Englischsprachige Veranstaltung	Nein

Lecturers

Tutor

Nithya Raj

Rooms and times

NW1 H 3 - W0040/W0050: Monday: 16:00 - 18:00, weekly (12x)
NW1 H 1 - H0020: Tuesday, 23.09.2025 14:00 - 16:00
NW1 H 2 - W0020: Monday, 16.03.2026 10:00 - 12:00

Module assignments

Universität Bremen
- Elektrotechnik und Informationstechnik - Elektrotechnik und Informationstechnik (MPO v. 22.04.2020), 4. Version WiSe 2024/2025 - WiSe 2025/2026
  - Wahlmodule
    - 01-ET-MA-DDLA - Architectures and Design-Methods for Deep-Learning Acceleration (valid from WiSe 2024/2025)
      - Lecture (Architectures and Design-Methods for Deep-Learning Acceleration)
- Communication and Information Technology - Communication and Information Technology (MPO v. 04.12.2019), 4. Version WiSe 2024/2025 - WiSe 2025/2026
  - CIT Elective Modules
    - 01-ET-MA-DDLA - Architectures and Design-Methods for Deep-Learning Acceleration (valid from WiSe 2024/2025)
      - Lecture (Architectures and Design-Methods for Deep-Learning Acceleration)
- Control, Microsystems, Microelectronics - Control, Microsystems and Microelectronics (MPO v. 04.12.2019), 4. Version WiSe 2024/2025 - WiSe 2025/2026
  - CMM Elective Modules
    - 01-ET-MA-DDLA - Architectures and Design-Methods for Deep-Learning Acceleration (valid from WiSe 2024/2025)
      - Lecture (Architectures and Design-Methods for Deep-Learning Acceleration)

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.