13963 - Neuromorphic Computing and Engineering Modulübersicht

Module Number: 13963
Module Title:Neuromorphic Computing and Engineering
  Neuromorphes Rechnen und Technologie
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr. rer. nat. habil. Wenger, Christian
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: On special announcement
Credits: 6
Learning Outcome:After successfully completing the module, students will have understand the principles of biological computation. They will know how to implement them in hardware. They will have basic skills in applying  neuromorphic engineering.
Contents:Neuromorphic computing is an approach which is inspired by the structure and function of human brains. Neuromorphic computers are based on Silicon devices which use physical artificial neurons and synapses to apply computations. In recent times, the term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems. The implementation of neuromorphic computing on the hardware level can be realized by oxide-based resistive or ferro-electric memristors.

The lecture presents the principles of biological computation and their implementation in hardware. Basic building blocks of neuromorphic technology are presented.  The implications for the development of novel information processing technologies are outlined.
Recommended Prerequisites:
  • Basic knowledge in physics
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Self organised studies / 150 Hours
Teaching Materials and Literature:Will be announced in the first lecture.
Module Examination:Final Module Examination (MAP)
Assessment Mode for Module Examination:
  • Oral examination, 30-45 min.
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:40
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022
  • Master (research-oriented) / Künstliche Intelligenz Technologie / PO 2022
  • Master (research-oriented) / Micro- and Nanoelectronics / PO 2024
  • Master (research-oriented) / Physics / PO 2021
  • Study programme Physics M.Sc.: Compulsory elective module in complex „Minor Subject“
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex  „Knowledge Acquisition, Representation, and Processing“
  • Study programme Künstliche Intelligenz Technologie M.Sc.: Compulsory elective module in complex „Hardware-basierte Systeme: Elektrotechnik, Informationstechnik und Sensorik“
Module Components:
  • Lecture: Neuromorphic Computing and Engineering
  • Accompanying exercise
  • Related examination
Components to be offered in the Current Semester: