Teaching

Teaching

Summer term 2022

Seminar where recent computational neuroscience papers are presented and discussed.

Alexander Ecker, Laura Pede, Michaela Vystrčilová, Suhas Shrinivasan

Practical course on applying deep learning for image generation.

Alexander Ecker and Timo Lüddecke

Introduction to Machine Learning

Alexander Ecker

Winter term 2021/2022

Seminar where recent deep learning papers are presented and discussed.

Alexander Ecker, Laura Pede, Richard Vogg and Timo Lüddecke

Introduction to Deep Learning with a focus on image recognition

Alexander Ecker, Max Burg, Laura Pede

Winter term 2021/2022

Seminar where recent deep learning papers are presented and discussed.

Alexander Ecker, Laura Pede, Richard Vogg and Timo Lüddecke

Introduction to Deep Learning with a focus on image recognition

Alexander Ecker, Max Burg, Laura Pede

Summer term 2021

Introduction to Machine Learning

Alexander Ecker

Bachelor’s and Master’s theses

General requirements

We expect prospective students to have substantial knowledge in machine learning, its mathematical foundations and Python programming. We therefore strongly recommend that students interested in doing their thesis in our lab should take our courses on Machine Learning, Deep Learning and took the Fachpraktikum Data Science. Exceptions are possible if well motivated.

Further recommended lectures are:

  • B.Inf.1231: Infrastruktures for Data Science
  • M.WIWI-QMW.0002: Advanced Statistical Inference (Likelihood & Bayes)
  • B.Mat.1300: Numerische lineare Algebra
  • B.Mat.2310: Optimierung

Please note, our thesis supervision capacity is limited and we receive more thesis inquiries than we are able supervise. Therefore, we have to select candidates. If you are interested, please write an email with the subject “Master’s thesis” or “Bachelor’s thesis” containing one to three sentences about what you would like to work on and your study record to the supervisor stated below.

We will get back to you within a few days. Otherwise, do not hesitate to remind us :).

Thesis offers

Protein Structure Analysis
Protein Structure Analysis
Supervisor: Alexander Ecker
Representation Learning of Neuronal Morphologies
Apply deep learning methods to represent 3D point clouds
Supervisor: Laura Pede
Neural Data Science Group
Institute of Computer Science
University of Goettingen