Redesign and Evaluation of a Teaching Tool for Autoencoders

Theoretical (Analytical):
Practical (Implementation):
Literature Work:
Overview
Algorithms get more and more complex. Computers can visualize their execution "live." Thus, we can teach algorithms "live" with computers. Task: Redesign and evaluate a teaching tool for Autoencoders.
Problem Statement
Autoencoders are a popular type of neural network. However, teaching them to students can be difficult. There is a need for a well-designed and evaluated teaching tool for Autoencoders.
Tasks
- Analyze the viability of an existing teaching tool for autoencoders.
- Redesign and improve the existing teaching tool.
- Plan an evaluation of the developed framework.
Requirements
Good programming skills in Java/Python and TypeScript/JavaScript. Good familiarity with the D3 library.
Scope/Duration/Start
- Scope: Bachelor or Master
- 3 Month Project, 6 Month Thesis
- Start: immediately
Contact
References
Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel A. Keim. EduClust - A Visualization Application for Teaching Clustering Algorithms. Eurographics (Education Papers) 2019: 9-16.