The past decades have seen an exponential growth in digital electronic computing. But as Moore's Law approaches saturation, focus turns (back) to alternative approaches to data processing: such as analog computing or cellular computing and also quantum computing.

In this course we survey and look into these and other “unconventional” computing paradigms.

Teacher: Martin Ziegler (use only this email address!)

Classroom: N1 #111

Schedule: Tue+Thu 10h30~11h45am KST

Language: English only (except for students discussing in KLMS)

Prerequisites: CS204 Discrete Mathematics

0. Introduction (PPT)
1. Conventional Computing (PPT)
2. Asymptotic Computing (PPT)
3. Analog Computing (PPT)
4. Quantum Computing (PPT)
5. Cellular Automata (PPT)
6. Swarm Computing (PPT)
7. Biological Computing
8. Neural Computing

• https://en.wikipedia.org/wiki/Unconventional_computing
• https://sites.google.com/view/ucnc-2024/conference/previous-conferences
• https://doi.org/10.1038/s41598-020-68834-1
• https://doi.org/10.1007/978-1-4939-6883-1