Speaker
Description
Scientific knowledge of the world is objective knowledge that certain phenomenon can be explained so that it can be predicted.We will have a look at how we have gained scientific knowledge about the world that we live in, in the way through reverse engineering.
With the little pieces of the knowledge, we have devised many ways and built systems and machineries to achieve what we humans wish to have.
In this talk, we will address what mathematics can offer for engineering, applications and even for policy-making, and basic problem solving approaches in these areas. The basic approach will entail diverse methods that we have now in STEM area.
We will also discuss to clarify what types of problems can be better tackled with the approaches in traditional algorithms in computing, or with those in machine learning.
These topics will be discussed with examples in various areas such as computational models, traditional algorithms, machine learning, networks, computer vision and graphics, robotics, etc.
References
Garey, M. R.; Johnson, D. S. (1979). Victor Klee (ed.). Computers and Intractability: A Guide to the Theory of NP-Completeness. A Series of Books in the Mathematical Sciences. San Francisco, Calif.: W. H. Freeman and Co. ISBN 0-7167-1045-5. MR 0519066. 338 pages.
| Keywords | problem solving approaches, natural sciences, mathematics, engineering, reverse engineering |
|---|
