Soft Computing: Smart Ways of Being Inexact

General description

Soft computing as a field of applied computer science emerged from an ambition to parallel the unique capability of human mind to approach difficult problems in the world full of uncertainty, vagueness and complexity. To face this challenge, soft computing was originally founded on three major methodological pillars: neural networks, fuzzy logic and evolutionary computing.

The course is intended to serve as an introduction to the field of soft computing and illustrate the potential of presented methods in a range of case study applications. The accompanying lab sessions in Matlab will offer great opportunities to familiarise yourself with these concepts through hands-on experience. Follow this link for an (even more) detailed description of the academic content of the course.

Join us for an awesome 9 days of awesome learning accompanied with awesome parties and awesome Swedish culture!!! We are super excited to host you!

Academic information

Fields of activity:
Computational Sciences
Content and topics:
Neural networks, fuzzy systems and evolutionary computing paradigms with applications in pattern recognition, optimisation, forecasting and control.
Learning goals and objectives:
The course is not aimed at providing particularly deep theoretical insights but rather making students familiar with fundamental concepts of Soft Computing as well as giving them a broad perspective of emerging synergistic effects and their practical implications.
Examination type:
Project based examination.
ECTS credits issued:
Not known yet

Information for applicants

Selection criteria:
Motivation letters and answers to the questions below. Interest in Soft Computing!

Practical arrangements

All of the following are covered by the event fee:

Student dormitories.
Three meals per day, at least one cooked.
Public transport.