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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Artificial Intelligence and Expert Systems in Transport

The course is not on the list Without time-table
Code Completion Credits Range Language
14UES ZK 2 2P+0C
Lecturer:
Tutor:
Supervisor:
Department of Applied Informatics in Transportation
Synopsis:

Introduction to artificial intelligence, work in unified state space and with related techniques.

Requirements:

Basic knowledge of mathematical tools and probability theory

-Basic level Knowledge of transportation engineering

Syllabus of lectures:
Syllabus of tutorials:
Study Objective:

To introduce students to methods of artificial intelligence with respect to transportation applications. Praktical training in related techniques.

Study materials:

Jang , J.-S. R., C.-T. Sun, and E. Mizutani. Neuro-Fuzzy and Soft Computing. Prentice Hall:1997

-Teodorovic, D. & Vukadinovic, K., Traffic Control and Transport Planning: A Fuzzy Sets and Neural Networks Approach, Kluwer Academic Publishers, Boston/ Dordrecht/London,

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-10-18
For updated information see http://bilakniha.cvut.cz/en/predmet1167206.html