Smart Cities Design

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Applied Mathematics

Synopsis:

Introduction to smart cities, systém analysis and design fundamentals, usage of UML for system design, principles of complex systems, modeling using multiagent systems in the SW environment AnyLogic, application on a small scale real world problem.

Requirements:

Smart Cities Fundamentals

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Within this course, students will learn about the design methods of different smart city components in a heterogeneous and distributed environment using UML, multiagent systems and tools for simulation of complex (not only traffic) systems. The students will also gain practical experiences through working on an individual project.

Study materials:

[1] G. Rzevski and P. Skobelev. Managing complexity. World bank 2014.

[2] Whitten, Jeffrey L, Lonnie D. Bentley, and Kevin C. Dittman. Systems Analysis and Design Methods. 7th edition. Boston: McGraw-Hill Irwin, 2005.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: