222-0503 – Urban development modeling (MOD)

Gurantor departmentDepartment of Urban Engineering
Subject guarantorIng. Martin Ferko, Ph.D.
Study levelundergraduate or graduate
Subject version
Version codeYear of introductionYear of cancellationCredits
222-0503/01 2019/2020 3
222-0503/02 2019/2020 3

Subject aims expressed by acquired skills and competences

The course is aimed at students with an introduction of implementation issues simple mathematical models. The students in the course will enhance their ability to use computer technology to technical and economic calculations. The main element is the establishment of a dynamic model of the aging building and its more detailed analysis. The model is affected by the interaction between aging and structural elements of building an object in time according to the discharge procedure.

Teaching methods

Tutorials

Summary

The course is aimed at students with an introduction of implementation issues simple mathematical models. The students in the course will enhance their ability to use computer technology to technical and economic calculations. The main element is the establishment of a dynamic model of the aging building and its more detailed analysis. The model is affected by the interaction between aging and structural elements of building an object in time according to the discharge procedure.

Compulsory literature:

BOLONO, F.,ODORIZZI, S.: Numerical simulation of Foundry Processes, Program Leonardo da Vinci, 2001 HLAVSA, T.: Statistics I. V Praze: Česká zemědělská univerzita v Praze, Provozně ekonomická fakulta, 2016. ISBN 978-80-213-2659-0. EVERITT, B. et al.: Cluster analysis. 5th ed. Chichester: John Wiley & Sons, 2011. xii, 330 s. Wiley series in probability and statistics. ISBN 978-0-470-74991-3. WANG, XIAOYAN; BAI, YANPING: SpringerPlus. 9/27/2016, Vol. 5 Issue 1, p1-15. 15p. DOI: 10.1186/s40064-016-3329-4. LEBLANC, L., GALBRETH, M.: In: Interfaces. 37(4):370-382; The Institute for Operations Research and the Management Sciences (INFORMS), 2007

Recommended literature:

BUCHANAN, J.L.: Numerical Methods and Analysis, McGraw-Hill, 1992 NABARESEH, Stephen. Predictive analytics: a data mining technique in customer churn management for decision making: Prediktivní analytika: technika data miningu pro rozhodování s využitím v řízení odchodu zákazníků : doctoral thesis summary. Zlín: Tomas Bata University in Zlín, 2017. ISBN 978-80-7454-649-5.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.