222-0503/01 – Urban development modeling (MOD)

Gurantor departmentDepartment of Urban EngineeringCredits3
Subject guarantorIng. Martin Ferko, Ph.D.Subject version guarantorIng. Martin Ferko, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesHGF, FASTIntended for study typesMaster, Follow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
FER031 Ing. Martin Ferko, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit 0+3
Part-time Credit 0+14

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.

Way of continuous check of knowledge in the course of semester

Written final test, control of read professional literature, conversational topics.

E-learning

Other requirements

At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse). Tasks assigned on the exercises must be hand in within the dates set by the teacher.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Topics: 1. Process Modelling - Introduction parameterization 2. Follow-up processes 3. Introduction + creation of a dynamic model 4. Build a model calculation of the aging 5. Model of Asset Management (Buildpass) 6. Risk, risk analysis, optimization 7. The model of competitive relations Contents exercises 1) The model dependence of elements in time (\"splines\") 2) Parameterization of the model dependence of elements in time 3) Dynamic model of aging object (the object) 4) Development of calculation model of aging a) tuning b) extensions (external influences, risks, etc.) 5) Application of risk in a model of aging

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit Credit 100  51
Mandatory attendence parzicipation: At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse). Tasks assigned on the exercises must be hand in within the dates set by the teacher. Final written test.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N0732A260015) Civil Engineering - Municipal Engineering P Czech Ostrava 1 Compulsory study plan
2021/2022 (N0732A260015) Civil Engineering - Municipal Engineering K Czech Ostrava 1 Compulsory study plan
2020/2021 (N0732A260015) Civil Engineering - Municipal Engineering P Czech Ostrava 1 Compulsory study plan
2020/2021 (N0732A260015) Civil Engineering - Municipal Engineering K Czech Ostrava 1 Compulsory study plan
2019/2020 (N0732A260015) Civil Engineering - Municipal Engineering P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0732A260015) Civil Engineering - Municipal Engineering K Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner