222-0974/01 – Technical and economic modeling and decision-making processes (TEM)

Gurantor departmentDepartment of Urban EngineeringCredits10
Subject guarantordoc. Ing. et Ing. František Kuda, CSc.Subject version guarantordoc. Ing. et Ing. František Kuda, CSc.
Study levelpostgraduateRequirementOptional
YearSemesterwinter + summer
Study languageCzech
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFASTIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
FER031 Ing. Martin Ferko, Ph.D.
KUD25 doc. Ing. et Ing. František Kuda, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 2+0
Combined Examination 16+0

Subject aims expressed by acquired skills and competences

The course will provide a comprehensive understanding of the principles of techno-economic modeling and decision-making process, pojímaného as an integral part of management decisions with consideration to the kinds of solutions to decision problems with regard to selection criteria, creating alternatives and determine the consequences of the decision-making processes. Emphasis is placed on analysis of interdependencies business objectives, available resources and their use options with regard to respecting the criteria of effectiveness of resource allocation and the time factor. Content focus: The course focuses on the decision-making processes involving methodology solving and decision making of all basic technical, and technological-technical and ecological problems associated with the provision of municipal development. It also deals with modeling and process management in the area with regard to the effectiveness of public infrastructure and minimizing environmental impact. At the same time discusses the development trends of sustainability of public infrastructure and quality of life in settlements. Subject utilizes SW PREV - Project Evaluation, which evaluates a tree decomposed and evaluated projects with an impact risk. Basic topics: Identification, analysis and formulation of decision problems, analysis of time series and conjunctural analysis, linear and nonlinear models, Foresight methods and their classification, analysis methods of decision-making problems, multi-criteria assessment methods and value engineering, modeling and forecasting geographic information systems, decision trees as a tool for optimization several stages of decision-making processes under risk, Software support decision trees, tools estimating the effects of risk variants, Tools, estimating the effects of risk variants, analysis of potential problems and opportunities by Kepner-Tregoe methodology, simulation using Monte Carlo -PREV FCE CTU.

Teaching methods

Individual consultations

Summary

Compulsory literature:

Heijman, W.: 'Risk as an externality in quantitative and marginal approaches'. In: Regional Externalities. 1st ed. Germany: Springer Berlin Heidelberg (2007), pp. 255-286.

Recommended literature:

Heijman, W.: 'Risk as an externality in quantitative and marginal approaches'. In: Regional Externalities. 1st ed. Germany: Springer Berlin Heidelberg (2007), pp. 255-286.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Elaboration of a given topic, the presentation of written and oral form.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Identification, analysis and formulation of decision problems, analysis of time series and conjunctural analysis, linear and nonlinear models, Foresight methods and their classification, analysis methods of decision-making problems, multi-criteria assessment methods and value engineering, modeling and forecasting geographic information systems, decision trees as a tool for optimization several stages of decision-making processes under risk, Software support decision trees, tools estimating the effects of risk variants, Tools, estimating the effects of risk variants, analysis of potential problems and opportunities by Kepner-Tregoe methodology, simulation using Monte Carlo -PREV FCE CTU.

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction P Czech Ostrava Optional study plan
2018/2019 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction K Czech Ostrava Optional study plan
2018/2019 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction P Czech Ostrava Optional study plan
2017/2018 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction K Czech Ostrava Optional study plan
2017/2018 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction P Czech Ostrava Optional study plan
2016/2017 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction K Czech Ostrava Optional study plan
2016/2017 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction P Czech Ostrava Optional study plan
2015/2016 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction K Czech Ostrava Optional study plan
2015/2016 (P3655) Civil Engineering (3607V012) Municipal Engineering and Construction P Czech Ostrava Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner