Course detail

Investment Projects Management

FAST-DV77Acad. year: 2024/2025

Simulation and modelling of investment projects in uncertainty conditions. Project risk analysis and management. Financial stability of firm in context of its investment programme. Optimal financial structure. Expected values of economical efficiency ratios with using Monte Carlo simulation.

Language of instruction

Czech

Number of ECTS credits

8

Mode of study

Not applicable.

Guarantor

prof. Ing. Jana Korytárová, Ph.D.

Department

Institute of Structural Economics and Management (EKR)

Entry knowledge

Knowledge within the scope of study programme Civil Engineering, field Civil Engineering Management

Rules for evaluation and completion of the course

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Aims

Simulation and modelling of structural investment projects in private and public sector in risk and uncertainty conditions.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Fotr, J., Souček, I.: Podnikatelský záměr a investiční rozhodování. Grada publishing, a.s., 2005
Hnilica, J., Fotr, J.: Aplikovaná analýza rizika. Grada 2009
Ochrana, F.: Veřejný sektor a efektivní rozhodování. Management Press 2001
TSO: TSO: The green book, Appraisal and Evaluation in Central Government, Treasury Guidance. dostupné z www.hm-treasury.gov.uk 2005
Wideman, R. M.: Project and Program Risk management, a guide to managing project risk & opportunities. Project Management Institute 1992

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme D-K-C-SI (N) Doctoral

    branch MGS , 2 year of study, winter semester, compulsory-optional

  • Programme D-K-E-CE (N) Doctoral

    branch MGS , 2 year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

prof. Ing. Jana Korytárová, Ph.D.

Syllabus

1. Project simulation and modelling – general theories 2. Acts in context of investment project preparing and realization 3. Feasibility study private sector 4. Feasibility study public sector 5. Cost benefit analysis 6. HDM-4 model 7. Project risk management 8. Investment project flexibility (real options) 9. Simulation Monte Carlo – preparing of inputs data 10. Simulation Monte Carlo (software Crystal Ball usage) 11. Postaudit of projects 12. Case study – private sector project 13. Case study – public sector project