Course Details

Investment Projects Management

Academic Year 2023/24

DV77 course is part of 2 study plans

D-P-C-SI (N) / MGS Winter Semester 2nd year

D-K-C-SI (N) / MGS Winter Semester 2nd year

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.

Course Guarantor

Institute

Objective

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

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

Prerequisites

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

Language of instruction

Czech

Credits

8 credits

Semester

winter

Forms and criteria of assessment

examination

Specification of controlled instruction, the form of instruction, and the form of compensation of the absences

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

Offered to foreign students

Not to offer

Course on BUT site

Lecture

13 weeks, 3 hours/week, elective

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