Original title in Czech: Soudní inženýrstvíÚSIAbbreviation: SOIAcad. year: 2011/2012Specialisation: Property Valuation
Programme: Forensic Engineering
Length of Study: 4 years
prof. Ing. Albert Bradáč, DrSc.
Issued topics of Doctoral Study Program
Goal of this work is to make analysis of current status and make technical interpretation of basic selected terms from traffic rules with accent on legal safeguard improvement for participants of traffic operations.
Tutor: Vémola Aleš, doc. Ing., Ph.D., dr. h. c.
The goal is to collect all relevant legislation and the methodology used for valuing real estate in Germany. To analyze these rules and valuation methods and the practical procedures for their use for valuation in the Czech Republic. The work will be a few specific examples of awards selected properties in CR using these foreign practices. This theme is suitable for graduate engineering with real estate contacts in the field of problems of the selected state.
Tutor: Šmahel Milan, Ing., Ph.D.
The goal is to collect all relevant legislation and the methodology used for valuing real estate in Italy. To analyze these rules and valuation methods and the practical procedures for their use for valuation in the Czech Republic. The work will be a few specific examples of awards selected properties in CR using these foreign practices. This theme is suitable for graduate engineering with real estate contacts in the field of problems of the selected state.
Working discuss the current development trends and vehicle design with a focus on the stiffness of the vehicles and the possibility of simulation programs used for the analysis of road accidents.
In the analysis of traffic accidents involving maneuvers to turn or overtake, it is necessary to take into account the time the driver needs to assess his backwards situation. This particular time has never been systematically analyzed yet. Therefore, only estimates by the experts are used which are biased due to their personal experience and thus, are not rational.
The goals of this thesis are to develop a measuring methodology for the determination of actual times as well as the application of such a method in order to create a catalogue with real world values.
Tutor: Pustina Pavel, prof. Ing., Ph.D.
Work will focus on analyzing the effects of human factors contribute to the emergence of the causes of traffic accidents.
Tutor: Vykopalová Hana, prof. PhDr., CSc.
Goal: To elaborate an evaluation methodology of the effect of the motorvehicle model and type changes during their assessment.
Tutor: Kledus Robert, doc. Ing., Ph.D.
Risk analysis for selected types of emergencies, suggestions for action, behavioral manifestations
Analysis of the causes of incidents resulting from misguided human intervention, assessment of their impact on the occurrence and extent of material damage. Possibilities of prevention.
The aim of this work is a detailed analysis of the results of traffic accident research in order to gain new knowledge for the analysis of road accidents, the forensic engineering.
Traffic and transportation risks, legislative action
Work will focus on safety and risks of transport in relation to victims and their consequences
The goal is to perform a analysis of current conditions, evaluate any existing methods and approaches in this field of education with a specific focus, ie, through access to object within the meaning of adult education, respectively androdidactic.
Tutor: Alexandr Pavel, doc. Ing., CSc.
The issue of stress in the transport sector, its measurement, detection, manifestations, behavior, and possible solutions.
The aim of dissertation will be the suggestion of methodology for predicting the real estate market or the selected segment (the commodity of the real estate markets). There will be used for prediction methods of classical statistics in combination with robust statistical methods and fuzzy logic. As the factors influencing the development of the real estate market will be selected appropriate indicators of macro-economic, socio-economic, political and other area.
Tutor: Škapa Stanislav, prof. Ing. et Ing., Ph.D.
The aim of dissertation will be the suggestion of methodology for measuring the risks of investing in real estate. Especially in times of economic crisis is limited usány of classical statistical models to measure this risk, and therefore will be used for the measurement methods of classical statistics with an emphasis on so-called down-side risk in combination with robust statistical methods and simulation methods (eg. Monte Carlo, Bootstrap).
The work will deal with assessing the reliability of humans in the work system in direct relation to risk management (including the risk factors of working environment, work and health)