study programme

Forensic Engineering

Original title in Czech: Soudní inženýrstvíFaculty: IFEAbbreviation: DSP SoI_KAcad. year: 2021/2022

Type of study programme: Doctoral

Study programme code: P0788D020001

Degree awarded: Ph.D.

Language of instruction: Czech

Accreditation: 25.6.2020 - 24.6.2025

Mode of study

Combined study

Standard study length

4 years

Programme supervisor

Doctoral Board

Fields of education

Area Topic Share [%]
Security Sector Fields 100

Issued topics of Doctoral Study Program

  1. ...


    Tutor: Kledus Robert, doc. Ing., Ph.D.

  2. ...


    Tutor: Procházková Danuše, doc. RNDr., CSc., DrSc.

  3. Automated valuation Models for Real Estates with Implementation


    Tutor: Cupal Martin, doc. Ing. et Ing., Ph.D. et Ph.D.

  4. Causes of failures of cyber-physical systems

    Contemporary technical facilities (objects and infrastructures) are cyber-physical in nature, because their management depends on information systems. There are still no clear rules for designing the interfaces between physical and cyber parts, and therefore, the systems in question fail, which are often unexpected and difficult to understand. The goal of the work is to collect data about failures, determine the causes of failures, and organize them into categories. This will provide the basis for seeking the engineering measures and for drawing up the rules to ensure safe interfaces among the physical and cyber parts of systems. The knowledge in question is important, for example, for setting the rules of self-driving cars.

    Tutor: Procházka Jan, RNDr., Ph.D.

  5. Determination of causes and impacts of failure of critical technical facility (object or network) and evaluation of losses and damages to public assets

    Ensuring the critical technical facilities (both object and network) is one of the basic functions of the State, since they are necessary to ensure the vital needs and safety of people. Based on the concept of integral security using the defence-in-depth approach, identification, analysis, evaluation and assessment of risks will be carried out on selected technical facilities of different types. The risks arising from organisational accidents and terrorist attacks will also be considered. By using the principles for management and settlement of risks by engineering procedures, there will be identified: variants of possible critical situations; their impacts on public assets; and for at least five selected cases of different technical facilities and time conditions, losses and damages to public assets will be determined.

    Tutor: Procházková Danuše, doc. RNDr., CSc., DrSc.

  6. Expression of the usual price of transport performance

    The expression "usual price" represents a relatively extensive issue, especially in transport conditions based on, for example, technological differences in individual modes of transport, implementation of services in the "services of general interest", differences in quality and capacity requirements for means of transport, contracting time and the like. The work should define the aspects by which the price of transport performance is affected, the factors that affect them, the individual elements and items included in the calculations, while the output will be the methodology of expressing the usual price. This should represent the basic basis not only for the specific expression of the price, but also for the possibility of mutual comparison of performance charges.

    Tutor: Drahotský Ivo, doc. Ing., Ph.D.

  7. Influence of the use of vehicle with alternative engine in the valuation of motor vehicles

    Due to anticipated expansion of vehicles with alternative propulsion, where efforts to reduce CO2 emissions lead to a gradual change in the structure of the vehicle fleet, which will continue, there is a need to deal with the valuation of these vehicles compared to vehicles with conventional propulsion. At present, from the point of view of individual car manufacturers, as well as spare parts suppliers, a uniform concept is not applied to both the drive and the used batteries. However, it is these parts that significantly affect the valuation of the vehicle. It is also important to determine the condition of the components. Thus, in addition to determining the systems of alternative drives, the work will also include methods of assessing the condition of energy storage systems and determining their value.

    Tutor: Drahotský Ivo, doc. Ing., Ph.D.

  8. Method of risk identification, analysis and evaluation in smart grids

    The topic is focused on research of a suitable method for identification, analysis and evaluation of risks, their management including proposals for risk measures in smart grids. In the theoretical part, the student analyzes the currently used methods for identification, risk assessment, including the importance of vulnerabilities and the parameters that are utilized in these methods. The main contribution the work will be the design and implementation of the method, including verification of functionality. The main contribution of the method is a more efficient way of prioritizing vulnerabilities and therefore the implementation of countermeasures is realized in more effective way in smart grids.

    Tutor: Martinásek Zdeněk, Ing., Ph.D.

  9. Real estate financial modelling for income approach


    Tutor: Cupal Martin, doc. Ing. et Ing., Ph.D. et Ph.D.

  10. Research into combined detection methods for fault-state, failure-state and operational anomaly-state detection


    Tutor: Fujdiak Radek, Ing., Ph.D.

  11. Research into quantification methods for risk analysis in operational environment


    Tutor: Fujdiak Radek, Ing., Ph.D.

  12. Research of tools and methods for predicting the development of the residential market

    The aim of the dissertation will be to propose a methodology for predicting the development of the residential market. The methodology of the work will be based mainly on the application of methods of classical statistics in combination with robust statistical methods or fuzzy logic, or genetic algorithms. Appropriate indicators from the area of macroeconomic, socio-economic, political, environmental and other indicators will be chosen as factors influencing the development of the residential market. The results of the work will then be formed into an expert and appraisal environment and thus into practice.

    Tutor: Škapa Stanislav, doc. Ing. et Ing., Ph.D.

  13. Road user’s reaction before collision events (pedestrians, cyclists)

    Traffic on roads also brings with it the occurrence of collisions and traffic accidents. During their analysis, requirements arise for determining the reaction of the participants in the accident. In many cases, however, it is not possible to state unequivocally, as there is insufficient input to draw a clear conclusion. In such cases, a statement on the "usual" reaction is usually required. The new legislation works with the term "probability". The essence of the work will be based on a set of documented collision events to analyze the ways of reaction of participants. These data will be further compared with existing knowledge and the result will be a comprehensive overview of possible reactions divided according to the set criteria and their frequency.

    Tutor: Drahotský Ivo, doc. Ing., Ph.D.

  14. Selected aspects of motion of motorbikes and behavior of riders


    Tutor: Semela Marek, doc. Ing. Bc., Ph.D.

  15. Selected issues of transport infrastructure property valuation

    Valuation of transport infrastructure assets, such as roads and bridges, brings several differences in comparison with the valuation of buildings or other assets. In general, transport infrastructure assets are neither commonly traded nor the subject of supply and demand. Nevertheless, for accounting reasons, for reasons of damages, etc., it is necessary to be able to value them. There are two dissertation aims, i.e., to solve selected aspects of the valuation of the specific kind of property and to contribute to the subsequent creation of an expert standard, the absence of which is felt in the practice.

    Tutor: Pospíšil Karel, prof. Ing., Ph.D., LL.M.

  16. Simulation modeling of traffic accidents at reduced visibility

    Statistics show that almost 2/3 of the number of pedestrians killed in traffic accidents are killed in reduced visibility (darkness, fog, heavy rain, snow, etc.). Overall, the share of accidents in the dark or otherwise reduced visibility in the total number of accidents is about a third. When processing the analysis of such an accident, it is necessary to assess the driver's view. This can be verified experimentally by an examination experiment, but only if the same conditions can be induced as at the time of the accident. This is possible in the case of an accident in the dark, without the additional effects that affect the driver's vision. However, if accident occurs in rain, snow or fog, experimental verification cannot be performed. Similarly, when the driver is sunbathing, especially at sunrise or sunset, the implementation of such an experiment is difficult due to fast changing conditions. However, some simulation programs already allow user to replace an outdoor experiment with simulation modelling. For example, the Virtual CRASH simulation program allows the user to simulate and then visualize different types of vehicle headlights, their settings (colour, inclination, intensity, shape, etc.) and external environment and conditions (ambient light intensity, position and intensity of the sun, street lighting, fog, etc.). All this in motion at real speeds with the possibility of monitoring the situation from the vehicle or from anywhere in the environment. However, a variety of input data are required to perform the simulation, which experts usually do not know, do not have, and often have no idea what they mean and how they will be reflected in the simulation. The aim of the work will be based on a series of experiments both in the simulated environment and outdoors, and their comparison to verify the effect of setting the input parameters of the simulation and finding a way to select appropriate parameters for specific situations. The result will be a database of suitable parameters for simulations of accidents with reduced visibility and a comprehensive methodology for obtaining these parameters and the correct setting of the simulation program so that the resulting visualization corresponds as closely as possible to the reality at the time of accident.

    Tutor: Bradáč Albert, Ing., Ph.D.

  17. Technical and legal assessment of cause of traffic road accident with participation of vulnerable road users


    Tutor: Semela Marek, doc. Ing. Bc., Ph.D.

  18. The comprehensive analysis of driver behavior and decision strategies during selected maneuvers in real road traffic


    Tutor: Bucsuházy Kateřina, Ing. et Ing., Ph.D.

  19. The price of robotically built houses and its influence on the price of real estate


    Tutor: Čech Josef, Ing., Ph.D.

Course structure diagram with ECTS credits

1. year of study, winter semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
DSNA02cs0CompulsoryDrExP - 24 / KK - 6 / K - 8yes
DSNS01cs0CompulsoryCrKK - 6 / K - 26no
DSNA03cs0CompulsoryDrExP - 24 / KK - 6 / K - 8no
1. year of study, summer semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
DSNS02cs0CompulsoryCrKK - 6 / K - 26no
DSNA01Probability and Mathematical Statisticscs0CompulsoryDrExP - 24 / KK - 6 / K - 8no
DSNS00cs0CompulsoryColKK - 6 / K - 8 / S - 24no
DSNB11cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB10cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB06cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB02cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB09cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB01cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB05cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB04cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB08cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNB03cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
2. year of study, winter semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
DSNS03cs0CompulsoryCrKK - 6 / K - 26no
DSNC06cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNC01cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNC04cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNC03cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNC05cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
DSNC07cs0Compulsory-optionalDrExP - 12 / P - 12 / KK - 61no
DSNC02cs0Compulsory-optionalDrExP - 12 / KK - 6 / K - 121no
2. year of study, summer semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
DSNJcs0CompulsoryDrExKK - 6 / K - 8 / Cj - 24no
DSNS04cs0CompulsoryCrKK - 6 / K - 26no
3. year of study, winter semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
DSNS05cs0CompulsoryCrKK - 6 / K - 26no
3. year of study, summer semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
DSNS06cs0CompulsoryCrKK - 6 / K - 26no
4. year of study, winter semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
DSNS07cs0CompulsoryCrKK - 6 / K - 26no
All the groups of optional courses
Gr. Min. courses Courses
1 1 DSNC06, DSNC01, DSNC04, DSNC03, DSNC05, DSNC07, DSNC02
1 1 DSNB11, DSNB10, DSNB06, DSNB02, DSNB09, DSNB01, DSNB05, DSNB04, DSNB08, DSNB03