Form of study
Part-time
Type of study
Doctoral
Awarded title
You get the title Ph.D.
Standard length of study
4 years
Language of study
Czech
Open Day
You can submit the application
Number of students admitted last year
0

Characteristics of the branch of study Informatics in Public Administration:

The University of Pardubice, the Technical University of Liberec and the University of Hradec Králové have created a joint doctoral study programme called "Systems Engineering and Informatics". The study programme is implemented as an interconnected activity of all three participating faculties – not a parallel study at the participating faculties, but a joint study – characterised by the mobility of both students and teachers. Due to the professional specialisation of the participating faculties, the proposed study programme is divided into three fields:

  • Managerial Informatics (guaranteed by the Faculty of Economics, Technical University of Liberec)
  • Informatics in Public Administration (guaranteed by the Faculty of Economics and Administration, University of Pardubice)
  • Information and Knowledge Management (guaranteed by the Faculty of Informatics and Management, University of Hradec Králové).

Informatics in Public Administration is based on the development of information and communication technologies (ICT) focused on public administration (state administration and regional governments) with an emphasis on data security and protection. It is characterised not only by the creative use of ICT, but also the creation and use of specific tools to support decision-making (geographic information systems: GIS) within the territory.

Objectives of the branch of study:

The study is aimed at mastering highly developed information and communication technologies with creative application to public administration. Creative use of GIS technology includes the creation of own decision layers of the spatial model of the territory, the creation of distributed databases, and the issue of minimising the volume of transmitted messages. There is also focus on the development of user-friendly technologies, especially for public relations with the public administration sector. Last but not least, the study also focuses on the issue of obtaining information from information sources for both citizens and the public administration sector.

Graduate profile:

The graduate of the doctoral programme Informatics in Public Administration is profiled for the highest positions as IT experts in statutory and large cities and regions. They are ready to independently solve, or lead a team to solve, complex problems in building and maintaining databases, information transfer, remote connection of institutions, security, and protection of data and information. Emphasis is placed on the creative application of knowledge, taking into account the expected development and changes in the style of work of public administration bodies and institutions. The graduate of Informatics in Public Administration has mastered the principles of scientific work, scientific formulation of problems, legal and environmental aspects of new products, and ethical and social aspects of scientific work. They are able to present the results of research in various forms, including publication in scientific journals and proceedings of scientific conferences.

Initial requirements for applicants:

The applicant should be a graduate of a postgraduate study programme in informatics or another related study programme. In the field of economics, the applicant requires university knowledge of microeconomics and macroeconomics, business economics and individual basic economic disciplines, and knowledge of the application of technical, software and communication tools in management, as well as ways of obtaining information from information sources. In the field of informatics, the applicant requires the ability to design simple database applications, knowledge of CASE resources, programming principles, basic tools to support the decision-making process, general knowledge of modern information and communication technologies, and knowledge of system approaches and analysis. In the field of language skills, a working knowledge of English is required.

Focus and scope of required knowledge and courses:

The courses included in the standard study plan as compulsory or compulsory elective options are designed to enable the student, in cooperation with the lecturer in the doctoral study programme, to obtain a sufficient basis corresponding to the current state of knowledge in the field to which the doctoral study programme belongs. To achieve the required knowledge, the student chooses the courses in connection with their research orientation and the focus of their dissertation.

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2023-02-11T00:00:00
11. 2. 2023 - 11. 2. 2023
09:00 - 12:00
Den otevřených dveří FES UPCE 2022

Otevíráme dveře FESky a počítáme s tím, že se s Tebou setkáme osobně

Den otevřených dveří únor 2022 | Fakulta ekonomicko-správní (upce.cz)

You can choose the following topics for your dissertation

Doctoral thesis themes available in the academic year 2023/2024
Before submitting your application please contact a potential supervisor to discuss a dissertation topic. Applicants can propose their own themes of dissertation theses. Such themes will be accepted upon agreement of a supervisor and advisory board of a particular study programme.

 

Supervisor: Prof. Jan Čapek, CSc. (capek@upce.cz)

1. Modelling Information Flows within Public Administration
E-government affects the management of human, technological and organisational resources processes not only in Public Administration. Some authorities state that an integrated process model should make it easy to identify possible ways for improvement. Instruments like Petri-Nets can be suitable for partial solutions in public administration. The main advantages of Petri nets are their graphical notation, their simple semantics, and the rich theory for analysing.

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Supervisor: Prof. Petr Hájek, PhD. (petr.hajek@upce.cz)

1. Modelling Data from Text Documents using Fuzzy Sets
The aim of the dissertation is to summarize the current approaches to text mining using fuzzy sets, to collect a corpus of text documents, to propose a model using fuzzy sets to effectively consider uncertainty in the text, and to validate the proposed model on the corpus.

2. Predicting Innovation Performance of European Regions using Fuzzy Systems
The aim of the dissertation is to review existing research in innovation performance prediction, to propose a set of innovation performance indicators, to collect a dataset on European regions, to propose a fuzzy rule-based system trained using the dataset, and to validate the obtained results using existing performance criteria.

3. Assessment and Selection of Sustainable Smart City Projects
The aim of the dissertation is to summarize existing approaches to assessment and selection of sustainable smart city projects, to propose a multi-criteria group decision-making method considering a high level of uncertainty needed for the evaluation of sustainable smart city projects, to validate the method on a real-world case study, and to compare the resulting rankings with existing approaches used in this domain.

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Supervisor: Assoc. Prof. Miloslav Hub, Ph.D. (miloslav.hub@upce.cz)

1. Usability of Adaptive User Interfaces
The aim of this work is to design and verify a new way to evaluate the usability of adaptive user interfaces. The student is expected to search for adaptive user interfaces, existing methods of user interface usability evaluation, design of own model of adaptive user interface usability evaluation and verification of the model on experimental data.

2. Evaluation of the Usability through Models
The aim of this work is to design and verify a new way of evaluating the usability of user interfaces through models. The student is expected to search the current user interface usability evaluation through models, design their own user interface usability evaluation model and verify the model on experimental data.

3. Use of Computational Intelligence in Biometric Authentication
The aim of this work is to design and verify a new method of biometric authentication using computational intelligence. The student is expected to search for existing methods of biometric authentication through computational intelligence, design their own model of biometric authentication using computational intelligence and verification of the model on experimental data.

+ two themes upon agreements with the applicants

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Supervisor: Prof. Jitka Komárková, Ph.D. (jitka.komarkova@upce.cz)

1. Geoinformatics Approaches Suitable for Evaluation and Modelling of Sustainable Development
The work will focus on selected spatially oriented problems of public administration (e.g. landscape management, optimization of the occurrence of phenomena and objects in the territory,...). The thesis will identify suitable data sources, propose a data model, and will search for new and innovative methods of advanced analysis and visualization.

2. Infrastructure of Smart Cities to Support E-Participation of Citizens
The work will focus on the design of a scalable architecture and e-infrastructure, with any necessary links to the architecture and services of the national e-infrastructure and taking into account current trends, such as the use of data from sensor networks, participatory technologies, or the principles of maintaining full control of the owner over the data or data reuse.

+ one theme upon agreement with the applicants

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Supervisor: Assoc. Prof. Hana Kopáčková, Ph.D. (hana.kopackova@upce.cz)

1. Evaluating Sustainability Standards in Green Smart Cities using Key Performance Indicators, Business Intelligence Framework and Big Data
This work aims to develop a conceptual framework based on technology and BI methods and big data to leverage data from smart city sources and determine performance based on metrics.

2. Participatory Citizen Sensing (PCS) Systems
The aim of this work is to analyse the success factors of the implementation of PCS systems at the level of citizens and public administration. Based on the identified key success factors, subsequently, build a multidimensional model of PCS systems adoption. Test this model. 

3. Models of the Use of Blockchain Technology in Supply Chain Environment 
The thesis aims to identify, describe and analyse the ways in which blockchain technology is involved in the supply chain. Special attention will be paid to process models and algorithms used in this area. Part of the work will be the design of own model.

+ one theme upon agreements with the applicants

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Supervisor: Assoc. Prof. Jiří Křupka, PhD. (jiri.krupka@upce.cz)

1. Modelling of Group Decision Making in Public Administration based on Soft Case-based Reasoning
The dissertation deals with modelling of group decision-making of a selected problem.  The thesis summarizes and analyses an available information and methods that are able to work with uncertainty. The model is proposed on the basis of the system approach and soft case-based reasoning. The model will be verified on a case study.

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Supervisor: Assoc. Prof. Pavel Petr, Ph.D. (pavel.petr@upce.cz)

1. Analysis and Synthesis of Models of Decision-Making Activities of the Institution
Describe and analyse the decision-making processes of the selected organization. Design and optimize decision-making models for this organization.

2. The Process Mining for Process Optimization
Analyse existing methods for evaluating the effectiveness of an organization's processes. Focus on process optimization methods using selected Process Mining methods.

+ one theme upon agreement with the applicant

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Supervisor: Assoc. Prof. Stanislava Šimonová, Ph.D. (stanislava.simonova@upce.cz)

1. Information Flows Modeling for Business Intelligence Approach
Identification of data sources and tracing of information flows in the organization is especially important in connection with the implementation of Business Intelligence. The student is expected to conduct research both in the area of identifying data sources and in the area of using Business Intelligence options. It will include an assessment of the quality of the application of Business Intelligence through models. The output is the design of models for analyzing the transition to Business Intelligence.

2. Analysis and Modeling of Big Data
Methods and approaches for data analysis and modeling are still evolving, especially with the application of other types of data. The focus will therefore be on big data and semi-structured data. The student is expected to conduct research in the areas of data analytics. The continuity of principles between structured data and big data will be examined. The output will be the design of models for big data analysis and modeling.

+ two themes upon agreement with the applicant

Courses taken by the first-year students this year

Teaching (LECTURE + EXERCISE + SEMINAR) in hours per week
Any year
Any semester
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
8+0+4
Credits
20
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
8+0+4
Credits
20
Type of subject
Compulsory subject
Scope of teaching
8+0+4
Credits
20
Type of subject
Compulsory subject
Scope of teaching
12+0+12
Credits
20
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
0
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
0
Type of subject
Optionally compulsory subject
Scope of teaching
4+0+8
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
4+0+8
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
4+0+8
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
4+0+8
Credits
10

Successful Alumni

Ing. Lukáš Wagenknecht
Parliament of the Czech Republic, Senator
Ing. Henry Junior Anderson, Ph.D.
Oracle, Data Scientist
Tobi Alfred Ayanleke, MBA
TELUS, Commercial Security Consultant

What scholarships can you get

Tuition fees

Part-time study

Part-time study involves a lot of independent work. You come to school once in about three weeks, on Fridays and Saturdays. In these lectures you will go through the core parts of the courses, the rest depends on your self-study. This form of study is complemented by consultations.

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