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

Characteristics of the branch of study Applied Informatics:

The University of Pardubice and the University of Hradec Králové have created a joint doctoral study programme "Applied Informatics". The branch of study is focused on mastering scientific methods of research, and the development of systems based on the use of information technology for the collection, transmission, storage and processing of data, information and knowledge. Students will focus on issues of design, implementation, evaluation, use and maintenance of computer-based systems in various application domains of informatics. The study includes computer resources, software, organisational and human aspects, and industrial and commercial applications. Emphasis is placed on the creative application of methods and tools of computer science to solve various real-world problems.

Objectives of the branch of study:

The study is aimed at educating highly qualified professionals able to research, design, implement, develop and especially apply modern information, communication and knowledge technologies in various industrial and other areas.

Graduate profile:

A graduate of applied informatics is able to scientifically research and bring their own solutions to problems in the field of methods and tools for the development of systems for collecting, transmitting, storing and processing data, information and knowledge, while being able to independently acquire theoretical and practical knowledge in applied informatics. The graduate of the field of applied informatics masters 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 programme aimed at informatics or another related study programme. In the field of informatics, the applicant should have sound knowledge of the application of technical, software and communication tools, the ability to design simple database applications, knowledge of CASE tools, programming principles, basic tools to support decision-making, knowledge of system approaches and system analysis, as well as knowledge of obtaining information from information sources. In the field of language skills, the applicant should have a working knowledge of English.

Focus and scope of required knowledge and courses:

The courses included in the standard study plan as compulsory or optional 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.

Get in Touch

2021July
0
August
1
September
1
October
0
November
0
December
0
2022January
0
February
0
March
0
April
0
May
0
June
0
2021-08-09T00:00:00
9. 8. 2021 - 15. 8. 2021
09:00 - 19:00
Science Point UPCE na Sportovním parku

Univerzita Pardubice obohatí program Sportovního parku v Pardubicích speciálním populárně-naučným programem s atraktivními vědeckými a technickými interaktivními demonstracemi na stanovišti s názvem SCIENCE POINT.

You can choose the following topics for your dissertation

Doctoral thesis themes available in the academic year 2021/2022
- before submitting your application please contact a potential supervisor to discuss a dissertation topic

Supervisor: Prof. Jan Čapek, CSc. (capek@upce.cz)
1. Modelling of the Complex Systems
2. Cybernetics Security and IoT
+ one theme upon agreement with the applicant

Supervisor: Prof. Petr Hájek, Ph.D. (petr.hajek@upce.cz)
1. Artificial Intelligence in Software Engineering
2. Interval-valued Fuzzy Inference Systems
3. Interpretability of Deep Neural Networks
4. Text Classification using Deep Neural Networks

Supervisor: Assoc. Prof. Miloslav Hub, Ph.D. (miloslav.hub@upce.cz)
1. Biometric Authentication based on the Use of Pointing Devices
2. Using of Audiomaps in Tourism
3. Evaluation of Usability of User Interfaces through Natural Language
4. Usability Evaluation of Non-Standard User Interfaces
+ one theme upon agreement with the applicant

Supervisor: Assoc. Prof. Jitka Komárková, Ph.D. (jitka.komarkova@upce.cz)
1. A Modern Architecture of Web-Based Geographic Information Systems that Includes Sensor Networks and Crowdsourcing as a Data Source
2. Spatial Data Infrastructure to Support Development of Modern Smart Cities
3. Automatization of UAV-Sensed Data Processing
4. Big Spatial Data Processing
5. Water Quality Estimation Model based on Remotely Sensed Data

Supervisor: Assoc. Prof. Jiří Křupka, PhD. (jiri.krupka@upce.cz)
1. Group Decision Making Models on the basis of Fuzzy and Rough Sets Theory

Supervisor: Assoc. Prof. Pavel Petr, Ph.D. (pavel.petr@upce.cz)
1. Extraction of Information from Social Networks
2. Fuzzy Methods in Project Management
3. Visualization and Data Mining for Multidimensional Data Sets
4. Optimalization of Timesheets Creation in the Academic Environment
5. Project Portfolio Management using Artificial Intelligence

Supervisor: Assoc. Prof. Stanislava Šimonová, Ph.D. (stanislava.simonova@upce.cz)
1. Enterprise Performance Monitoring based on Data Sources of Organization
2. Application of Business Intelligence Methods in the Concept of Smart Cities
3. Use of Business and Competitive Intelligence Methods in Relation to Big Data
+ two themes upon agreement with the applicant

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.

Courses taken by the first-year students this year

Teaching (LECTURE + EXERCISE + SEMINAR) in hours per week
Any year
Any semester
Type of subject
Compulsory subject
Scope of teaching
15+0+0
Credits
15
Type of subject
Compulsory subject
Scope of teaching
15+0+0
Credits
15
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
15+0+0
Credits
30
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
0
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Type of subject
Optionally compulsory subject
Scope of teaching
12+0+0
Credits
10
Winter term
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
5
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
5
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
5
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
20
Summer term
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
5
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
5
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
5
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
10
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
10
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
20

Úspěšní studenti

What scholarships can you get

Tuition fees

Full-time study

Full-time study has a fixed schedule which you put together yourself.
 

Contact with the university

Follow us

Where are you going to live

Take the information and you won't miss anything

Enter your e-mail, and we will send you all the information so that you do not miss anything.