Informatics

Prospects of graduates

The graduates of the study programme Informatics, 3rd degree, obtain the PhD degree and consolidate the knowledge and skills acquired at the master's study from the perspective of scientific research, i.e. they learn to apply the methods of scientific research mainly in the field of their specialization. Graduates are able to theoretically analyse complex systems, formulate problems in an exact way, create mathematical and logical formalism for solving problems, and find effective solutions to problems formulated in this way. He is able to work in teams that do not have a computer science focus, he is able to synthesize knowledge from different areas and also to discover new knowledge. The graduate has a deep knowledge in the field of the studied problem.



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Conditions of admission

successful completion of the entrance exam



Additional information

Didactics of informatics: Aim, content, didactic means of teaching school informatics. Conceptual process in school informatics. Introduction to the methodology of pedagogical research in school informatics. Determination of teaching objectives. Graduation standard in informatics. The status of tasks in school informatics, didactic functions and formulation of tasks, creation of task systems. Evaluation of student performance, didactic tests. Creation of didactic projects. Teaching structured and object-oriented programming. Computer arithmetic. Mathematical modelling and simulation. Teaching thematic areas: Information around us, Computer systems, Information society, Areas of application of computer science (office suite, Internet, multimedia).

Database Systems: Introduction - history, basic principles. SQL basics - working with a single table, aggregation functions, nested queries, data modification, integrity constraints, table structure modification.

Combinatorial Algorithms: Introduction to oriented and unoriented graphs. Introduction to algorithms, algorithmic complexity. Sorting algorithms. Search algorithms. Positive algorithms. NP-completeness. Trees and skeletons - root trees. Finding all skeletons of a graph. The minimum skeleton problem. Distance in graphs. Problem about the shortest path. Problem about the most reliable path. Problem about the widest path. Introduction to network analysis. Distribution problems. Maximum flow problems. The problem on the cheapest flows. Pairing and allocation problems. The Chinese postman's problem. The business traveller's problem. Transportation problems.

Programming, algorithms and complexity: Algorithmic problem and its solution. Examples of concrete algorithms, writing the algorithm in an agreed formalism. Correctness of algorithm and testing of algorithms. Properties of higher type programming languages. Basic data and command structures of the PASCAL programming language. Procedures, functions, libraries of procedures and functions. Dynamic data structures, type pointer. Complexity of algorithms. Recursion, backtracking method. Algorithmic sorting problem, algorithms and complexity. Important data structures - stack, series, graph. Algorithms on graphs.



Form of entrance exam

oral



  • Apply the application for study

    01.03.2024 - 31.05.2024

  • Performance of the entrance exam

    17.06.2024 - 28.06.2024

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Additions
  • CV
  • verified copy of the degree for applicant of other universities
  • photocopy of the Diploma Supplement to candidates from other universities


Annual tuition fees
Standard length of study: cost free


The fee for admission procedure
application form: 50 €
E-application form: 40 €

Billing information

Bank: Treasury. Bank code: 8180

Account number: SK 28 8180 0000 0070 0007 8491

Variable symbol: 2996

Constant symbol: 0308

Specific symbol: birth number without slash

Recipient message: name and surname of the applicant

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Detail of the study program

 
 
The first three years of your studies could be funded by a scholarship of up to €9,000. More information

Detail of the study program

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helpdesk

Responsibility for content: RNDr. Iveta Sováková – iveta.sovakova@upjs.sk
Last update: 30.11.2023 09:43

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