DOCUMENT
Study programme
AI20d - Applied Informatics
Study
Grade of study - III. - doctoral, study form - full time, study type - Single degree study
Document type:
Description of the study programme
The name of the university
Constantine the Philosopher University in Nitra
The seat of the university
Tr. A. Hlinku 1, 949 01 Nitra I
The name of the faculty
Faculty of Natural Sciences and Informatics
The seat of the faculty
Tr. A. Hlinku 1, 949 01 Nitra I
1. - Basic information about the study programme
a) - Name of the study program and its number according to the register of study programmes.
Applied Informatics, 184138
b) - Degree of higher education and ISCED-F education degree code.
3rd degree, ISCED-F code 864
c) - Place(s) of delivery of the study programme.
Constantine the Philosopher University in Nitra, Faculty of Natural Sciences and Informatics, Tr. A. Hlinku 1, 94901 Nitra
d) - Name and number of the field of study in which higher education is obtained by completing the study programme, or a combination of two fields of study in which higher education is obtained by completing the study programme, ISCED-F codes of the field/fields.
18. Informatics, ISCED-F code of the study field 0610
e) - Type of the study programme: academically oriented, professionally oriented; translation, translation combination study programme (listing the specializations); teaching, teaching combination study programme (listing the specializations); artistic, engineering, doctoral, preparation for regulated profession, joint study programme, interdisciplinary studies.
Academically oriented
Awarded academic degree after the name
PhD.
g) - Form of study.
full time
h) - In the case of joint study programmes, cooperating institutions and the range of study obligations the student fulfills at each of the given institutions (§ 54a of the Act on Higher Education Institutions).

Study programme is not a joint study programme.

i) - Language or languages in which the study programme is delivered.
slovak
j) - Standard length of the study expressed in academic years.
3 years
k) - Capacity of the study programme (planned number of students), the actual number of applicants and students.
4
2. - Graduate profile and learning objectives
a) - The institution defines the learning objectives of the study programme such as student's abilities at the time of completion of the programme and the main learning outcomes.

The field of study 18. Informatics (Computer Science) deals with the acquisition, retrieval, transfer, collection, organization, storing, interpretation, presentation, dissemination, and use of information and knowledge in various forms (mainly text, image, sound). Graduates are expected to have knowledge related to the acquisition, storing and processing of data, information and knowledge. Supporting topics of the field of study also include mathematical basics of informatics, theoretical basics of informatics, programming, software and computer systems, creation of models and systems of computer science and information and communication technologies for various application domains.

The aim of the 3rd degree of the study programme (postgraduate study) is to prepare the graduate to be able to choose specific scientific methods of basic and applied research in the field of study and to provide them with professional knowledge in several specific areas of the field of study, which serve as a basis for conducting research and development and creating new knowledge in the field of Informatics, or, as the case may be, in collaboration with experts in didactics, including the issue of teaching Informatics. In view of the transformation of the labour market expected as a result of the introduction of elements of artificial intelligence, the topics dealing with the respective areas of artificial intelligence and its applications in various spheres of science and society are an important part of the study programme. Specific knowledge, skills and competences are defined as follows:

  • The graduate is capable of independent, critical, and analytical thinking, which he/she applies in changing conditions.
  • The graduate applies his/her own findings of theoretical analysis and his/her comprehensive scientific research when solving problems in the field of Informatics.
  • The graduate independently finds solutions to complex problems and independently presents the results of research and development to the scientific community and the professional community in the Slovak Republic and abroad.
  • The graduate is able to formulate new hypotheses and strategies for further research and development of the field of study.
  • The graduate has a practical knowledge of selected methods of scientific research and uses them in the search for new knowledge, technologies, and important system links or connections.
  • The graduate is able to formulate research results and achieve international recognition.
  • The graduate is able to coordinate a team in the relevant field.
  • The graduate is able to design, validate, and implement new research methodology and procedures based on his/her outputs and findings.
  • The graduate takes into account social, scientific and ethical aspects when formulating research aims and interpreting research results.

 

The study programme Applied Informatics provides knowledge, develops skills and builds competences in order to cover the needs of professional groups defined in accordance with the European classification of Skills, Competences, and Occupations (ESCO, https://ec.europa.eu/esco/portal/occupation) in the following structure in accordance with the indicated occupations:

The aim of the study programme for the occupations “2511 – Systems Analysts” is to prepare graduates to be able to apply knowledge related to the acquisition, storing, security and processing of data, information, and knowledge. Graduates of the postgraduate study will acquire the prerequisites for scientific work in the Applied Informatics programme with the emphasis on the application domain of Informatics, knowledge discovery and data analysis. The given application domain of Informatics is linked to the scientific focus of the department through research projects and publications in areas such as web mining, natural language processing, text mining, data management and other areas related to the application domain of Informatics (Computer Science). Graduates can apply statistical analysis techniques in order to test research hypotheses and perform data mining. For this purpose, he/she can obtain the necessary data through measurement procedures or evaluate data sources, combine data sources, extend data sources with data obtained through his/her own research, and define data quality criteria. He/she can critically analyse and synthesize research concepts, report the results of the analysis, make statistical predictions and provide a visual presentation of the data. The graduate understands the research planning process. He/she is able to compile research proposals, scientific research methodology, conduct his/her own scientific research and present the results in his/her specialization (determined by the topic of doctoral thesis and profile subjects):

  • Information Visualization,
  • Machine Learning,
  • Speech Processing,
  • Natural Language Processing,
  • Pattern Recognition,
  • Process Modelling,
  • Monitoring and Control Systems,
  • Data Management,
  • Geographic Information Systems,
  • Security, Ethical and Legal aspects in ICT,
  • Learning Analytics.


He/she brings his/her own innovative solutions to problems in methods and tools for developing systems for the collection, transfer, storing, security and processing of data, information, and knowledge. He/she is proficient in scientific methods of research and development in the field of Applied Informatics with the emphasis on the issues of knowledge discovery and data analysis. He/she applies scientific methods in solving research tasks within the projects of the department in the relevant application domain of Informatics. He/she has mastered the principles of independent and team scientific work, research methodology, scientific problem formulation, security, ethical, legal, and environmental aspects in ICT. He/she can carry out research with a high degree of creativity and independence. He/she is also experienced in transferring scientific results into practice, presenting results at scientific conferences and publishing them in scientific journals. The graduate has the latest theoretical knowledge of Applied Informatics in the relevant application domain of Informatics, systematically follows the international development of the scientific field. The graduate is proficient in scientific methods in Informatics and in related fields or domains in terms of knowledge discovery and data analysis, which he/she applies creatively in basic and applied research. He/she has the ability to formulate a scientific problem, develop a project and lead a research team. He/she scientifically researches and brings his/her own solutions to problems in the application domain of Informatics, knowledge discovery and data analysis, which is determined by the project and publication activities of the department.

The study programme is specific in its increased emphasis on data science due to the expected increase in market needs for employees in the field, which is also the focus of much of the department´s research. The profile subjects together with the topic of doctoral thesis represent an even narrower specialization within the field. The study programme is designed in such a way that after its successful completion the student will achieve the competences listed in the profile of a graduate of the study programme Applied Informatics.

b) - The institution indicates the professions for which the graduate is prepared at the time of completion and the potential of the study programme from the point of view of graduate's employability.

Graduates of the study programme will find a wide range of job opportunities in all sectors of society where highly qualified, innovative, and creative work in the field of Applied Informatics is required, both in the public and private sectors. Their work is not limited to the field of Informatics (Computer Science) as such, but they will find employment at the level of IT specialists in every area of economic practice. They can also use the acquired knowledge, skills, and competences in their own business activities and become more competitive.

In accordance with the European classification of Skills, Competences, and Occupations (https://ec.europa.eu/esco/portal/occupation) and the classification of individual occupations into the relevant levels of the Qualifications Framework according to the Internet guide of the labour market, coordinated by the Central Office of Labour, Social Affairs and Family, the following groups of occupations and the specific occupations for which the graduate is prepared have been indicated:

2511 – Systems Analysts analyse and evaluate client information technology requirements, procedures or problems, and develop and implement proposals, innovative solutions, recommendations and plans to improve current or future information systems:

  • 2511.1 – Computer Scientist
  • 2511.11 – IT research consultant
  • The study simultaneously extends knowledge, skills and competences for the occupations defined at the lower degrees of study (undergraduate and graduate degrees), which are: 2511.2 – data analyst, 2511.3 – data specialist.

 

Graduates of the study programme also find employment at domestic and foreign universities where subjects of Informatics are taught. With regard to the application domain of Informatics, knowledge discovery and data analysis, of the study programme Applied informatics, graduates will also find employment in research institutions or laboratories where knowledge related to the acquisition, storing, security and processing of data, information, and knowledge is increasingly expected.

c) - Relevant external stakeholders who have provided the statement or a favorable opinion on the compliance of the acquired qualification with the sector-specific requirements for the profession.

This is not a regulated profession. Comments on the compliance of the acquired qualification with the sector-specific requirements for the performance of the profession were provided by:

  • Slovak Telekom, a. s.
  • Muehlbauer Automation, s.r.o.
  • Muehlbauer Technologies, s.r.o.
  • NTT Slovakia, s.r.o.

 

Foreign expert in the field of informatics, who evaluated the study programme:

  • prof. RNDr. Peter Mikulecký, Ph.D., Department of Information Technology FIM UHK, Hradec Králové, Czech Republic


The views of external stakeholders are included in the annexes of the SP file. More detailed documents are available on request at the department of informatics.

3. - Employability
a) - Evaluation of the study programme graduates employability.

Graduates of the study programme will find wide application in practically all branches of society, which require highly qualified, innovative, creative, scientific-research and / or professional work in the field of applied informatics, both in the public and private sector.

Due to the fact that the first students started in the academic year 2020/2021, there are currently no graduates in this study programme.

b) - If applicable, indicate the successful graduates of the study programme.

Due to the fact that the first students started in the academic year 2020/2021, there are currently no graduates in this study programme.

c) - Evaluation of the study programme quality by employers (feedback).
  • Slovak Telekom, a. s.
  • Muehlbauer Automation, s.r.o.
  • Muehlbauer Technologies, s.r.o.
  • NTT Slovakia, s.r.o.

 

Foreign expert in the field of informatics, who evaluated the study programme:

  • prof. RNDr. Peter Mikulecký, Ph.D., Department of Information Technology FIM UHK, Hradec Králové, Czech Republic
4. - Structure and content of the study programme
a) - The institution describes the rules for the design of study plans within the study programme.

Doctoral study programme at the faculty is a study programme of higher education of the third level, which is carried out pursuant to Article 54 of the Act. It is carried out in accordance with the Decree of the Ministry of Education of the Slovak Republic No. 614/2002 Coll. on the credit system as amended by the Decree of the Ministry of Education, Science, Research and Sport of the Slovak Republic No. 155/2013 Coll.

Doctoral studies in a given field of study are monitored and evaluated by a departmental committee established in accordance with the Study Regulations for Doctoral Studies at FNSaI. The study, pursuant to Article 65 par. 2 of the Higher Education Act, does not exceed the standard length of study determined by the decision on granting accreditation to the relevant study programme by more than two years, while the study is carried out according to the student's study plan under the guidance of a supervisor.

In accordance with the Dublin descriptors and the National Qualifications Framework, graduates of the study programmes will be awarded level 8 qualifications.

The ESCO classification, which identifies and categorizes skills, competences, and occupations relevant for the EU labour market, as well as for education and training, has been primarily applied in establishing the study programme. As the national documents at the time of establishing the study programme did not provide a sufficiently wide range of occupations and did not correspond to the current qualification requirements of employers, they only served as supporting material (National Qualifications Framework, Register of Competences, Register of Professions, and the Qualifications Framework of the Internet Guide to the Labour Market).

The study programme is structured in such a way as to provide students with fundamental knowledge, skills, and competences in the application domain of Informatics, knowledge discovery and data analysis, through compulsory subjects, which can then be extended and specialized through profile subjects and the topic of doctoral thesis.

The contents of the study programme subjects reflect the experience of university teachers expressed through their project and publication activities, recommendations of experts from practice, as well as foreign supervisors of doctoral study in the field of Informatics (Computer science).

b) - The institution compiles the recommended study plans for individual study paths.

The study programme, the recommended study plan, the individual study plan of the doctoral student and the standard length of study are set according to the Higher Education Act. The study programme follows the rules of the European system for the transfer and accumulation of credits and the student workload per academic year, in accordance with the Study Regulations for Doctoral Studies. 

The study plan is defined in Article 7 of the Study Regulations for Doctoral Studies of the FNSaI.

The study plan for the entire study is prepared by the supervisor within one month after the doctoral student starts his/her studies. The study plan is approved by the chair of the doctoral study departmental committee and is part of the doctoral student's personal file.

The study plan consists of a study part, a pedagogical part and a scientific part.

  • The study part of the study plan consists of a set of activities related to the doctoral student's self-study, participation in lectures and seminars, participation in domestic and foreign internships, etc. Compulsory and compulsory elective courses are prescribed to the student on the basis of the requirements defined in the graduate profile of the study programme.
  • The pedagogical part of the study plan consists of tasks related to the performance of teaching activities. The doctoral student's pedagogical activity of no more than four hours per week is usually carried out at the department to which the doctoral student is assigned.
  • The scientific part consists of activities related to individual or team scientific work. The doctoral student's research activities shall be evaluated in particular on the basis of the doctoral student's publishing activities, active participation in conferences, participation in scientific projects and recognition of his/her results by the scientific community, and other research, development and other creative activities at the workplace as authorised by the supervisor and the head of the department.


Control of the implementation of the study plan is the subject of the doctoral student's annual evaluation.

c) - The study plan generally states:

The recommended study plan in the structure of compulsory, compulsory elective and optional courses, courses of state examinations is given in a separate annex.

The methods and forms of teaching, course syllabi, including information on profile courses, data on student workload (“scope” for individual courses and learning activities separately), course syllabi, conditions for awarding assessments and obtaining credits, as well as recommended literature are given in the course information sheets.

 

The doctoral student obtains credits separately for activities during his/her studies:

  1. study activities (min. 20 credits and max. 40 credits),
  2. teaching activities (min. 30 credits),
  3. scientific (research and development) activities (min. 60 credits),
  4. successful completion of the dissertation examination, including the defence of the written dissertation (20 credits),
  5. defence of the dissertation (30 credits).


Credits for study activities, teaching activities, research and development activities are the minimum values that a doctoral student must obtain in each part of his/her studies in order to successfully complete his/her studies. The condition for the proper completion of the studies is the obtaining of the necessary number of credits according to the standard length of studies as defined by the Higher Education Act. In case that a doctoral student has obtained more than 40 credits in the study part, a maximum of 40 credits shall be counted towards the number of credits according to Article 1, par. 5 of the Study Regulations for Doctoral Studies at the FNSaI.

 

Study activities are based on profile subjects (PrP) so that the compulsory subjects:

  • Theory and Methodology of Applied Informatics (PrP),
  • Mathematical Principles of Informatics (PrP),
  • ESP for Doctoral Studies 1,

provide students with fundamental knowledge, skills and competences from the application domain of informatics knowledge discovery and data analysis, which can subsequently be diffused and specialized through compulsory optional subjects and their doctoral thesis, which is directly related to at least one subject of specialization (PrP):

  • Information Visualization (PrP),
  • Machine Learning (PrP),
  • Speech Processing (PRP),
  • Natural Language Processing (PRP),
  • Pattern Recognition (PrP),
  • Process Modelling (PrP),
  • Monitoring and Control Systems (PRP),
  • Data Management (PrP),
  • Geographic Information Systems (PRP),
  • Security, Ethical, and Legal Aspects in ICT (PRP),
  • Learning Analytics (PrP),
  • Study activities – 1st year of study,
  • Study activities – 2nd year of study,
  • Study activities – 3rd year of study,
  • Study activities – 4th year of study (in case of extra length of study),
  • Study activities – 5th year of study (in case of extra length of study).

 

The student specialization is ensured by the topic of the doctoral thesis and the completion of subjects related to it, as well as study, pedagogical, and particularly scientific activities in the field of the relevant specialization.

d) - The institution states the number of credits, the achievement of which is a condition for proper completion of studies and other requirements that the student must meet within the study programme and for its proper completion, including the requirements for state examinations, rules for re-study and rules for the extension, interruption of study.
The standard length of study for a doctoral study programme in the full-time form of study is three academic years. Number of credits, the achievement of which is a condition for the proper completion of studies, for a doctoral study programme in the full-time form of study with a standard length of study, for three academic years is 180 credits. Pursuant to Article 65 par. 2 of the Act, studies may not exceed the standard length of study determined by the decision granting accreditation to the relevant study programme by more than two years. The conditions for the preparation of the dissertation defence as well as the course of the defence are specified in Articles 11 and 12 of the Study Regulations for Doctoral Studies at the FNSaI. In accordance with Article 8 of the Study Regulations of the CPU the supervisor provides his/her opinion on the doctoral student's request for interruption of studies. Further conditions for interruption of studies are defined in Article 15 of the Study Regulations of the CPU and Article 13 of the Study Regulations for Doctoral Studies at the FNSaI.
e) - For individual study plans, the institution states the requirements for completing the individual parts of the study programme and the student's progress within the study programme in the given structure:
  • number of credits for compulsory courses required for proper completion of studies/completion of a part of studies: 15 credits + 20 credits for doctoral qualifying exam,
  • number of credits for compulsory optional courses required for the proper completion of studies/completion of a part of studies: min. 5 credits (max. 25 credits) + min. 30 credits for pedagogical activities + min. 60 credits for R&D activities,
  • number of credits for optional courses required for the proper completion of studies/completion of a part of studies: not specified,
  • number of credits required for the completion of studies/completion of a part of the studies for the common foundations and for the relevant specialization, in the case of a teaching combination study programme or a translation combination study programme: not applicable for the given study programme,
  • number of credits for the final thesis and the defence of the final thesis required for the proper completion of studies: 30 credits for doctoral thesis defence,
  • number of credits for professional practice required for the proper completion of studies/completion of a part of studies: not applicable for the given study programme,
  • number of credits required for the proper completion of studies/completion of a part of the studies for project work with the indication of relevant courses in engineering study programmes: not applicable for the given study programme,
  • number of credits required for the proper completion of studies/completion of a part of the studies for artistic performances in addition to the final thesis in art study programmes: not applicable for the given study programme.
f) - The institution describes the rules for verification of learning outcomes, students assessment and the possibilities of appealing against the assessment.

Clear criteria, rules and conditions for passing the course, taking into account the verification of learning outcomes and the fulfilment of the objectives of the study programme are clearly defined in the infosheet and known to the doctoral student in advance (infosheet availability in the AIS, the obligation to announce the assessment rules by the lecturers at the beginning of the semester).

According to the superior Study Regulations of the CPU, a doctoral student must fulfil the conditions for obtaining credits for a course completed by examination in the regular exam date or in a resit (maximum two resits possible) by the end of the semester in which he/she enrolled in the course. In accordance with the Decree on credit studies, a compulsory course which has been unsuccessfully completed may be re-enrolled during the course of study.

A student may also re-enrol in a compulsory elective course or elective course that he/she has failed or may choose another compulsory elective course or elective course instead. 

The student shall be informed in due time of the dates of assessment and possible resit dates, both for interim assessments and for all examination dates.

The dates of examinations shall be set by the teacher in a reasonable number and timing no later than two weeks before the end of the lecture period of the semester in question. The student has the right to withdraw from the examination date not later than one day before the date for which he/she has registered.

The student also has the right not to accept the assessment of the examination and to register for the relevant resit examination date. In justified cases, the student has the right to request in writing to the Dean of the Faculty a board examination. Based on the proposal of the head of the department providing the relevant course, the dean shall determine the date of the examination and the three-member examination board, usually consisting of the lecturer, the person responsible for the study programme (the chair of the board) and the head of the department concerned.

Further details of the conditions for taking courses, awarding and recording assessments and obtaining credits are regulated by the Study Regulations of the CPU in Nitra.

 

A specific feature of the verification of learning outcomes in the case of doctoral studies is the annual evaluation of the doctoral student by the committee, which is specified in Article 8 of the Study Regulations for Doctoral Studies. The evaluation committee shall, on the basis of the results of the doctoral student's studies, clearly state whether it recommends the continuation of the doctoral student's studies in the following academic year. In the event of a negative opinion, it shall give reasons for its decision.

Every doctoral student has the right to feedback on the assessments provided for all parts of the doctoral student's interim assessment or examinations or annual evaluation.

As part of the periodic monitoring in the form of anonymous questionnaires, the student has the right to comment on the processes of lectures provision, the processes of providing assessments, as well as the professional and didactic competences of the lecturers. The details are set out in Internal Guideline no. 8/2018 Principles of evaluation of education and teachers by students of the university.

 

In cases where a student has been expelled from his/her studies, he/she may apply for a review of the decision to expel him/her from the studies. The dean may grant the request or forward the request to the rector within 15 days from the date of its receipt, together with the attached file material and a written opinion on the applicant's comments and objections.

g) - Conditions for recognition of studies or a part of studies.

Based on a written request to the Dean of the Faculty, the doctoral student may apply for recognition of credits and assessments, whereby the following categories are distinguished: recognition of assessments from completed motilities and internships within exchange study programmes, recognition of credits and assessments obtained from the student's previous, unsuccessfully completed studies, or recognition of credits and assessments of a student applying for transfer (from another university or in case of change of study programme).

The rules of transfer are defined by the Study Regulations of the CPU in Nitra, as well as by the organisational guidelines of the FNSaI of the CPU in Nitra, namely: the Organisational Guideline on the Recognition of Credits and Assessments from Previous Studies,

Organisational Guidelines on the Recognition of Credits and Assessments from Mobility.

The guidelines are discussed in the FNSaI Academic Senate, publicly available at https://www.fpv.ukf.sk/sk/fakulta/uradna-tabula/usmernenia-platne-na-fakulte and known to students in advance before applying for mobility or internship.

h) - The institution states the topics of final theses of the study programme (or a link to the list).

List of currently pursuing doctoral theses:

  • Knowledge Extraction from Unstructured Texts for Classification Tasks Using Neural Networks
  • Application of Selected Knowledge Discovery Methods in Learning Analytics
  • Modelling the Security of IoT Networks using Petri Nets
  • Automatic Error Detection and Classification in Neural Machine Translation
  • Using WordNet for Text Classification Tasks in Natural Language Processing
  • Quality Estimation for Machine Translation
  • Optimizing the Content and Structure of the Disclosures under Pillar 3 by Modelling their Use by Stakeholders of Commercial Bank
  • Application of Selected Distributed Machine Learning Algorithms in Big Data Domain
i) - The institution describes or refers to:

Rules for the assignment, processing, opposition, defence and evaluation of final theses in the study programme

The topics of dissertation theses for the respective academic year are published by the faculty at least two months before the deadline for the submission of applications for doctoral studies. The name of the field of study, the name of the study programme, the name of the supervisor and the form of study (full-time, part-time) are indicated for each topic. The thesis topics together with the above mentioned requirements are published via the faculty's website. Applicants shall apply for studies electronically or in writing in accordance with the instructions published on the faculty's website. The dean shall invite the applicant to the entrance examination at least fourteen days before the examination, and shall inform him/her of the content of the examination. The propositions of the entrance examination are published on the Faculty's website.

 

Dissertation topics are provided by potential supervisors who are approved by the Faculty's Scientific Council. They propose dissertation topics usually in relation to a project within which the doctoral student may carry out research, development or other creative activities.

After a successful admission procedure, the admitted applicant continues to be professionally guided and supervised by a supervisor or consultant throughout his/her studies. With the doctoral qualifying exam and the defence of the research proposal, the doctoral student demonstrates that he or she has profound knowledge in the relevant field of research, is capable of independently acquiring and presenting new knowledge of science and practice, and is able to apply the acquired knowledge in a creative way in practice and research. In the research proposal, the doctoral student shall also indicate the state of development of the doctoral thesis, its further direction in the form of a PhD. thesis project, as well as the results of research, development and other creative activities obtained during the doctoral studies.

Under the supervision of the supervisor, the doctoral student shall prepare the dissertation thesis in accordance with the Guideline no. 13/2021 on final, rigorous and habilitation theses. The defence of doctoral thesis itself is public, its preparation and course are characterised by Article 11 and especially paragraph 3 of Article 12 of the Study Regulations for Doctoral Studies at FNSaI.

 

At the dissertation defence, the chair of the examination committee shall give a brief curriculum vitae of the doctoral student, provide information on the topic of the dissertation, essential information from the supervisor's opinion and any written statement from the head of the doctoral student's department, an overview of the doctoral student's scientific or artistic works and the responses to these outputs. The doctoral student shall briefly state the content of the dissertation, its concept framework, results and contribution. The opponents (at least two) shall present the essential parts of their reports; in the absence of an opponent, the chair or a member of the examination committee designated by him/her shall read his/her report in its entirety. The doctoral student shall provide a view on the opinions of the opponents, comment on all the objections and comments made and answer their questions. The chair of the committee shall open a discussion in which all present may participate.

 

Anyone who is interested in the subject under study and the defence of the dissertation may submit their comments to the chair of the examining committee at least one week before the defence or may make their comments orally at the defence. At the defence of the doctoral thesis, the doctoral student shall take a position on such statements or remarks.

The discussion verifies the correctness, validity, scientific originality and relevance of the findings contained in the dissertation. It is the doctoral student's responsibility to respond to all questions raised during the discussion. The result of the dissertation defence shall be announced by the chair of the committee at a public meeting.

 

Opportunities and procedures for participation in student mobility

Pursuant to Article 8 of the Study Regulations of the CPU, the supervisor submits a proposal to the Dean of the FNSaI for a doctoral student's study stay in other domestic or foreign scientific research and university departments.  

Each faculty department has a designated departmental mobility coordinator who provides initial information about mobility opportunities to students of the respective study programme and at the same time provides advice and assistance in the administration of the mobility application. Departmental coordinators are managed and guided by the faculty mobility coordinator -the Vice Dean for External Relations and Development.

The conditions for academic mobility within exchange programmes (Erasmus + or offered by SAIA) are defined in the Study Regulations of the CPU in Nitra (Art. 20), the Strategy of Internationalisation of the CPU in Nitra for the years 2019-2025 (available at: https://www.ukf.sk/images/univerzita/medzinarodne_vztahy/Strategia_internacionalizacie_UKF_SK_web.pdf) and Organisational Guidelines on the Recognition of Credits and Assessments from Mobility for students of the FNSaI (available at: https://www.fpvai.ukf.sk/images/uradna_tabula/usmernenia/1_Org_usmernenie_mobilita.pdf ).

 

The possibilities and procedures for participation in student mobility are regulated by the internal Guideline on the implementation of mobility within the Erasmus+ programme, other scholarship programmes and bilateral agreements

 

Information for students about mobility at CPU in Nitra is available at: https://www.ukf.sk/granty/erasmus/erasmus-bilaterarne-dohody, https://www.ukf.sk/granty/erasmus or https://www.ukf.sk/granty/ine-mobilitne-programy

 

Rules for adherence to academic ethics and rules for drawing consequences

CPU in Nitra has rules of compliance with academic ethics embodied in the Code of Ethics of CPU in Nitra, as well as in the Study Regulations of CPU. The Code of Ethics of the CPU in Nitra defines some principles of professional ethics in teaching and creative activities. Consideration of complaints concerning compliance with the Code of Ethics falls within the competence of the Ethics Committee of the CPU in Nitra.

The full text of the Code of Ethics (as of 26.9.2016) is available at:

https://www.ukf.sk/images/univerzita/O_univerzite/2016-Eticky-kodex-UKF.pdf as well as the Statute of the Ethics Committee of the CPU in Nitra at https://www.ukf.sk/images/univerzita/organy_univerzity/2017-Statut_etickej_komisie.pdf.

Prevention and detection of potential plagiarism in students' theses is addressed through the obligation to send theses for originality checking via AIS. Offences related to unethical activities are dealt with by the Disciplinary Committee for Students in accordance with the applicable regulations (Disciplinary Regulations for Students of the FNSaI, Rules of Procedure of the Disciplinary Committee of the FNSaI), as well as the Disciplinary Regulations of the CPU for Students, Rules of Procedure of the Disciplinary Committee of the CPU for Students (https://www.fpvai.ukf.sk/sk/fakulta/samospravne-organy/disciplinarna-komisia, https://www.fpvai.ukf.sk/sk/fakulta/uradna-tabula/vnutorne-predpisy-fakulty).

 

Procedures applicable to students with special needs

Counselling and activity support services for students with special needs are provided by the CPU Student Centre, which also provides career, financial, legal and health counselling to other students at the university. In this way, the University creates a generally accessible academic environment and appropriate study conditions for all its students.

Procedures aimed at supporting students with special needs are regulated by the internal regulation aimed at supporting and ensuring a generally accessible academic environment for students with special needs 28/2015 Internal guideline on ensuring a generally accessible academic environment for students with special needs

Support services are provided by the CPU Centre for Students (https://www.ukf.sk/sc) or

https://www.ukf.sk/sc/poradenstvo-a-podpora-pre-studentov-so-specifickymi-potrebami).

 

With its statutes, regulations and other regulations the CPU in Nitra ensures optimal conditions for the study of both students without and students with specific needs.

http://www.centrumpodpory.pf.ukf.sk

Support activities for students are provided in the centre directly by the teachers of the study programme of special pedagogy and pedagogy of persons with learning disabilities - counselling.

The counselling also includes work by the faculty coordinator for students with specific needs (the Vice Dean for Education at FNSaI), as well as a departmental counsellor, the so-called tutor, who provide students with advice and consultation, especially in the field of study. The above-mentioned persons assess the possibilities / limitations / and level of risks of studying the respective study programme for students with specific needs. They propose specific reasonable adjustments and support services for the student with specific needs and carry out counselling and mediation activities. They participate in the development of a special hybrid system of education and support for students with specific needs.

 

Procedures for filing complaints and appeals by students

Any student of the CPU in Nitra may approach the supervisor, the head of the department, the study department of the faculty, the dean's office, the Disciplinary Committee of the FNSaI of the CPU in Nitra, the Ethics Committee of the CPU, or the Department of Control at the CPU in Nitra, depending on the nature of the complaints or appeals.

The procedures for filing and investigating complaints and petitions are regulated by internal Guideline No. 12/2017 on Complaints and Petitions at the CPU in Nitra (https://www.ukf.sk/intranet/vnutorne-predpisy/73-moja-ukf/3072-vnutorne-predpisy-2017)

The review of student and applicant complaints and appeals is carried out at the level of the Rector's Office by the Department of Control (https://www.ukf.sk/univerzita/vnutorne-predpisy/vnutorne-predpisy-univerzity/14-univerzita/2198-organizacny-poriadok-ukf).

5. - Course information sheets of the study programme
In the structure according to Decree no. 614/2002 Coll.

Course information sheets of the study programme form a separate annex to the description of the study programme.

6. - Current academic year plan and current schedule
(or hyperlink).

The schedule of the academic year is regularly updated and available at https://www.ukf.sk/studium/organizacia-studia/harmonogram-akademickeho-roka. The timetables are available in AIS to every member of the CPU academic community. The individual study plan for the entire study is prepared by the supervisor within one month after the commencement of doctoral studies. The study plan is approved by the chair of the doctoral research committee. The individual study plan of the doctoral student is updated every year based on the fulfilment and recommendations of the committee.

7. - Persons responsible for the study programme
a) - A person responsible for the delivery, development, and quality of the study programme (indicating the position and contact details).

prof. RNDr. Michal Munk, PhD., position: professor, e-mail: mmunk@ukf.sk, https://www.portalvs.sk/regzam/detail/10622

b) - List of persons responsible for the profile courses of the study programme with the assignment to the course and provided with a link to the central Register of university staff and with contact details (they may also be listed in the study plan).
  • prof. RNDr. Michal Munk, PhD., position: professor, mmunk@ukf.sk, https://www.portalvs.sk/regzam/detail/10622, Theory and Methodology of Applied Informatics, Mathematical Principles of Informatics, Machine Learning, Data Management
  • prof. RNDr. Daša Munková, PhD., position: professor, dmunkova@ukf.sk, https://www.portalvs.sk/regzam/detail/10633, Natural Language Processing, Speech Processing
  • doc. Ing. Zoltán Balogh, PhD., position: associate professor, zbalogh@ukf.sk, https://www.portalvs.sk/regzam/detail/10634, Process Modelling, Security, Ethical, and Legal Aspects in ICT
  • doc. Mgr. Martin Drlík, PhD., position: associate professor, mdrlik@ukf.sk, https://www.portalvs.sk/regzam/detail/10494, Data Management, Learning Analytics
  • doc. PaedDr. Jozef Kapusta, PhD., position: associate professor, jkapusta@ukf.sk, https://www.portalvs.sk/regzam/detail/10521, Theory and Methodology of Applied Informatics, Machine Learning, Pattern Recognition
  • prof. Mgr. Štefan Beňuš, PhD., position: professor, sbenus@ukf.sk, https://www.portalvs.sk/regzam/detail/10425, Speech Processing, Natural Language Processing
  • prof. RNDr. Martin Boltižiar, PhD., position: professor, mboltiziar@ukf.sk, https://www.portalvs.sk/regzam/detail/10723, Geographic Information Systems              
  • prof. Ing. Milan Turčáni, CSc., position: professor, mturcani@ukf.sk, https://www.portalvs.sk/regzam/detail/10499, Security, Ethical, and Legal Aspects in ICT
  • doc. RNDr. Mária Kmeťová, PhD., position: associate professor, mkmetova@ukf.sk, https://www.portalvs.sk/regzam/detail/10459, Information Visualization
  • doc. Ing. Štefan Koprda, PhD., position: associate professor, skoprda@ukf.sk, https://www.portalvs.sk/regzam/detail/10650, Monitoring and Control Systems, Process Modelling
  • doc. RNDr. Gabriela Lovászová, PhD., position: associate professor, glovaszova@ukf.sk, https://www.portalvs.sk/regzam/detail/10496, Mathematical Principles of Informatics, Learning Analytics
  • doc. PaedDr. Martin Magdin, Ph.D., position: associate professor, mmagdin@ukf.sk, https://www.portalvs.sk/regzam/detail/10823, Pattern Recognition, Monitoring and Control Systems
  • doc. RNDr. Matej Vojtek, PhD., position: associate professor, mvojtek@ukf.sk, https://www.portalvs.sk/regzam/detail/21299, Geographic Information Systems
c) - Reference to the research/art/teacher profiles of persons responsible for the profile courses of the study programme.

Research/art/teacher profiles of teachers responsible for the profile subjects - evaluated persons (five teachers responsible for the profile subjects) can be found in a separate appendix. The research/art/teacher profiles of other teachers are available at the faculty.

d) - List of teachers of the study programme with the assignment to the course and provided with a link to the central Register of university staff and with contact details (may be a part of the study plan).
  • prof. RNDr. Michal Munk, PhD., position: professor, mmunk@ukf.sk, https://www.portalvs.sk/regzam/detail/10622, Theory and Methodology of Applied Informatics, Mathematical Principles of Informatics, Machine Learning, Data Management
  • prof. RNDr. Daša Munková, PhD., position: professor, dmunkova@ukf.sk, https://www.portalvs.sk/regzam/detail/10633, Natural Language Processing, Speech Processing
  • doc. Ing. Zoltán Balogh, PhD., position: associate professor, zbalogh@ukf.sk, https://www.portalvs.sk/regzam/detail/10634, Process Modelling, Security, Ethical, and Legal Aspects in ICT
  • doc. Mgr. Martin Drlík, PhD., position: associate professor, mdrlik@ukf.sk, https://www.portalvs.sk/regzam/detail/10494, Data Management, Learning Analytics
  • doc. PaedDr. Jozef Kapusta, PhD., position: associate professor, jkapusta@ukf.sk, https://www.portalvs.sk/regzam/detail/10521, Theory and Methodology of Applied Informatics, Machine Learning, Pattern Recognition
  • prof. Mgr. Štefan Beňuš, PhD., position: professor, sbenus@ukf.sk, https://www.portalvs.sk/regzam/detail/10425, Speech Processing, Natural Language Processing
  • prof. RNDr. Martin Boltižiar, PhD., position: professor, mboltiziar@ukf.sk, https://www.portalvs.sk/regzam/detail/10723, Geographic Information Systems             
  • prof. Ing. Milan Turčáni, CSc., position: professor, mturcani@ukf.sk, https://www.portalvs.sk/regzam/detail/10499, Security, Ethical, and Legal Aspects in ICT
  • doc. RNDr. Mária Kmeťová, PhD., position: associate professor, mkmetova@ukf.sk, https://www.portalvs.sk/regzam/detail/10459, Information Visualization
  • doc. Ing. Štefan Koprda, PhD., position: associate professor, skoprda@ukf.sk, https://www.portalvs.sk/regzam/detail/10650, Monitoring and Control Systems, Process Modelling
  • doc. RNDr. Gabriela Lovászová, PhD., position: associate professor, glovaszova@ukf.sk, https://www.portalvs.sk/regzam/detail/10496, Mathematical Principles of Informatics, Learning Analytics
  • doc. PaedDr. Martin Magdin, Ph.D., position: associate professor, mmagdin@ukf.sk, https://www.portalvs.sk/regzam/detail/10823, Pattern Recognition, Monitoring and Control Systems
  • doc. RNDr. Matej Vojtek, PhD., position: associate professor, mvojtek@ukf.sk, https://www.portalvs.sk/regzam/detail/21299, Geographic Information Systems
  • Mgr. Jana Kamenická, PhD., jkamenická@ukf.sk, https://www.portalvs.sk/regzam/detail/33984, ESP for Doctoral Studies 1
e) - List of the supervisors of final theses with the assignment to topics (indicating the contact details).

The topics of doctoral theses are regularly updated and published in the Academic Information System of the university (https://ais2.ukf.sk/ais/start.do).

List of all currently pursuing doctoral theses (the first students enrolled in the academic year 2020/2021):

  • doc. PaedDr. Jozef Kapusta, PhD., Knowledge Extraction from Unstructured Texts for Classification Tasks Using Neural Networks, 2020/2021, jkapusta@ukf.sk
  • doc. Mgr. Martin Drlík, PhD., Application of Selected Knowledge Discovery Methods in Learning Analytics, 2020/2021, mdrlik@ukf.sk
  • doc. Ing. Zoltán Balogh, PhD., Modeling the Security of IoT Networks using Petri Nets, 2020/2021, zbalogh@ukf.sk
  • prof. RNDr. Daša Munková, PhD., Automatic Error Detection and Classification in Neural Machine Translation, 2020/2021, dmunkova@ukf.sk
  • doc. PaedDr. Jozef Kapusta, PhD., Using WordNet for Text Classification Tasks in Natural Language Processing, 2021/2022, jkapusta@ukf.sk
  • prof. RNDr. Daša Munková, PhD., Quality Estimation for Machine Translation, 2021/2022, dmunkova@ukf.sk
  • prof. RNDr. Michal Munk, PhD., Optimizing the Content and Structure of the Disclosures under Pillar 3 by Modelling their Use by Stakeholders of Commercial Bank, 2021/2022, mmunk@ukf.sk
  • doc. Mgr. Martin Drlík, PhD., Application of Selected Distributed Machine Learning Algorithms in Big Data Domain, 2021/2022, mdrlik@ukf.sk
f) - Reference to the research/art/teacher profiles of the supervisors of final theses.

The research/art/teacher profiles of the supervisors are accessible in the Academic Information System of the university (https://ais2.ukf.sk/ais/start.do).

g) - Student representatives representing the interests of students of the study programme (name and contact details).

Mgr. Valerii Volodymyrovych Popovych, valerii.volodymyrovych.popovych@ukf.sk

Mgr. Lucia Benková, lucia.benkova@ukf.sk

h) - Study advisor of the study programme (indicating contact details and information on the access to counseling and on the schedule of consultations).

The study programme of doctoral studies in a given field of study is monitored and evaluated by a departmental committee established in accordance with the Study Regulations for Doctoral Studies at the FNSaI. The function of the study advisor in matters of the doctoral student's studies and scientific direction is performed by the doctoral thesis supervisor, whose duties are specified in Article 4 of the Study Regulations for Doctoral Studies at the FNSaI. In case that the doctoral supervisor is unable to fulfil his/her duties, for example, due to long-term absence, termination of employment or other serious reasons, the dean, based on the proposal of the chair of the departmental committee, shall appoint another supervisor for the doctoral student.

In cases where the study is carried out in cooperation with an external educational institution, the dean also appoints a dissertation consultant who is a teaching staff member of the faculty.

i) - Other supporting staff of the study programme – assigned study officer, career counselor, administration, accommodation department, etc. (with contact details).

FNSaI has staff assigned to individual departments: the FNS Study Department for Bachelor's, Master's, Doctoral and Extension Students, the Department for Scientific Research Activities, which are adequately staffed, professionally and financially provided for.

The FNSaI Study Department cooperates closely with the Rector's Department of Social Scholarships of CPU in the administration and provision of data relevant to the awarding of scholarships, as well as with the Secretariat of the CPU Student Housing in advising on the provision of accommodation for students: https://www.ukf.sk/studium/sluzby-studentom

Professional support staff provide tutoring, counselling, administrative and other support services and related activities for students. Responsibilities and authority are regulated in the Faculty's organizational regulations:

https://www.fpvai.ukf.sk/images/uradna_tabula/vnutorne_predpisy/FPV_organiz_poriadok_1_9_2019.pdf

 

Advice for students

https://www.ukf.sk/studium/poradenstvo-pre-studentov

 

Study officers of the FNSaI Study Department

Mgr. Jana Ďuriačová, jduriacova@ukf.sk, doctoral studies, extension studies

 

Administrator of AIS + helpdesk

Ing. Zuzana Ďurfinová, zdurfinova@ukf.sk

 

Support centre for students with specific needs

PaedDr. Vladimíra Polačková, +421 37 6408 246, vpolackova@ukf.sk,

 

Student centre - centre manager Mgr. Miroslav Tvrdík, PhD. – tel. +421 37 6408 140, email: mtvrdik@ukf.sk 

https://www.ukf.sk/fakulty-a-sucasti/studentske-centrum

 

Student services

https://www.ukf.sk/studium/sluzby-studentom

 

ACCOMMODATION

Student housing – Director Mgr. Peter Hrobár, Secretary: tel/fax: +421 37 6408 168; email: kabelova@ukf.sk

https://www.ukf.sk/fakulty-a-sucasti/studenske-domovy

 

CANTEEN AND CAFETERIAS

University canteen - CPU canteen system - ordering internet portal - https://www.stravovanie.ukf.sk/ - UC currently has service points and cafeterias in five buildings of the university

https://www.ukf.sk/fakulty-a-sucasti/univerzitna-jedalen

 

SCHOLARSHIPS

Ing. Dana Buchová, +421 37 6408 161, dbuchova@ukf.sk

https://www.ukf.sk/stipendia

 

IT SUPPORT ALSO FOR UNIVERSITY STUDENTS

Centre of Information and Communication Technologies CPU

https://www.ukf.sk/fakulty-a-sucasti/centrum-informacnych-a-komunikacnych-technologii/28-univerzita/pracoviska/318-informacne-systemy-v-sprave-cikt

 

OTHER SERVICES

University Library

https://www.uk.ukf.sk/sk/

 

University Pastoral Centre

http://www.upcnitra.sk/

8. - Spatial, material, and technical provision of the study programme and support
a) - List and characteristics of the study programme classrooms and their technical equipment with the assignment to learning outcomes and courses (laboratories, design and art studios, studios, workshops, interpreting booths, clinics, priest seminaries, science and technology parks, technology incubators, school enterprises, practice centers, training schools, classroom-training facilities, sports halls, swimming pools, sports grounds).

The following specialized classrooms and laboratories are available to cover the needs of the study programme:

  • Data science laboratory (S109) - the laboratory, with the capacity of 20 seats, is designed for teaching subjects focused on data science and artificial intelligence. Powerful PCs and related software for 20 devices are available.
  • Programming and software development laboratory (S110) - the laboratory provides 20 seats for students and enables the training (acquisition) of practical skills from subjects focused on software development for desktop, server, and mobile technologies.
  • Jobs laboratory (B113) - the laboratory provides Apple technology with 15 desktops and 15 tablets and iPhones for teaching. It is primarily intended for working with multimedia and developing mobile applications, secondarily for graphic applications and game development.
  • Computer networks laboratory (B114) - the laboratory is technically adapted for teaching operating systems and computer networks, within which a double network infrastructure is built in, physically separate from the university computer network. Students have physical access to laboratory network hardware (switches, routers). Computers performance and their configurations allow students to test and use virtualization tools. The laboratory provides 20 seats.
  • Internet of things Laboratory (B112) - the laboratory provides space for work with microprocessors Arduino, Raspberry Pi, etc., which compose the core of Internet of Things (IoT) devices. Simultaneously, it is equipped with electrical equipment, sets of sensors and communication modules enabling communication within different types of networks. The laboratory is designed primarily for teaching subjects focused on computer systems, IoT, and security and provides 12 seats.
  • The PLC laboratory (A16) with a capacity of 8 student seats serves students to become acquainted with the problems of designing and programming industrial equipment and subsequently for the work and programming of PLCs controlling these devices.
  • Specialized classroom for teaching application software (A226) is designed primarily for teaching students of other scientific fields of the university and focuses on working with office package and Windows operating system, LMS Moodle system, content management systems, etc. The classroom also provides space for teaching didactical (pedagogical) subjects. Its specificity is the installation of a set of applications available and used by teachers at secondary and primary schools. The classroom provides 20 student seats.
  • Specialized classroom designed for team activities (B25) allows flexible adjustment of furniture arrangement and provides 20 seats and also laptops for students, which allows in this classroom to be conducted not only standard teaching lessons, but also teaching subjects that require students’ teamwork.
  • The 3D printing laboratory serves as a space enabling the use of 3D printing services. The department currently has 4 devices enabling 3D printing in various qualities. These devices are used in subjects focused on modelling or creating components of their own ICT devices.

 

Each classroom / laboratory is equipped with a data projector. Complete coverage of the wireless network (Wifi) is ensured in each classroom or laboratory (and also at the premises of the university).

Teaching in the form of lectures is conducted in the lecture rooms of FNSaI CPU in Nitra with a capacity of 80-200 students.

Each employee of the department has at least one laptop and tablets available to support full-time teaching.

 

In the field of software equipment, the department focuses mainly on open-source software and freely available systems for academia. Within the server infrastructure, the department has two in-house servers under the management of its employees and a series of cloud servers, which are taken care of by the university workplace.

 

The primary role of servers is to provide virtualization services and solve parallel tasks within subjects focused on programming and data processing.

 

The department is part of the following educational and certification programmes:

  • Oracle Academy,
  • Mikrotik Academy,
  • Databricks University Alliance,
  • AWS Academy.
b) - Characteristics of the study programme information management (access to study literature according to Course information sheets, access to information databases and other information sources, information technologies, etc.).

Students have access to the study literature listed in the information sheets primarily through the University Library of the CPU in Nitra and the department's separate book collection and collection of journals and proceedings.

The University Library of the CPU in Nitra enables to provide all the basic library and information processes and services that are required of a modern library. The library provides internet access and wifi coverage throughout the library premises.

The University Library of the CPU in Nitra also includes the Study Room (studying books, journals and final and qualification theses, possibility of scanning documents, copying, wifi connection, access to databases).

The library collections of the CPU in Nitra currently comprise 275 658 book units and 338 titles of subscribed periodicals, of which 201 are Slovak and 137 foreign. Three periodicals are subscribed on-line in electronic form (https://www.uk.ukf.sk/sk/kniznicny-fond).

CPU in Nitra is an active member of the nationwide project of the National Information System for Support of Research and Development in Slovakia - Access to Electronic Information Resources (NISPEZ IV), which allows to provide information support, including centralized access to the most important electronic information resources, reflecting the current situation in the field of open access to information (Open Access) in the world.

The library also provides additional services such as the Interlibrary Loan Service (ILS), the International Interlibrary Loan Service (ILLS), bibliographic information and research services, and educational services for the staff and students of the CPU. Licensed and unlicensed electronic information databases are available for searching publication resources (e.g. Gale Virtual Reference Library: Art, Knovel Library, ProQuest Central + ebrary education collection, ScienceDirect, SCOPUS, Springer eBooks, SpringerLink, Web of Knowledge – Current Contents Connect, Web of Knowledge – Essential Science Indicators, Web of Knowledge – Journal Citation Reports, Web of Knowledge – MEDLINE, Web of Knowledge – Web of Science, Wiley Online Library, EBSCO), on-line catalogue, or publishing and artistic activities of CPU Nitra employees.

An overview of library services:

https://www.uk.ukf.sk/sk/sluzby

https://www.uk.ukf.sk/sk/studovne

The library also offers the sale of publications through a brick-and-mortar shop and an e-shop. Through its website (www.uk.ukf.sk) it informs about new book additions, information resources and databases, the library's services and activities.

 

The basis of the technical infrastructure of data and telecommunication networks is a fibre-optic network, through which all CPU departments and student houses are connected, which allows students to have continuous access to Internet information resources.

and databases. Wireless signal coverage is currently available in all University buildings via the Eduroam network. The Eduroam wireless (wifi) network is used for students and staff of the CPU to access the CPU wireless network and at the same time to connect guests and students from other universities participating in the Eduroam project. In order to provide basic information support for studies, each student has his/her own university email account for official communication with the institution. In addition to e-mail communication, communication is ensured via the university (www.ukf.sk), faculty (https://www.fpvai.ukf.sk/sk), and department (https://www.fpvai.ukf.sk/sk/pracoviska/katedra-informatiky) websites and via the distribution of messages in the AIS system and via large screens integrated into the university's information system. This technology enables the provision of up-to-date information, multimedia presentations and departmental presentations at the most frequented locations of the University. CPU in Nitra operates a number of information systems and information and communication technologies serving the students and staff of the University. We specify only those systems that serve for information provision of the study programme, or by means of which students can access information resources, technologies, etc.:

  • Electronic mail - system for managing e-mail accounts of doctoral students (name.surname@ukf.sk) via the following access: posta.ukf.sk/webmail,
  • Academic Information System (AIS) (ais2.ukf.sk/) - the system processes data on the student's education from the moment of submitting his/her application for university studies, checking and registering records on the course of studies up to the registration and printing of documents on education. In addition to the study results, it also includes the registration of final theses, timetable of classes and students' registration for it. At the same time, data are provided to the Central Register of Students and the Central Register of Final Theses via the AIS. At the management level, the AIS serves as a source for measuring the educational performance of departments and their staff and for conducting questionnaire surveys to assess the quality of education at the CPU.
  • Library Information System (KIS) (kis.ukf.sk) - the system provides several activities of the University Library of the CPU in Nitra, such as online search catalogue, news in the library collection of the university library, electronic orders and forms (registration form and order for interlibrary loan service, order for research), registration (search and entry) of publishing and artistic activities of the staff of the CPU in Nitra,
  • Document management (DOC) (doc.ukf.sk) - the system serves as an authorized zone for employees and students of the university and together with the intranet part of the website provides access to current documents (internal regulations of the university and faculties, forms, decisions of the rector, deans (e.g. in the field of scholarships), software (licensed and open-source, free and freely distributable software), working materials of the management units, etc.,
  • Microsoft Office 365 - a collection of services that allow you to share and collaborate on school tasks. This service includes Office (Word, PowerPoint, Excel, OneNote, etc.), use of 1 TB of storage in OneDrive, Yammer, and SharePoint sites. Every student and staff member has access to the automatically updated Microsoft Office 365 Education suite for free. This suite of applications is designed for offline or online use. Students can work with the software throughout the duration of their studies,
  • MEET videoconferencing system (https://meet.ukf.sk/) - the system enables online video/audio communication (camera, microphone), chat - messaging, screen and audio sharing, call recording, live streaming, or YouTube video sharing,
  • Education Portal (EDU) (https://edu.ukf.sk/) - this is an e-learning portal based on LMS Moodle.
c) - Characteristics and extent of distance education applied in the study programme with the assignment to courses. Access, manuals of e-learning portals. Procedures for the transition from contact teaching to distance learning.

Education at the doctoral level is carried out primarily in the presence form of lectures and consultations. In case of special conditions of study (e.g. regulation of pandemic measures), the transition from full-time to distance education is enabled through the own systems of CPU in Nitra or other platforms. The basic means of communication within distance education includes the student email account, which is assigned to each student upon entering the first year.

One of own systems of CPU in Nitra is the MEET videoconferencing system (meet.ukf.sk), which can also be used via mobile phone. This system can be used especially in lectures, seminars, examinations or consultations on students' final theses. The MEET videoconferencing system allows online video/audio communication (camera, microphone), chat - messages, screen and audio sharing, call recording, live streaming, or sharing of YouTube videos. Students can access the videoconferencing system with the same login credentials as, for example, the Academic Information System (AIS). Other videoconferencing platforms used for distance education include Zoom, Skype, Microsoft Teams or Cisco Webex.

Another system used for distance education is the Education Portal (EDU) (edu.ukf.sk), which is an e-learning portal based on LMS Moodle and is a full-fledged substitute for the full-time form of study. Through this portal, the teacher can create his/her own courses, supplement study materials, check the solutions of assignments and outputs of seminar papers, test students' knowledge online and communicate with them. Students have access to the system with the same login details as, for example, to AIS. Tutorials on how to use the portal can be found in the videos in the Course creation and management menu in the portal or directly on the Moodle YouTube channel.

The e-learning portal of the CPU in Nitra allows students to access study materials, watch videos from lectures, engage in online feedback, be notified of upcoming deadlines, monitor progress in their studies, communicate via messages, send e-mails, submit assignments via PC, mobile and tablet, discuss projects, lectures and test the acquired knowledge.

d) - Institution partners in providing educational activities for the study programme and the characteristics of their participation.

The partners of the department in education are regional and multinational organizations, which have also commented (evaluated) on the study programme:

  • Slovak Telekom, a. s.
  • Muehlbauer Automation, s.r.o.
  • Muehlbauer Technologies, s.r.o.
  • NTT Slovakia, s.r.o.

 

These organizations are important employers of graduate students and, together with other employers' organizations and non-profit associations pursue professional lecture blocks for students of the Informatics field.

e) - Characteristics of the possibilities for social, sports, cultural, spiritual and social activities.

CPU in Nitra supports cultural and sports activities of students. Student activities are also concentrated in university associations and clubs, which are mainly the Student Parliament of the CPU in Nitra.  (https://www.ukf.sk/univerzita/studentske-kluby-a-zdruzenia).


Culture

The following can be found in the premises of the Student Home Nitra:

  • University creative studio. It is an integrative cultural point for university students and their artistic bodies to rehearse and realize productions, diverse scenic projects and cultural events.
  • The Ponitran Folklore Ensemble is the artistic ensemble with the longest history at the University and focuses on traditional Slovak folklore with a focus on the Ponitrie region. The mission of the ensemble is to develop students' interest activities, to build on the traditional Slovak culture, to interpret it artistically and to collect folklore material from different areas of Slovakia, especially from the Nitra and Tekov region.
  • The civic association JA a MY (ME and WE) is dedicated to the organization of cultural events, exhibitions, concerts, scientific conferences, seminars, discussion forums, round tables, discussions, as well as the preparation and organization of alternative artistic projects in a national and international context with an emphasis on supporting the all-round artistic development of the region.
  • Other cultural opportunities are offered by the VYDI Student Theatre or the Hungarian Choir of the CPU.


Sport

  • The students of the CPU use the gym and the swimming pool of the CPU in Nitra at the Trieda A. Hlinku 1, the gym in the Student House Zobor and the Fitness Studio and Gym in the Student House Nitra. The Boarding School League in mini football is organised annually in the gym of the Zobor Student House. 
  • CPU annually organizes the Nitra University Days and the Student Days of Nitra Universities, which include sporting events such as the Spring Run through Nitra, Evening Run through Nitra, Dodgeball, Interuniversity Water Slalom Race or Night Climb to Zobor.
  • The Association of Sports Clubs of CPU Nitra, which includes four sports clubs of Volley Project CPU Nitra, BKM Junior CPU Nitra, Taekwon-Do CPU NITRA and the Philosophers Nitra hockey team, plays an important role in the sports activities of CPU Nitra.


Spiritual activities

  • The main objective of the University Pastoral Centre of Paul Strauss in Nitra (UPC) (https://www.ukf.sk/fakulty-a-sucasti/univerzitne-pastoracne-centrum) is to provide pastoral care and spiritual support to students. The UPC organizes regular formation, worship, cultural and leisure activities. It focuses primarily on spiritual renewal, supplementing academic education with a Christian value dimension, providing spiritual guidance, counselling, creating a space for friendly encounters between worshippers and seeking students and staff. It organizes lectures and discussions in theology, culture and other disciplines with the aim of dialogue between faith, science and culture. It provides media resources for spiritual, human and social development of one´s personality, through a library, audio and video archive with religious and other themes.


Social, cultural and sporting events

  • The Nitra University Days (NUD), which take place in spring, offer a series of scientific, sporting, artistic and social events. Traditionally this includes the Rio Carnival in Slovak - an allegorical parade through the city, Superstar of Nitra universities, Majáles (May Festival) or the May Day. Sports events include the Spring Run through Nitra, Inter-university Water Slalom race for students of SPU in Nitra and CPU in Nitra, and tournaments in futsal, basketball, table tennis, volleyball and floorball. The highlight musical, artistic and social event of the NUD comes in the form of the Gaudeamus Gala Evening.
  • Academic Nitra, which takes place in the summer months, is one of the top international festivals of traditional folk culture in Slovakia, where both domestic and foreign folklore ensembles are presented.
  • Oktoberfest offers an annual music concert and various competitions for students.
  • Student Days of Nitra Universities are held in November. It is a set of social, cultural and sporting events for students of the CPU in Nitra and the SPU in Nitra, such as art concerts, theatre and film performances, an exhibition hockey match between the CPU and the SPU, an autumn run through Nitra, and others. The highlight event is the Matriculation Ball of the CPU in Nitra.
  • Additional opportunities for students are provided by the Student Centre (SC) (https://www.ukf.sk/fakulty-a-sucasti/studentske-centrum), which offers students counselling and services to support their activities outside the classroom. Centralised counselling activities include spiritual, financial, career, psychological, legal, social, health and counselling and support for students with specific learning needs.


Other opportunities for students are provided by the Student Centre (SC) (https://www.ukf.sk/fakulty-a-sucasti/studentske-centrum), which offers students counselling services and services to support their activities outside the teaching process. Centralized counselling includes spiritual, financial, career, psychological, legal, social counselling, health, and support for students with special educational needs.

 

Source: https://www.ukf.sk/studium/studentsky-zivot

f) - Possibilities and conditions for participation of the study programme students in mobilities and internships (indicating contact details), application instructions, rules for recognition of this education.

Department of informatics has current mobility agreements with following departments from universities and colleges in Slovakia and abroad within the EU and EEA (their list is available at https://www.ukf.sk/granty/erasmus/erasmus-bilaterarne-dohody). Students who are interested in ERASMUS + mobility apply through the application www.studyabroad.sk. The open competition is announced by the departmental ERASMUS + coordinator (the list of coordinators is available at: https://www.fpvai.ukf.sk/sk/vonkajsie-vztahy/medzinarodne-vztahy/koordinacia-mobilit-fpv).

Doctoral students, on the recommendation of their supervisor or programme guarantor, apply for a foreign mobility or internship through the www.studyabroad.sk application. The requirement to complete at least one internship or study stay of at least 14 days is defined in Article 7 of the Regulations for Doctoral Studies at FNSaI. The completion of the internship or mobility forms part of the doctoral student's studies and is the subject of the doctoral student's annual evaluation according to Article 8 of the Study Regulations for Doctoral Studies at FNSaI.

The process of approving the study stay also includes defining the additional courses that the student will take during the mobility. The awarding of credits and the recognition of assessments for courses studied on mobility beyond the established framework of study is decided by the relevant Head of department on the basis of the recommendations of the guarantor and the supervisor. The recognition of credits and the assessment of a course which does not correspond to any course at the CPU, but which is in accordance with the student's study programme at the FNS, is decided by the study programme supervisor or the head of the department.

Further information is available at https://www.ukf.sk/granty/erasmus/erasmus-bilaterarne-dohody

The process of administration of student mobility is regulated by the 26/2020 Guideline on the Recognition of Erasmus+ Mobility of CPU Students and staff affected by the COVID-19 pandemic and on the recognition of the costs of such mobility

9. - Required abilities and admission requirements for the study programme applicants
a) - Required abilities and necessary admission requirements.

Basic information on the conditions of application, application deadlines, the date and scope of the entrance examination, as well as a list of accredited study programmes offered by the faculty, including the requirements for the required abilities and prerequisites necessary for admission to the study are published on the faculty's website (https://www.fpvai.ukf.sk/sk/studium-fpv-ukf/prijimacie-konanie1) and in the document Principles for the evaluation of applicants for doctoral studies

(https://www.fpvai.ukf.sk/images/Studium/prijimacie_konanie/Zasady_hodnotenia_uchadzacov_o_doktorandske_studium_2022_2023.pdf)


All information and conditions of admission to doctoral study programmes at FNSaI are updated annually, approved by the AS of the FNSaI and regularly published within the statutory deadline - at least three months before the last day for submission of applications (31 May of the relevant year).

The propositions of the entrance examination are published on the faculty's website under the relevant study programme (https://www.fpvai.ukf.sk/sk/studium-fpv-ukf/doktorandske-studium).

b) - Admission procedures.

The conditions of the admission procedure are regulated by Article 5 of the Study Regulations for Doctoral Students at the FNSaI

https://www.fpvai.ukf.sk/images/uradna_tabula/vnutorne_predpisy/Studijny_poriadok_PhD_studia__FPV_final_version_29_april_2020.pdf

Based on the results of the admission procedure, the Dean shall decide whether or not to accept the applicant within thirty days from the date of the admission examination. The admission of a candidate to a topic offered by an external educational institution shall be subject to the approval of the head of the institution. A copy of the admission decision shall be included in the applicant's file.

c) - Results of the admission process over the last period.

The number of accepted students for the academic years 2020/21 and 2021/22 is given in the order of the number of applicants/ number of accepted students:

  • 2020/2021 - 5/4
  • 2021/2022 - 6/4
10. - Feedback on the quality of provided education
a) - Procedures for monitoring and evaluating students' opinions on the study programme quality.

In accordance with the Guideline no. 5/2009 Principles of evaluation of education and teachers by students of the University and internal Guideline 21/2013 Quality Assurance of Education at the CPU in Nitra (as amended), the FNSaI conducts a regular survey of students' opinions on the quality of the educational process in the form of an anonymous questionnaire via AIS, which is open to students of doctoral studies as well.

The pedagogical activity of doctoral students (to the extent determined by law) is also part of the above-mentioned questionnaire survey organised by the faculty.

A special way of monitoring students' opinions includes informal meetings of the faculty management with student representatives from the student sections of the academic senates of the faculty and the university, which are usually held at the beginning of each semester.

b) - Results of student feedback and related measures to improve the study programme quality.

The results of the evaluation questionnaire can be viewed by the lecturers evaluated by students as well as PhD students through the AIS. The overall processing of the questionnaire is an agenda developed by student representatives and members of the student section of the Faculty Academic Senate. The results are presented at the meetings of the College of the Dean of the FNSaI, as well as at the working sessions of the departments and are discussed by the Academic Senate of the FNSaI. The measures taken are aimed at creating better conditions for study and improving the quality of study at the Faculty.

c) - Results of graduate feedback and related measures to improve the study programme quality.

The results of graduate feedback, or their suggestions and subsequent measures to improve the quality of the study programme can be obtained through personal contacts, conferences of the department, which are also attended by the graduates, their lectures within the study programme, activities of the Student Centre (e.g. Career Days, career counselling). It is also possible to use the potential of university/faculty/department social networks (LinkedIn, Facebook, Twitter, Instagram).  

11. - References to other relevant internal regulations and information concerning the study or the study programme student
(e.g study guide, accommodation regulations, fee directive, guidelines for student loans, etc.).