I. - Basic information

I.1 - Surname

Vechter Močarníková

I.2 - Name

Katarína

I.3 - Degrees

Mgr., PhD.

I.4 - Year of birth

1990

I.5 - Name of the workplace

Department of Economics and Finance

I.6 - Address of the workplace

Odbojárov 10, P.O.BOX 95, 82005 Bratislava

I.7 - Position

Assistant Professor

I.8 - E-mail address

katarina.mocarnikova@fm.uniba.sk

I.9 - Hyperlink to the entry of a person in the Register of university staff

https://www.portalvs.sk/regzam/detail/32818

I.10 - Name of the study field in which a person works at the university

Economy and Management

I.11 - ORCID iD

https://orcid.org/0000-0001-9495-5841

II. - Higher education and further qualification growth

II.1 - First degree of higher education

II.a - Name of the university or institution

FMFI UK

II.b - Year

2012

II.c - Study field and programme

Teaching primary and secondary subjects, Pedagogy Basics, Mathematics, Informatics (Computer Science)

II.2 - Second degree of higher education

II.a - Name of the university or institution

FMFI UK

II.b - Year

2014

II.c - Study field and programme

Teaching primary and secondary subjects, Pedagogy Basics, Mathematics, Informatics (Computer Science)

II.3 - Third degree of higher education

II.a - Name of the university or institution

FM UK

II.b - Year

2020

II.c - Study field and programme

Economy and Management, Management

II.4 - Associate professor

II.5 - Professor

II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

IV. - Development of pedagogical, professional, language, digital and other skills

IV.a - Activity description, course name, other	IV.b - Name of the institution	IV.c - Year
ECDL Expert	GOPAS SR, a.s.	2014

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes

V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year

V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year

V.4 - Overview of supervised final theses

V.4.1 - Number of currently supervised theses

V.4.a - Bachelor's (first degree)

V.4.b - Diploma (second degree)

V.4.c - Dissertation (third degree)

V.4.2 - Number of defended theses

V.4.a - Bachelor's (first degree)

V.4.b - Diploma (second degree)

V.4.c - Dissertation (third degree)

V.5 - Overview of other courses taught in the current academic year according to study programmes

V.5.a - Name of the course	V.5.b - Study programme	V.5.c - Degree	V.5.d - Field of study
Mathematics 2	Management	Bc	Economy and Management

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations

VI.1.1 - Number of the research/artistic/other outputs

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.3 - Number of citations corresponding to the research/artistic/other outputs

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.4 - Number of citations registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.5 - Number of invited lectures at the international, national level

VI.2 - The most significant research/artistic/other outputs

AEC_001 Močarníková, Katarína, Greguš, Michal. Conceptualization of predictive analytics by literature review [elektronický dokument]. DOI 10.1007/978-3-030-19069-9_8 In: Data-centric business and applications: evolvements in business information processing and management. Cham: Springer Nature, 2020, s. 205-234 [tlačená forma] [online]. ISBN 978-3-030-19068-2. ISBN (online) 978-3-030-19069-9. https://doi.org/10.1007/978-3-030-19069-9_8. https://www.scopus.com/record/display.uri?eid=2-s2.0-85083632387&origin=resultslist.

V2_001 Pšenák, Péter, Chrančoková, Martina, Močarníková, Katarína, Kováč, Urban. The usage of open-source statistical software in financial literacy education [elektronický dokument] In: Challenges of modern economy and society through the prism of green economy and sustainable development: proceedings. [Novi Pazar]: Državni Univerzitet u Novom Pazaru, 2024, s. 297-307 [online]. ISBN (online) 978-86-81506-24-0. https://www.dunp.np.ac.rs/wp-content/uploads/2022/publikacije/ns/ZBORNIK%20NOVI%20SAD%202023.pdf.

VI.3 - The most significant research/artistic/other outputs over the last six years

VI.4 - The most significant citations corresponding to the research/artistic/other outputs

2024 [01] Behare, Nitesh, Chaudhari, Meghasham, Sharma, Suraj, Sane, Ajit, Kharate, Sunita, Waghulkar, Shrikant, Mekhe, Suhas, Pawar, Priyanka. Emerging trends in data-driven marketing [elektronický dokument]. DOI 10.4018/979-8-3693-3455-3.ch012 In: Data-driven marketing for strategic success. Hershey: IGI Global, 2024, s. 323-358 [online]. ISBN 979-8-3693-3456-0. ISBN 979-8-3693-4914-4. ISBN (online) 979-8-3693-3455-3. https://www.igi-global.com/gateway/chapter/353541. https://www.scopus.com/record/display.uri?eid=2-s2.0-85203374748&origin=resultslist.

2022 [02] Meinecke, Dominik. Datenschutz und Data Science [elektronický dokument] : Herausforderungen und Handlungsoptionen im Beschäftigtendatenschutz. 1. vyd. Baden-Baden: Nomos Verlagsgesellschaft, 2022. Frankfurter Studien zum Datenschutz, Band 63. ISBN 978-3-8487-8956-6. ISBN (online) 978-3-7489-3231-4. DOI 10.5771/9783748932314.

2022 [01] Vinod, Angela Maria, Venkatesh, Dharathi, Kundra, Dishti, Jayapandian, N. Natural disaster prediction by using image based deep learning and machine learning [elektronický dokument]. DOI 10.1007/978-3-030-84760-9_6 In: Second International Conference on Image Processing and Capsule Networks: ICIPCN 2021. Cham: Springer Nature, 2022, [tlačená forma] [online]. ISBN 978-3-030-84759-3. ISBN (online) 978-3-030-84760-9. https://link.springer.com/chapter/10.1007%2F978-3-030-84760-9_6.

2021 [01] Lepenioti, Katerina, Bousdekis, Alexandros, Apostolou, Dimitris, Mentzas, Gregoris. Human-augmented prescriptive analytics with interactive multi-objective reinforcement learning [elektronický dokument]. DOI 10.1109/ACCESS.2021.3096662 In: IEEE access: practical innovations, open solutions. Piscataway : Institute of Electrical and Electronics Engineers, 2021, Roč. 9, s. 100677-100693 [online]. ISSN (online) 2169-3536. https://ieeexplore.ieee.org/document/9481230.

2020 [03] Tamilselvi, K., Ramesh Kumar, K. A study on predictive algorithms in health care system analysis [elektronický dokument]. DOI 10.34218/IJARET.11.10.2020.119 In: International Journal of Advanced Research in Engineering and Technology. Palavakkam: IAEME Publication, 2020, Roč. 11, č. 10, s. 1239-1245 [online] [tlačená forma]. ISSN 0976-6480. ISSN (online) 0976-6499. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3744097.

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

IX. - Other relevant facts

Date of last update

2025-02-06

Name and surname:	Mgr. Katarína Vechter Močarníková, PhD.
Document type:	Research/art/teacher profile of a person
The name of the university:	Comenius University Bratislava
The seat of the university:	Šafárikovo námestie 6, 818 06 Bratislava