master's thesis
Predviđanje uspjeha studenata na temelju njihova pisanoga izražavanja

Rešicki, Tomislav
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

Rešicki, T. (2018). Predviđanje uspjeha studenata na temelju njihova pisanoga izražavanja (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:710902

Rešicki, Tomislav. "Predviđanje uspjeha studenata na temelju njihova pisanoga izražavanja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:710902

Rešicki, Tomislav. "Predviđanje uspjeha studenata na temelju njihova pisanoga izražavanja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:710902

Rešicki, T. (2018). 'Predviđanje uspjeha studenata na temelju njihova pisanoga izražavanja', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 24 October 2020, https://urn.nsk.hr/urn:nbn:hr:200:710902

Rešicki T. Predviđanje uspjeha studenata na temelju njihova pisanoga izražavanja [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2020 October 24] Available at: https://urn.nsk.hr/urn:nbn:hr:200:710902

T. Rešicki, "Predviđanje uspjeha studenata na temelju njihova pisanoga izražavanja", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:710902

Islandora Bookmark - Please login to use this feature