Teaching

All course information is hosted on e-PMF Moodle portal.
Databases 1
Professor: dr Miloš Racković
Moodle course - Databases 1
Databases 2
Professor: dr Miloš Racković
Moodle course - Databases 1

Artificial Intelligence 1
Professor: dr Miloš Racković
Moodle course - Artificial Intelligence 1

Computer Networks
Professor: dr Danijela Tešendić
Moodle course - Computer Networks

Business Software Development
Professor: dr Srđan Škrbić
Moodle course - Business Software Development

Script Languages - Python
Professor: dr Jovana Vidaković
Moodle course - Script Languages - Python

Mobile Applications Development
Professor: dr Danijela Tešendić
Moodle course - Mobile Applications Development

Research

SUKUR, N., MILOŠEVIĆ, N., PEŠIĆ, S., KOLEK, J., RAKIĆ, G., & BUDIMAC, Z. (2016). First Results of WCET Estimation in SSQSA Framework. In Fifth Workshop on Software Quality Analysis, Monitoring, Improvement, and Applications SQAMIA 2016 (p. 81).
MILOŠEVIĆ, N., BOBERIĆ KRSTIĆEV D. & RACKOVIĆ, M. (2017) From traditional to containerized system architecture: SCLIT 2017: 7th Symposium on Computer Languages, Implementations and Tools
ARAPAKIS et al., "Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications," 2019 IEEE World Congress on Services (SERVICES), Milan, Italy, 2019, pp. 394-395. doi: 10.1109/SERVICES.2019.00120
MILOŠEVIĆ N. ., RACKOVIĆ, M. (2019) Classification based on missing features in Deep Convolutional Neural Networks, Neural Network World Journal (University of Prague) Volume 29 pp. 221-234 doi: 10.14311/NNW.2019.29.015
MILOŠEVIĆ, N. , RACKOVIĆ, M. (2020) Synergy between traditional classification and classification based on negative features in deep convolutional neural networks. Neural Computing and Applications, November 2020, doi: 10.1007/s00521-020-05503-4

Nemanja Milošević