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Računarske nauke i inžinjering
Računarske nauke i inžinjering

Naši Događaji

Thesis Defence
13 Februar 2024

Master Thesis Defense Announcement - Mr. Mowalim Kalim

15:00      Conference Room (A building)
Mr.
Thesis Defence
01 Februar 2024

Master Thesis Defense Announcement - Ms. Sadžida Basarić

10:00      Conference Room (A building)
Ms.
QBronze124 | Quantum Computing and Programming Workshop, February 5-9, 2024
31 Januar 2024

QBronze124 | Quantum Computing and Programming Workshop, February 5-9, 2024

13:00     
QWorld is announcing the first QBronze Quantum Programming Workshop in Bosnia! Join for the introductory workshop “Quantum Computing and Programming” and learn the
Cybersecurity Awareness Month
30 Oktobar 2023

Cybersecurity Awareness Month

15:00 - 18:00      Red Amphitheater
IUS Software Engineering (SE) and Computer Science and Engineering (CSE) study programs are organizing an event in cooperation with Cisco Systems and MIBO Komunikacije. 
Girls in ICT Sarajevo 2023
25 April 2023

Girls in ICT Sarajevo 2023

15:00      IUS Campus
CSE/SE study program and Sarajevo ACM-W are organizing an event “Girls in ICT Sarajevo 2023” on the occasion of celebrating the International ICT Girls' Day.  
"CodeSmash Hackathon 2023" Zenica
06 April 2023

"CodeSmash Hackathon 2023" Zenica

14:00     
Softray Solutions and the Polytechnic Faculty of Zenica invite all IT students from all BiH faculties to register their teams for the "CodeSmash Hackathon" competition an
Thesis Defence
16 Mart 2023

Master Project Defense Announcement - Mr. Tajib Smajlović

10:00      Red Amphitheater, Building A, main floor
Mr.
Thesis Defence
16 Mart 2023

Master Thesis Defense Announcement - Mr. Anes Kelić

15:00      Red Amphitheater (Building A, ground floor)
Mr.
Thesis Defence
16 Mart 2023
Thesis Defence
16 Mart 2023

Master Thesis Defense Announcement - Mr. Mahir Patković

11:00      Classroom F1.11 (Building A)
Mr. Mahir Patković, a second cycle student of the Computer Science study program, will defend his Master project titled "Covid 19 Classification Using Deep Learning Approaches".