Bölüm Etkinlikleri

E-postaadmission@ius.edu.ba

Telefon+387 33 957 200

OfisA Binası, 2.Kat, Ofis F1.30

Çalışma SaatleriPzt-Cm : 08.30 – 17.00

AdresHrasnička cesta 15, 71210 Ilidža

Bölüm Etkinlikleri

20 Ocak 2023

Master Thesis Defense - Rialda Spahic

13:00 IUS Campus

ANNOUNCEMENT

20 Ocak 2023

Change Brings Opportunities - Porsche BH

9:00 Red Amphitheater, Building A, main floor

Porsche BH d.o.o. is coming to the International University of Sarajevo!

20 Ocak 2023

Master Thesis Defense Announcement - Mr. Tarik Sidran

12:00 Red Amphitheater (Building A, ground floor)

Mr. Tarik Sidran, a second cycle student of the Computer Science study program, will defend his Master project titled "EBiH- E-citizenship Platform On Blockchain".  

20 Ocak 2023

Cyberspace Awareness Month - #Be Safe in Cyberspace

13:00 Red Amphitheater (Building A, ground floor)

Computer Sciences and Engineering and Software Engineering study programs organize an event titled "Cyberspace Awareness Month - #Be Safe in Cyberspace".

20 Ocak 2023

Uluslararası Saraybosna Üniversitesinde yaz okulunun yenilikleri 'geekfest 2014'

13:00 IUS Campus

İkinci yaz okulu yenilikleri 'geekFest 2014' adıyla Uluslararası Saraybosna Üniversitesi tarafından organize ediliyor.

20 Ocak 2023

Summer School of Innovation geekFEST2017

13:00 IUS Campus

Dear high school students! Get ready for an unforgettable summer filled with challenges, as from 14 - 16 August 2017 you’ve got the chance to participate in geekF

20 Ocak 2023

Desirable Skills Employers Look for in Students - Lecture by Edin Mehić

13:00 IUS Amphitheatre

Mr.

20 Ocak 2023

Master Project Defense Announcement - Ms. Ajla Sokol

11:00 Red Amphitheater, Building A, main floor

Ms.

07 Ekim 2022

PhD Thesis Defense Announcement - Mr. Mehmet Akif Yaman

09:30

Mr.

05 Eylül 2022

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".