Mr. Muamer Bučo, a second cycle student of the Electrical and Electronics Engineering study program, will defend his Master thesis titled "Design and Implementation of a Multi-agent Amr Platform".  

Ms. Šejma Kubura, a second cycle student of the Mechanical Engineering study program, will defend her Master thesis titled "Thermal Performance Analysis of PCM, Trombe wall for Winter and Summer Modes, an experimental Study".  

Ms. Šejma Kubura, a second cycle student of the Mechanical Engineering study program, will defend her Master thesis titled "Thermal Performance Analysis of PCM, Trombe wall for Winter and Summer Modes, an experimental Study".  

Ms. Izdihar Dagistani, a second cycle student of the Architecture study program, will defend her Master project titled "Sustainable Architecture in Early Education Building Design".  

Ms. Izdihar Dagistani, a second cycle student of the Architecture study program, will defend her Master project titled "Sustainable Architecture in Early Education Building Design".  

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".   The date, time, and venue of the thesis defense you can find below:  

Ms. Ajla Sokol, a second cycle student of the Computer Sciences and Engineering study program, will defend her Master project titled "A Comporative Study of the Cryptocurrency Price Prediction Machine Learning Models".  

Mr. Anes Kelić, a second cycle student of the Computer Science study program, will defend his Master project titled "Big Data and Business Intelligence, a Data Driven Strategy for Business in Bosnia and Herzegovina".  

Ms. Ajla Sokol, a second cycle student of the Computer Sciences and Engineering study program, will defend her Master project titled "A Comporative Study of the Cryptocurrency Price Prediction Machine Learning Models".  

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".   The date, time, and venue of the thesis defense you can find below: