Technology Arena
What?
Various tasks are going to be at different levels of complexity which allows participants a chance to contribute to the team’s success whether they’re facing this type of competition for the first time or if they’re more experienced than that. Teams will win points depending on the success of their solution at individual tasks. The first two days of the competition are focused on solving the algorithm tasks, while the third day is booked for the Main Task. The Main Task’s theme is inspired by the real problems that the Arena’s sponsors are facing every day.
Who?
In the Technology Arena, regular computing sciences, mathematics, informatics, and digital sciences students can participate in this type of competition, as well as the other regular students from similar fields.
Why?
The progress of digital and informatics technologies has never stopped growing in the last couple of years. We are coming up with new discoveries and knowledge every day that could ease our life with digitalization. This knowledge can also benefit us as a tool for efficient management of everything around us: nature and the environment. This year at the Technology Arena, we’re searching for ways to reduce the impact on natural resources by applying various algorithms and efficient models of machine learning.
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Competences
Algorithms and data structures
Graph theory, discrete mathematics, number theory, linear algebra
Data science
Machine learning
Creative thinking
Teamwork
Presentation skills
Problem analysis
*Teams can choose which programming language they will use; however, they have to take the execution speed into consideration.
Mentori
Ema Smolić
Ema Smolić is a junior researcher and PhD student at FER, with the main research field centering around application of adaptable systems in education. She is currently working on a FER project heavily based on natural language processing and data science, which are her top interests. Also, her job includes being a teaching assistant on several courses, which she loves to do
Marko Sejdić
Mislav Matijević
Mislav Matijević, Tehnološka arena, Sveučilište u Zagrebu. Mislav Matijević završio je preddiplomski studij Informacijski i poslovni sustavi i diplomski studij Informacijsko i programsko inženjerstvo na Fakultetu organizacije i informatike. Programiranje mu je najveći gušt, a motivira ga otkrivanje i povezivanje različitih tehnologija. Trenutno je zaposlen na FOI-ju gdje izvodi vježbe na nekoliko programerskih kolegija, uključujući Programsko inženjerstvo.
Ivana Lučin
Ivana Lučin is a postdoc. at the Faculty of Engineering, University of Rijeka. She is employed at the Department of Fluid Mechanics and Computational Engineering and she is teaching assistant at undergraduate and graduate studies of mechanical engineering and computing. The main area of scientific work is the application of optimization methods and machine learning methods to various problems in the field of fluid dynamics.
Toni Kukec
Milan Vrankić
I am a fourth-year student at the Faculty of Electrical Engineering and Computing in Zagreb, majoring in Computer Science. My areas of interest are from embedded computers and computer security to quantum computers to nuclear engineering and various fields of physics. I am an active member of the student association X.FER. At X.FER, we organize hackathons, competitions, college courses and lectures on various topics in the field of mathematics.
I often compete in different hackathons and CTF competitions. In addition to competing, I organize the course "Cybernetic Security" at FER and am engaged in research on the topic of optimization algorithms on quantum computers.
If life isn't just college, I still like to hike and cook 😆
Benjamin Nadarević
