Mathematics Arena
What?
The world is stacked with patterns. The essence of every process has an underlying logic to back it up. You might find yourselves looking for the right mathematical models to interpret surface tension, describe stellar dynamics, prove method efficiency, determine particle distribution within a material or simulate molecule behavior within a tumor. The Mathematics Arena provides you with a possibility to apply mathematical reasoning and tackle real world challenges in a diverse team.
Who?
Don’t let the name of the arena fool you. You can’t do it alone, and a team consisting of only mathematicians will likely have to overcome various hurdles. You want people of various skills; mathematicians, physicists, computer scientists. You might be wondering now...saying...but there are so many different research fields, how do I choose the right people? No worries, the core competences will be defined by the mentoring team based on the upcoming tasks.
Why?
Because you will get a chance to find out what kind of challenges await you after finishing university. You will learn how to work in a team and be able to explore different uses of mathematical reasoning for new fields of research. You are probably curious to learn if you are ready to face the challenges which you can’t completely prepare for – this is the best way to do it! Finally, based on the results, you will get a unique opportunity to present your solution to the jury. That way, not only you can solve a problem, but you can communicate your solution to the field experts, coming from both academia and industry.
Download the assignment 2022
Download the results 2019
Download the assignment 2019
Download the assignment 2018
Final results
| Team | Points (Max. 165) |
|---|---|
| Predzadnji | 143 |
| KMens | 138 |
| KŽ | 110 |
| svrati^(piće) | 87 |
| OptimUm | 83 |
| Diferencijalni rakun | 57 |
| 3.14kacu | 43 |
| pithons | 14 |
| FERIT OS | 6 |
Competences
Optimization
Linear algebra
MATLAB/Python (basics)
Mathematical analysis
Geometry
Teamwork
Problem analysis
Jury members
Teo Turković
Teo Turković, a Master of Science in Computer Science and Mathematics (Faculty of Science, University of Zagreb), started his career in Hrvatski Telekom as a Customer Value Management and Customer Intelligence Expert. In the search for a more modeling job, he quit and started working at Zagrebačka banka as a Senior Credit Risk Quantitative Analyst to work on models for determining key parameters of credit risk management. He is currently working in Croatia osiguranje as an Expert in Business Intelligence and Data Science.
Siniša Miličić
Siniša Milčić is a mathematician with a very strange knowledge about very strange things. In his spare time, he is covered by chalk dust, reads, or is doing Python. During class, he is covered in chalk dust, explains Greek, Latin, or Arabian etymological terms, or is doing Python. In his scientific work, he is occupied with fractals’ geometry analysis but does dynamics and computing also. In 2013, he earned his Ph.D. in Mathematics at the Faculty of Electrical Engineering and Computing in Zagreb and now he is the Vice Dean for Education at the Faculty of Informatics in Pula. Even though he is from Zagreb, he moved away to Istria with his wife after university due to the sea and better climate. His favorite quote is by Alfréd Rényi: “a mathematician is a machine for turning coffee into theorems”. Siniša also plays Tetris, rides the bike, sails, and skis.
Mentors
Barbara Banić
Barbara Banić is a business intelligence and data science specialist at Croatia osiguranje. She graduated in Financial and Business Mathematics at the Faculty of science, University of Zagreb. Barbara is currently studying at the university postgraduate study programme in InsurTech at the Faculty of Electrical Engineering and Computing.
Denis Lukić
Works in Privredna Banka Zagreb in the Data Science team. He is engaged in the creation of data models using machine and deep learning algorithms. In the bank, he encounters different types of data (temporal series', tabular data, textual data...) in the vast fields of banking (Risk Management, Customer Relationship Management, Digital Banking...). Using his knowledge in mathematics, statistics and informatics, he, along with his team, comes up with different solutions for problems of diverse complexity. He thinks that STEM Games are an excellent thing because they give students and other participants the opportunity of gaining new knowledge, useful information and acquaintanceships, as well as great fun.
Marko Duspara
Marko Duspara studies Applied Mathematics at the Faculty of Science in Zagreb. His main interest are evolutionary partial differential equations. He likes to read and write in his spare time, and also cook and play videogames.
Vedran Stipetić
Vedran Stipetić completed his undergraduate degree in Mathematics at the Faculty of Science in Zagreb and his master's degree in Applied Mathematics at the Technical University of Denmark. He is currently a Ph.D. student in Computer Vision at the Faculty of Electrical Engineering and Computing and is primarily interested in inverse problems in computer vision and other fields. He likes to read in his spare time. Recently he started to scuba dive.