- Office:1054 Budapest, Alkotmány utca 9-11.
- Building:1st Floor, Room 111
- Phone:+36 1 374-6244
- Internal extension:242, 244
- Email:Kovacsneszekely.Ilona@uni-bge.hu
Introduction
Ilona Kovácsné Székely is the leader of the Statistics Group at the Budapest Business School, Faculty of Commerce, Catering and Tourism, and Honorary Professor at University of Pannonia. She has completed the Habilitation, a qualification allowing the holder to conduct self-contained university teaching.
She is also a course leader and visiting lecturer at Babes-Bolyai University, Eötvös Loránd University, and a supervisor at University of Pannonia’s Festetics Doctoral School. She obtained her degree in Mathematics (with the Teaching of Mathematics) in 1980 from the Babes-Bolyai University. This was accepted in Hungary by Eötvös Loránd University in 1984. In 2007 she obtained her PhD from the University of Debrecen’s Mathematics and Informatics Doctoral School. Since 1998 she has taught Probability Theory and Statistics at the Budapest Business School in both English and Hungarian. From 1986 to 1998 she was a researcher and teacher at Eötvös Loránd University, Faculty of Natural Sciences, Department of Probability Theory and Statistics. She is a member of the sections of the Hungarian Academy of Sciences’ Statistics and Geomathematics subcommittees. She has, and continues to be involved in all stages of research with fellow-researchers at Budapest Business School and Hungarian and foreign universities and institutions. Students of hers have placed highly in competitions organised by the National Students’ Research Society. Her research and teaching have been honoured by the institution many times.
Office Hours
Location | Alk.I.117 Computer Room |
---|---|
Hours | Tuesday 18:40-20:10 |
Comment | Pre-registration via e-mail required. |
Subject(s) taught
- Basics of Statistics and Probability Studies (Hungarian and English)
- Statistics for Business (Hungarian and English)
Research areas
- Her research focuses on two areas: teaching methodologies in Probability Theory and Statistics, and the application of mathematical statistics in economics, natural sciences and medicine.