Thesis supervisor: Marianna Bodroginé Zichar
Location of studies (in Hungarian): University of Debrecen Faculty of Informatics Abbreviation of location of studies: DE IK
Description of the research topic:
Syllabus
The amount of data keeps increasing, while their diversity are also much more intense. The demand on visual representation of data with different characteristics has become of high interest revealing the relationships among the data.
The objective of the research work is to work out solutions for current explored issues related to visualization which can support effectively the work of researchers from other disciplines. To deal with the issues we can select among several, already existing tools, procedures, or their enhanced, further developed versions can be applied as well.
Bibliography
[1] Nivedita Majumdar, Swapnonil Banerjee: MATLAB Graphics and Data Visualization Cookbook, Packt Publishing, 2012.
[2] Chun-houh Chen, Wolfgang Härdle, Antony Unwin: Handbook of Data Visualization, Springer-Verlag, 2008.
[3] Igor Milovanovic: Python Data Visualization Cookbook, Packt Publishing, 2013.
[4] Tom Barker: Pro Data Visualization using R and JavaScript, Packt Publishing, 2013.
[5] Kirthi Raman: Mastering Python Data Visualization, Packt Publishing, 2015.
Deadline for application: 2021-11-15
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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