Zsuzsanna Liptak

fotoZsLiptak,  March 18, 2013
Position
Assistant Professor
Academic sector
INF/01 - INFORMATICS
Office
Ca' Vignal 2,  Floor 1,  Room 79
Telephone
+39 045 802 7032
Fax
+39 045 802 7068
E-mail
zsuzsanna|liptak*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
http://profs.scienze.univr.it/~liptak

Office Hours

durante il II. semestre 2016/2017: giovedì 11-13 / during the spring term of 2016/2017: Thursdays 11-13

Curriculum

Modules

Modules running in the period selected: 10.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master's degree in Medical Bioinformatics Computational analysis of genomic sequences (2017/2018)   6   
Master's degree in Medical Bioinformatics Fundamental algorithms for Bioinformatics (2017/2018)   12  eLearning (Bioinformatics algorithms)
Master's degree in Medical Bioinformatics Computational analysis of genomic sequences (2016/2017)   6   
Master's degree in Medical Bioinformatics Fundamental algorithms for Bioinformatics (2016/2017)   12  eLearning (Bioinformatics algorithms)
Master's degree in Molecular and Medical Biotechnology Algorithms for computational biology (2015/2016)   6   
Master's degree in Bioinformatics and Medical Biotechnology Algorithms and programming languages for bioinformatics (2014/2015)   12    ALGORITMI PER BIOINFORMATICA
Bachelor's degree in Bioinformatics Discrete Biological Models (2014/2015)   6   
Master's degree in Bioinformatics and Medical Biotechnology Algorithms and programming languages for bioinformatics (2013/2014)   12    ALGORITMI PER BIOINFORMATICA
Master's degree in Bioinformatics and Medical Biotechnology Algorithms and programming languages for bioinformatics (2012/2013)   12    ALGORITMI PER BIOINFORMATICA
Master's degree in Bioinformatics and Medical Biotechnology Algorithms and programming languages for bioinformatics (2011/2012)   12    ALGORITMI PER BIOINFORMATICA

Advanced teaching activities
Name Online
PhD course "Computational methods for handling textual data" (31° Ciclo - PhD in Computer Science)
PhD course "Computational methods for handling textual data" (30° ciclo - PhD in Computer Science)
PhD Course on "SageMath" (31° Ciclo - PhD in Computer Science)
PhD Course on "SageMath" (30° ciclo - PhD in Computer Science)
 

Research groups

Bioinformatics and Natural Computing
Algorithmic analysis of biological processes.
Skills
Topic Description Research area
Algorithmic bioinformatics We develop algorithms for discrete problems arising from computational biology, among these: algorithms for mass spectrometry data interpretation, clustering of transcriptomic data, non-alignment based sequence comparison. Bioinformatica e informatica medica
Applied computing - Life and medical sciences
String algorithms Algorithms and data structures for strings; indexing for string problems; exact pattern matching, approximate pattern matching, string distance measures, storage, compression; problems arising in applications of strings such as computational biology, web data, textual data, big data, musical analysis; string combinatorics, combinatorics on words. Informatica teorica
Theory of computation - Design and analysis of algorithms