University of Pardubice
Study programmes & Course catalogue
for academic year 2025/2026
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Course: Big Data

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Course title Big Data
Course code USII/FBDT
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Hub Miloslav, doc. Ing. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
  • Contact teaching - 52 hours per semester
  • Home preparation for classes - 48 hours per semester
  • Preparation for an exam - 50 hours per semester
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Oral examination, Written examination, Student performance assessment

Recommended literature
  • Hendl, J. Big data: věda o datech - základy a aplikace. Praha: Grada Publishing, 2021. ISBN 978-80-271-3031-3.
  • Holubová, I., J. Kosek, K. Minařík a D. Novák. Big Data a NoSQL databáze. Praha: Grada, 2015. ISBN 978-80-247-5466-6.
  • Kudyba, S. Big Data, Mining and Analytics.. Auerbach, 2014.
  • Mayer-Schonberger, V. Big data: Revoluce, která mění způsob, jak žijeme, pracujeme a myslíme.. Praha: Computer Press, 2014.
  • Minell, M. Big Analytics.. Wiley, 2013.
  • Smolan, Rick. The human face of big data. Sausalito: Against All Odds Productions, 2012. ISBN 978-1-4549-0827-2.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
University of Pardubice, date of update: 16.03.2026 23:51. Data created for academic year 2025/2026