M_ZPD Data Processing

Institute of Technology and Business in České Budějovice
summer 2021
Extent and Intensity
2/4/0. 8 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Ing. Eduard Babulak, Ph.D. (seminar tutor)
Mgr. Václav Dobiáš (seminar tutor)
Guaranteed by
Ing. Lukáš Polanecký
Study Department – Vice-Rector for Study Affairs – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Study Department – Vice-Rector for Study Affairs – Rector – Institute of Technology and Business in České Budějovice
Prerequisites (in Czech)
OBOR(CAP)
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives supported by learning outcomes
The course deals with the processing of data that are indispensable for managing the company. The aim is to get an overview of various methods, how data can be processed and analyzed to be a valuable asset in business management.
Syllabus
  • Data acquisition - Public Resources
  • Data acquisition - paid and special sources (Google Analytics)
  • How to use Excel in economics I - basic procedures
  • How to use Excel in economics II - data transformation and preparation for analysis
  • Statistical Methods in economics I - explanation of basic concepts
  • Statistical Methods in economics II - continued
  • How to use Excel in economics III - analytical procedures and using statistical methods in Excel
  • CRM systems
  • Database systems
  • Data mining
  • Big data
  • Decision-making and game theory I
  • Decision-making and game theory II
Literature
    required literature
  • DLOUHÝ, Martin a Petr FIALA. Úvod do teorie her. Vyd. 1. Praha: Oeconomica, 2007, 114 s. ISBN 978-80-245-1273-0.
  • MAYER-SCHÖNBERGER, Viktor a Kenneth CUKIER. Big Data. 1. vyd. Brno: Computer Press, 2014, 256 s. ISBN 978-80-251-4119-9.
  • LEHTINEN, Jarmo. Aktivní CRM: řízení vztahů se zákazníky. 1. vyd. Praha: Grada, 2007, 158 s. Expert (Grada). ISBN 978-80-247-1814-9.
  • HINDLS, Richard. Statistika pro ekonomy. 8. vyd. Praha: Professional Publishing, 2007, 415 s. ISBN 978-80-86946-43-6.
  • SKALSKÁ, Hana. Data mining a klasifikační modely. Vyd. 1. Hradec Králové: Gaudeamus, 2010, 154 s. Recenzované monografie. ISBN 978-80-7435-088-7.
  • VOGLOVÁ, Blanka. Excel a Access: efektivní zpracování dat na počítači. 1. vyd. Praha: Grada, 2004, 252 s. Průvodce (Grada). ISBN 80-247-0703-9
    recommended literature
  • LAURENČÍK, Marek a Michal BUREŠ. Excel 2013: práce s databázemi a kontingenčními tabulkami. 1. vyd. Praha: Grada, 2014, 176 s. Snadno a rychle (Grada). ISBN 978-80-247-5003-3.
  • KISLINGEROVÁ, Eva. Manažerské finance. 3. vyd. V Praze: C.H. Beck, 2010, xxxviii, 811 s. Beckova edice ekonomie. ISBN 978-80-7400-194-9.
Forms of Teaching
Lecture
Seminar
Tutorial
Teaching Methods
Frontal Teaching
Student Workload
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for Seminars/Exercises/Tutorial5087
Preparation for the Final test/Final test7070
Written work3030
Attendance on Lectures19 
Attendance on Seminars/Exercises/Tutorial/Excursion3921
Total:208208
Assessment Methods and Assesment Rate
Test – final 70 %
Seminary Work 30 %
Exam conditions
Points for the written test (70 – 0) + Points for seminar work (30 - 0): A 100 – 90, B 89,99 – 84, C 83,99 – 77, D 76,99 – 73, E 72,99 – 70, FX 69,99 – 30, F 29,99 – 0
Language of instruction
Czech
The course is also listed under the following terms Summer 2016, winter 2016, winter 2018, winter 2020, summer 2022.
  • Enrolment Statistics (summer 2021, recent)
  • Permalink: https://is.vstecb.cz/course/vste/summer2021/M_ZPD