VŠTE:M_ZPD Data Processing - Course Information
M_ZPD Data Processing
Institute of Technology and Business in České Budějovicesummer 2022
- Extent and Intensity
- 2/4/0. 8 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Ing. Simona Hašková, Ph.D. (lecturer)
doc. Ing. Jarmila Straková, Ph.D., MBA (lecturer)
prof. Ing. Marek Vochozka, MBA, Ph.D., dr. h.c. (lecturer) - Guaranteed by
- Ing. Kristýna Ludwigová
Lifelong learning Centre – Directorate of Study Administration and Lifelong Learning – Vice-Rector for Study Affairs – Rector – Institute of Technology and Business in České Budějovice
Supplier department: School of Expertness and Valuation – Rector – Institute of Technology and Business in České Budějovice - Timetable of Seminar Groups
- M_ZPD/CCV: No timetable has been entered into IS. S. Hašková, J. Straková, M. Vochozka, CZV MBA
- 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
- Master of Business Administration (programme VŠTE, CZV)
- 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.
- Learning outcomes
- Is able to obtain data both from free and paid data sources; Can use Excel in terms of economics use (basic processes, data transformation and preparation for analysis and analytical procedures, application of statistical methods in Excel); Knows and is able to work with statistical methods in economy; Knows database and CRM systems; Is able to apply procedures associated with decision-making processes and game theory.
- 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
- MAYER-SCHÖNBERGER, Viktor a Kenneth CUKIER. Big Data. 1. vyd. Brno: Computer Press, 2014, 256 s. ISBN 978-80-251-4119-9.
- VOGLOVÁ, Blanka. Excel a Access: efektivní zpracování dat na počítači. 1. vyd. Praha: Grada, 2004, 252 s. Průvodce (Grada). ISBN 80-247-0703-9
- HINDLS, Richard. Statistika pro ekonomy. 8. vyd. Praha: Professional Publishing, 2007, 415 s. ISBN 978-80-86946-43-6.
- DLOUHÝ, Martin a Petr FIALA. Úvod do teorie her. Vyd. 1. Praha: Oeconomica, 2007, 114 s. ISBN 978-80-245-1273-0.
- SKALSKÁ, Hana. Data mining a klasifikační modely. Vyd. 1. Hradec Králové: Gaudeamus, 2010, 154 s. Recenzované monografie. ISBN 978-80-7435-088-7.
- LEHTINEN, Jarmo. Aktivní CRM: řízení vztahů se zákazníky. 1. vyd. Praha: Grada, 2007, 158 s. Expert (Grada). ISBN 978-80-247-1814-9.
- recommended literature
- KISLINGEROVÁ, Eva. Manažerské finance. 3. vyd. V Praze: C.H. Beck, 2010, xxxviii, 811 s. Beckova edice ekonomie. ISBN 978-80-7400-194-9.
- 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.
- Forms of Teaching
- Lecture
Seminar
Tutorial
Consultation - Teaching Methods
- Frontal Teaching
- Student Workload
Activities Number of Hours of Study Workload Daily Study Combined Study Preparation for Seminars/Exercises/Tutorial 79 100 Preparation for the Final test/Final test 70 87 Attendance on Lectures 20 Attendance on Seminars/Exercises/Tutorial/Excursion 39 21 Total: 208 208 - Assessment Methods and Assesment Rate
- Exam – oral 100 %
- Exam conditions
- Evaluation: oral exam (100 – 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
- Further Comments
- The course is taught only once.
- Enrolment Statistics (recent)
- Permalink: https://is.vstecb.cz/course/vste/summer2022/M_ZPD