VŠTE:M_ZPD Data Processing - Course Information

M_ZPD Data Processing

Extent and Intensity

2/4/0. 8 credit(s). Type of Completion: zk (examination).

Teacher(s)

Mgr. Václav Dobiáš (seminar tutor)

Guaranteed by

doc. Ing. Zuzana Rowland, MBA, PhD.
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

• 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.

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.
• VOGLOVÁ, Blanka. Excel a Access: efektivní zpracování dat na počítači. 1. vyd. Praha: Grada, 2004, 252 s. Průvodce (Grada). ISBN 80-247-0703-9
• 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.
• MAYER-SCHÖNBERGER, Viktor a Kenneth CUKIER. Big Data. 1. vyd. Brno: Computer Press, 2014, 256 s. ISBN 978-80-251-4119-9.

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

Teaching Methods

Frontal Teaching

Student Workload

Activities	Number of Hours of Study Workload
	Daily Study	Combined Study
Preparation for Seminars/Exercises/Tutorial	50	87
Preparation for the Final test/Final test	70	70
Written work	30	30
Attendance on Lectures	19
Attendance on Seminars/Exercises/Tutorial/Excursion	39	21
Total:	208	208

Assessment Methods and Assesment Rate

Exam – written 100 %

Language of instruction

Czech

• Enrolment Statistics (Summer 2016, recent)
  
• Permalink: https://is.vstecb.cz/course/vste/summer2016/M_ZPD