UVSRPVR129 Applications for Research and Marketing

Faculty of Public Policies in Opava
Winter 2019
Extent and Intensity
9/0/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
Ing. Magdalena Chmelařová, Ph.D. (lecturer)
Guaranteed by
Ing. Magdalena Chmelařová, Ph.D.
Institute of Public Administration and Social Policy – Faculty of Public Policies in Opava
Contact Person: JUDr. Marie Sciskalová, Ph.D.
Timetable of Seminar Groups
UVSRPVR129/A: Fri 27. 9. Fri 12:15–19:40 TA01, M. Chmelařová
UVSRPVR129/B: Fri 15. 11. Fri 12:15–19:40 TR01, M. Chmelařová
UVSRPVR129/C: Fri 18. 10. Fri 8:05–10:30 C202, Fri 1. 11. Fri 16:25–18:50 C311, Fri 13. 12. Fri 8:05–10:30 C311, M. Chmelařová
Prerequisites (in Czech)
FAKULTA(FVP) && TYP_STUDIA(N) && FORMA(K)
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to teach students to work in available applications for research. Students will learn methods that are used for analysis of data obtaining from the questionnaire. They will also be able to process the data in the available applications, sort, test and present the results. The part of the course will be learning and practicing particular methods in the SPSS program.
Syllabus
  • 1st The basic terminology of marketing, database and overview of applications for research and marketing
    2nd Basis of statistics and basic terminology
    3rd Matrix of data, variables. One-dimensional and two-dimensional analysis of categorical data
    4th Sorting a chart
    5th T-tests, correlation and regression analysis
    6th Tables and graphs. Frequency of distribution, and hypothesis testing, relationships between variables
    7th Planning, preparation and objectives of research, statistical methods for research
    8th Preparing of data files
    9th Working in applications
    10th Working in the statistical program for data analysis
    11th Presentation of results
    12th The different methods in SPSS program
Literature
    required literature
  • LONGLEY, Paul, Michael F. GOODCHILD, D. J. MAGUIRE a David RHIND. Geografické informace: systémy a věda. Olomouc: Univerzita Palackého v Olomouci, 2016. ISBN 978-80-244-5008-7. info
  • DOSTÁLEK, Libor. Mobilní sítě a jejich bezpečnost. V Českých Budějovicích: Ústav aplikované informa, 2016. ISBN 978-80-7394-606-7. info
  • MAREŠ, Petr, Ladislav RABUŠIC a Petr SOUKUP. Analýza sociálněvědních dat (nejen) v SPSS. Brno: Masarykova univerzita, 2015. ISBN 978-80-210-6362-4. info
    recommended literature
  • ŘEHÁK, Jan a Ondřej BROM. SPSS ? Praktická analýza dat. Computer Press, Brno, 2015. ISBN 978-80-251-4609-5. info
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 9 HOD/SEM.
Teacher's information
Making and presentation of a project. Evaluation of written test in an e-learning course to verify the theoretical and practical knowledge of the topic.
The course is also listed under the following terms Winter 2016, Winter 2017, Winter 2018, Winter 2020, Winter 2021, Winter 2022, Winter 2023.
  • Enrolment Statistics (Winter 2019, recent)
  • Permalink: https://is.slu.cz/course/fvp/winter2019/UVSRPVR129