Course syllabus ZST - Introduction to statistics (ŠAVŠ - WS 2019/2020)

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Course title: Introduction to statistics
Semester: WS 2019/2020
Course supervisor: Mgr. Petr Kasal
Supervising department: Department of Informatics and Quantitative Methods (ŠAVŠ)
Prerequisites for registration: not Bachelor state examination
Time allowance: full-time, 1/2 (hours of lectures per week / hours of seminars per week)
part-time, 0/12 (lectures per period / seminars per period)
Type of study: usual
Form of teaching: lecture, seminar
Mode of completion and credits: Exam (5 credits)
Course objective:
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Course methods: -- item not defined --
 
Course content:
The content of the course has not been saved in this language version.
 
Learning outcomes and competences:
After completing the course, student will be able to:
 
-Will be able to describe and apply the process of testing statistical hypotheses
-Will be able to describe the time series development by means of appropriate characteristics and make a simple forecast for the next period
-Will be able to measure the strength of the relationship between different types of variables and assess the significance of this relationship
-Will be able to plan a survey and estimate parameters in the population
-Will be able to produce and interpret graphical and numerical summaries of data sample

Teaching methods and workload (hours of workload):
Type of teaching methodDaily attendanceCombined form
Direct teaching
     Attendance of lectures12 h0 h
     Attendance of courses/seminars/tutorials24 h12 h
     Consultations with teacher (part-time form of study)0 h2 h
Self-study
     Course reading and ongoing preparation48 h12 h
     Ongoing evaluation26 h42 h
     Composing of individual (seminar) work10 h28 h
     Preparation for final test20 h44 h
Total140 h140 h
 
Assessment methods:
Requirement typeDaily attendanceCombined form
Active lecture/seminar/workshop/tutorial participation10 %10 %
Term paper10 %10 %
Mid-term test(s)30 %30 %
Final test50 %50 %
Total100 %100 %
 
Course completion:
none
 
Support for combined/distance forms of study:
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Reading list:
Basic:
Language of instruction: Czech
HINDLS, R. -- SEGER, J. -- FISCHER, J. -- HRONOVÁ, S. Statistika pro ekonomy. 8th ed. Praha: Professional Publishing, 2007. 415 p. ISBN 978-80-86946-43-6.
HINDLS, R. -- SEGER, J. -- HRONOVÁ, S. Statistika pro ekonomy. 2nd ed. Praha: Professional Publishing, 2002. 387 p. ISBN 80-86419-26-6.
FRIEDRICH, V. Statistika 1.: Pro distanční studium. 1st ed. Plzeň: Západočeská uni. v Plzni, 2002. 398 p. ISBN 80-7082-913-3.
MAREK, L. Statistika pro ekonomy.: Aplikace. + DVD se SAS software a příklady z knihy. 2nd ed. Praha: Professional Publishing, 2007. ISBN 978-80-86946-40-5.

Recommended:
Language of instruction: Czech
HINDLS, R. -- KOLEKTIV. Metody statistické analýzy pro ekonomy. 2nd ed. Praha: Management Press, 2000. 259 p. ISBN 80-7261-013-9.
HENDL, J. Přehled statistických metod.: Analýza a metaanalýza dat. 3rd ed. Praha: Portál, 2009. ISBN 978-80-7367-482-3.

Study plans:
Track BRLZ Human Resources Management part-time form, initial academic year WS 2019/2020
Track BRLZ Human Resources Management full-time form, initial academic year WS 2019/2020
Track BRLZ Human Resources Management full-time form, initial academic year WS 2019/2020
Track BRLZE Human Resources Management full-time form, initial academic year WS 2019/2020
Track BRLZ Human Resources Management part-time form, initial academic year WS 2019/2020
 
Run in the period of: SS 2018/2019, WS 2018/2019, SS 2017/2018, WS 2017/2018, SS 2016/2017, WS 2016/2017   (and older)
Course tutor: Mgr. Petr Kasal (examiner, instructor, lecturer, supervisor)
Mgr. Elena Říhová, Ph.D. (examiner, instructor, lecturer)
Mgr. Petr Šulc (examiner, instructor)
Teaching language: Czech
Room: Mladá Boleslav, Praha


Last modification made by Mgr. Luděk Švejdar on 05/10/2019.

Type of output: