Course: Data Analysis and Models

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Course title Data Analysis and Models
Course code KEM/ADM
Organizational form of instruction Lecture + Tutorial
Level of course unspecified
Year of study 1
Semester Summer
Number of ECTS credits 8
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Svoboda Milan, Ing. Mgr. Ph.D.
Course content
Introduction of the course Stochastic processes Selected tests of statistical hypotheses Time series and trend functions Regression methods Multidimensional and nonlinear regression Markov chains and decision processes Application of Markov chains in economics and finance Waiting line models and their optimization Deterministic inventory models Stochastic inventory models Usage of sw Mathematica for selected methods nad models

Learning activities and teaching methods
Lecture with practical applications, E-learning, Discussion, Individual study
  • Preparation for an examination (30-60) - 45 hours per semester
  • Contact hours - 65 hours per semester
  • unspecified - 58 hours per semester
  • Graduate study programme term essay (40-50) - 40 hours per semester
prerequisite
Knowledge
understand knowledge in the scope of a two-semester university course in mathematics, a course in statistics, one-semester courses in economic statistics and operations research
Skills
N/A
Competences
N/A
learning outcomes
Knowledge
Use advanced probabilistic and statistical methods
Select a proper method for practical application
Verify validity of its usability assumptions and apply it for practical problem solution including economic or financial interpretation of results
Apply time series analysis methods in practice including statistical description of demand
Apply Markov chains with various applications in marketing, business, and finance
Apply waiting line models with managerial applications
Apply various classic inventory models both deterministic and stochastic ones
Get acquainted sw Mathematica basics for solving selected problems
Skills
N/A
Competences
N/A
teaching methods
Knowledge
E-learning
Individual study
Interactive lecture
Discussion
Skills
Interactive lecture
Individual study
Discussion
Competences
Interactive lecture
Individual study
Discussion
assessment methods
Knowledge
Written exam
Portfolio
Skills
Written exam
Competences
Written exam
Recommended literature
  • ANDERSON, D.R., SWEENEY, D.J., WILLIAMS, T.A. An Introduction to Management Science - Quantitative Approaches to Decision Making.
  • DANIEL, W. W., TERRELL, J. C. Business statistics : for management and economics. 7th ed. Boston : Houghton Mifflin Co., 1995. ISBN 0-395-71231-9.
  • Hebák, Petr. Vícerozměrné statistické metody [1]. Praha : Informatorium, 2004. ISBN 80-7333-025-3.
  • Hendl, Jan. Přehled statistických metod : analýza a metaanalýza dat. 3., přeprac. vyd. Praha : Portál, 2009. ISBN 978-80-7367-482-3.
  • HINDLS, R., HRONOVÁ, S., NOVÁK, I. Analýza dat v manažerském rozhodování. 1. vyd. Praha : Grada, 1999. ISBN 80-7169-255-7.
  • Hindls, Richard. Statistika pro ekonomy. Praha : Professional Publishing, 2006. ISBN 80-86946-16-9.
  • HUŠEK, R., MAŇAS, M. Matematické modely v ekonomii. Vyd. 1. Praha : SNTL, 1989. ISBN 80-03-00098-X.
  • JABLONSKÝ, J. Operační výzkum: kvantitativní modely pro ekonomické rozhodování. Praha: Professional Publishing, 2002. ISBN 80-86419-42-8.
  • Lukáš, L. Pravděpodobností modely v managementu - teorie zásob a statistický popis poptávky. Academia Praha, 2012. ISBN 978-80-200-2005-5.
  • Lukáš, L. Pravděpodobnostní modely v managementu - Markovovy řetězce a systémy hromadné obsluhy. Academia Praha, 2009. ISBN 978-80-200-1704-8.
  • Pecáková, Iva. Statistika v terénních průzkumech. 2., dopl. vyd. Praha : Professional Publishing, 2011. ISBN 978-80-7431-039-3.
  • RENDER, B., HANNA, M. E., STAIR, R. M. Jr. Quantitative analysis for management. 1eight ed. Upper Saddle River : Prentice Hall, 2003. ISBN 0-13-049543-3.
  • Řezanková, Hana. Analýza dat z dotazníkových šetření. 3., aktualiz. vyd. Praha : Professional Publishing, 2011. ISBN 978-80-7431-062-1.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester