Course: Probabilistic Models in English

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Course title Probabilistic Models in English
Course code KEM/APMO
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study 1
Semester Summer
Number of ECTS credits 5
Language of instruction English
Status of course Compulsory-optional, Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Plevný Miroslav, Prof. Dr. Ing.
Course content
Introduction to mathematical models in economics. Deterministic and stochastic models. Static and dynamic models. Theory of systems - basics. Stochastic processes - basics. Markov chains - introduction. Decision making processes using Markov chains. Applications of Markov chains in marketing, corporate economics and finance. Theory of queues, poisson process, waiting line models - basic characteristics. Simple exponential models - M/M/1, M/M/m. Other models - closed, with preferences ones, M/G/1. Optimalization of simple waiting line models M/M/1, M/M/m with cost-oriented objective function. Inventory theory - overview, basic characteristics. Inventory control optimization models. Deterministic models - EOQ, POQ, and others. Multi-product inventory models. Deterministic models - cont. Stochastic models, news-boy problem. Stochastic models - determination of safety stock under aggregated demand with normal distribution, (Q,r) model, (s,S) model. Stochastic models using theory of queues approach and their optimization.

Learning activities and teaching methods
Individual study, Self-study of literature, Lecture
  • Contact hours - 52 hours per semester
  • Preparation for an examination (30-60) - 40 hours per semester
  • Graduate study programme term essay (40-50) - 40 hours per semester
prerequisite
Knowledge
to pass subjects Operations research and Statistics.
Skills
N/A
Competences
N/A
learning outcomes
Knowledge
get basics of sw Mathematica acquainted.
construct and apply Markov chains with various applications in marketing, business, and finance
construct and apply waiting line models with economic applications (e.g. M/M/1, M/M/m, M/M/m/./r, etc.)
apply various classic inventory models both deterministic and stochastic ones (e.g. news-boy problem, EOQ, POQ, multi-product models, dynamic models with stochastic demand, (Q,r), (s,S) models, etc.)
Skills
N/A
Competences
N/A
teaching methods
Knowledge
Lecture
Self-study of literature
Individual study
Skills
Lecture
Competences
Lecture
assessment methods
Knowledge
Combined exam
Seminar work
Skills
Combined exam
Competences
Combined exam
Recommended literature
  • ANDERSON, D. R. - SWEENEY, D. J. - WILLIAMS, T. A. An Introduction to Manaagement Science - Quantitative Approaches to Decision Making.
  • LUKÁŠ, L. Pravděpodobnostní modely některých manažerských úloh. Plzeň : Západočeská univerzita, 2005. ISBN 80-7043-402-3.
  • LUKÁŠ, L. Pravděpodobnostní modely v managementu - Markovovy řetězce a systémy hromadné obsluhy. Academia, Praha, 2009. ISBN 978-80-200-1704=8.
  • LUKÁŠ, L. Pravděpodobnostní modely. Plzeň : Západočeská univerzita, 2005. ISBN 80-7043-388-4.
  • 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.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics Study plan (Version): Business Economics and Management (2017) Category: Economy 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Economics Study plan (Version): Project Management Systems (2013) Category: Economy 1 Recommended year of study:1, Recommended semester: Summer