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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

Quantitative Methods in Economics

The course is not on the list Without time-table
Code Completion Credits Range
W38O003 ZK 5P+0C
Garant předmětu:
Lecturer:
Tutor:
Supervisor:
Department of Management and Economics
Synopsis:

Course enlarges student knowledge of statistical and decision-making techniques and operational analysis techniques used in the economy: descriptive statistics, regression and correlation analysis, time series, probability, statistical estimation, verification of statistical hypotheses, CPM and PERT, inventory management, linear programming, simulation methods (Monte Carlo), renewal and maintenance, structural analysis, econometric models including index analysis.

Requirements:

content-area of the exam: particular curriculum chapters

Syllabus of lectures:

Description statistics. Regression and correlation analysis. Probabilistic models (distribution). Random selection and selective distribution. Statistical estimation. Verification of statistical hypotheses. Decision making under uncertainty. Analysis of variance. Phases of decision analysis and modeling. Models of linear programming. Models of inventory management. Renewal and maintenance. Queuing models. Models of reliability. Structural models. Models of processes. Simulation models. Extremes of functions of one variable and several variables. Econometric models.

Syllabus of tutorials:

Consultation form

Study Objective:
Study materials:

Kožíšek, Jan: Statistika, V ČVUT, Praha 2006;

Kožíšek, Jan: Operační a systémová analýza II, ES ČVUT, Praha 1991;

Gros, Ivan: Kvantitativní metody v manažerském rozhodování, Grada, Praha 2006;

Kožíšek, Jan, Stieberová, Barbora: Statistická a rozhodovací analýza, VČVUT, Praha 2014;

Kožíšek, Jan: Ekonomická statistika a ekonometrie, VČVUT, Praha 2005;

Wisniewski, M.: Metody manažerského rozhodování, Grada Publishing, Praha 1996; Kožíšek, Jan, Stieberová Barbora: Statistika v příkladech, Verlag Dashöfer, Praha 2012

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-04-17
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