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Course info
KPV / ZAT
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Course description
Department/Unit / Abbreviation
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KPV
/
ZAT
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Fundamentals of analysis for engineers
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
6
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
2
[Hours/Week]
Tutorial
3
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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|
|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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KPV/EKM
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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KPV/ZSZP1
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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The aim of the course is to provide students with basic knowledge in the field of analyses used in a manufacturing company. The main part of the course focuses on individual relevant analyses of the production process, e.g.: analysis of production volume as a time series; classification, relational and causal analysis and their application to the production environment; production analysis; evaluation of technical products and production processes.
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Requirements on student
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Exam:
- combined exam
Credit:
- solving and writing the examples given in the exercises
- presentations on a topic assigned by the teacher
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Content
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Application of the basic knowledge from the economic analysis with a focus on the manufacturing enterprise. In seminars specific calculations are performed in relation to the different areas presented.
1. Introduction to econometrics; Production capacity - the effect of sub-indicators on the change in production capacity
2. Economic statistics; Analysis of production volume as a time series
3. General methods of economic analysis; Regression and correlation analysis of production data
4. Economic-statistical indicator calculations; Measurement of costs, production volume and efficiency of a manufacturing enterprise
5. Cost analysis, standard cost method and demonstration of its practical application on production data
6. Financial analysis and demonstration of its practical application to a manufacturing enterprise
7. Econometric analysis of the main parts of the production process
8. Elasticity of economic functions; Elasticity of productivity of production factors
9. Cost models and dynamic costing and their application to the production environment
10. Econometric models and their application to the production environment
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Activities
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Fields of study
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Základní studijní opory jsou dostupné elektronicky na courseware stránkách předmětu.
Studentům je dále k dispozici rozšiřující kurz v SW platformě Proauthor obsahující doplňující informace a materiály.
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Guarantors and lecturers
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Literature
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Basic:
Hančlová, Jana. Ekonometrické modelování : klasické přístupy s aplikacemi. 1. vyd. Praha : Professional Publishing, 2012. ISBN 978-80-7431-088-1.
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Basic:
Synek, Miloslav; Kopkáně, Heřman; Kubálková, Markéta. Manažerské výpočty a ekonomická analýza. Vyd. 1. V Praze : C.H. Beck, 2009. ISBN 978-80-7400-154-3.
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Extending:
Vochozka, Marek. Metody komplexního hodnocení podniku. Praha: Grada, 2020. ISBN 978-80-271-1701-7.
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Extending:
Jurová, Marie. Výrobní a logistické procesy v podnikání. První vydání. Praha: Grada, 2016. ISBN 978-80-247-5717-9.
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Recommended:
Scholleová, Hana. Ekonomické a finanční řízení pro neekonomy. 3., aktualizované vydání. 2017. ISBN 978-80-271-0413-0.
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Recommended:
Tomek, Gustav; Vávrová, Věra. Integrované řízení výroby : od operativního řízení výroby k dodavatelskému řetězci. 1. vyd. Praha : Grada, 2014. ISBN 978-80-247-4486-5.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Preparation for an examination (30-60)
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45
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Graduate study programme term essay (40-50)
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40
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Presentation preparation (report) (1-10)
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5
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Preparation for comprehensive test (10-40)
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20
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Contact hours
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50
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Total
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160
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
define basic economic variables such as costs, revenues and profit |
to know mathematical methods for interleaving discrete points within a curve |
describe and explain relations among individual production factors |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
apply the least squares method |
use cost calculations in specific cases |
calculate the consumption of production factors for a specific production task |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
- make decisions independently and responsibly on the basis of a framework assignment in a context that is only partially known,
- communicate clearly and persuasively to experts and laypeople the nature of professional problems and their own views on their solution,
- independently acquire further professional knowledge, skills and competences based primarily on practical experience and its evaluation, but also by independent study of theoretical knowledge in the field, |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
explain different types of economic indicators |
clarify the principle of pyramidal decomposition of indicators |
explain simple econometric models |
Skills - skills resulting from the course: |
analyze the revenues, costs and profit of the company using economic-statistical methods |
analyze production |
propose precautions to eliminate production shortcomings based on the analysis of production |
Competences - competences resulting from the course: |
N/A |
N/A |
- communicate their own professional opinions to experts and the wider public in a clear and convincing manner,
- make independent and responsible decisions in new or changing contexts or in a fundamentally evolving environment, taking into account the wider societal implications of their decisions, |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Seminar work |
Individual presentation at a seminar |
Skills - skills achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Seminar work |
Competences - competence achieved by taking this course are verified by the following means: |
Combined exam |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Interactive lecture |
Self-study of literature |
Multimedia supported teaching |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Individual study |
Multimedia supported teaching |
Task-based study method |
Competences - the following training methods are used to achieve the required competences: |
Interactive lecture |
Multimedia supported teaching |
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