SubjectsSubjects(version: 858)
Course, academic year 2019/2020
  
Applied PC Techniques - N321015
Title: Aplikovaná výpočetní technika
Guaranteed by: Department of Carbohydrates and Cereals (321)
Actual: from 2019
Semester: winter
Points: winter s.:3
E-Credits: winter s.:3
Examination process: winter s.:
Hours per week, examination: winter s.:1/2 MC [hours/week]
Capacity: unlimited / unlimited (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Level:  
For type:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Pour Vladimír Ing. CSc.
Z//Is interchangeable with: M321003
Annotation -
Last update: TAJ321 (18.12.2013)
Students on simple examples get familiar with basic statistical concepts and basic statistical operations. The necessary mathematical operations are designed using programmed functions in Excel spreadsheet. Emphasis is placed on evaluating statistical conclusions from both the model and from actual operating data.
Aim of the course -
Last update: TAJ321 (26.09.2013)

Students will be able to:

  • master the basic statistical and probability concepts
  • assess the statistical ensemble using basic statistical characteristics
  • use statistical functions in MS Excel to process the data files

Literature -
Last update: TAJ321 (03.10.2013)

R:Excel Guide

R:STATISTICS Methods and Applications, Statsoft

Learning resources -
Last update: TAJ321 (02.10.2013)

Mathematics I

Chemical Engineering I

Teaching methods - Czech
Last update: TAJ321 (19.11.2012)

Přednášky, cvičení, samostatné projekty

Závěrečný test

Syllabus -
Last update: TAJ321 (26.09.2013)

1. Parameters and sample

2. Second Analytical results, measurement errors

3. Testing results

4. Rating experimentally observed dependence

5. Regression, correlation, extrapolation and interpolation

6. Evaluation of granulometric spectra

7. Processing of statistical analyzes on computers I. (Excel)

8. Development of statistical analysis on computers II. (Excel)

9. Working with data files

10. The calculation of statistical characteristics

11. Regression methods I.

12. Regression methods II.

13. Graphical presentation of the results I.

14. Graphical presentation of results II.

Registration requirements -
Last update: TAJ321 (02.10.2013)

None.

Teaching methods
Activity Credits Hours
Účast na přednáškách 1 28
Práce na individuálním projektu 0,7 20
Příprava na zkoušku a její absolvování 0,3 8
Účast na seminářích 1 28
3 / 3 84 / 84
Coursework assessment
Form Significance
Regular attendance 30
Report from individual projects 30
Examination test 40

 
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