Course detail

Computer Evaluation of Experiments

FAST-CJ54Acad. year: 2019/2020

The preparation and evaluation of experiments, survey, the possibilities of utilization, the utilization of the table calculator EXCEL. Handling with experimental data - making ready and conserving the data, corrections.
Describing statistics, frequency tables and histograms. Statistical analysis of one or two variables, probability distribution. Initial data analysis, quartile graphs, dispersion variance and covariance analysis. Interpolation of data in selected distribution, critical values. Distribution functions – calculation, graphic presentation.
Tests of distribution, quality control, smoothing of dependence. Simple and multiple, linear and non-linear regression. Filtering of remote measurements. Description of graphs and its print. Methods for proposal of an experiment and the experiment evaluation.
Estimation and testing of hypotheses.
Optimization task, methods of seeking the extremes, analysis and the formulation of the linear and quadratic programming task. Problems from the building practice of seeking the optimum- transport task, mixing problem, composition of raw material mixtures, grain distribution in the ground material.
The subject doesn’t contain a part with lectures, the exercise has a calculation character.

Language of instruction

Czech

Number of ECTS credits

4

Guarantor

prof. RNDr. Ing. Stanislav Šťastník, CSc. Ph.D.

Department

Institute of Technology of Building Materials and Components (THD)

Learning outcomes of the course unit

The student would manage the goal of the subject by acquiring knowledge on statistical control of physical properties of construction material, testing the statistical accordance of used end-use properties, correlation analysis of parameters, use of statistical laws during production quality management, process management of the experiment, simulation and statistical processes.

Prerequisites

Basic Mathematics, basic work with PC

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1.Utilization of computer technique – PC – in building practice.
2.Fundamentals of work with data files.
3.Advanced work with data files – sorting and filtering of data.
4.Problems of data access, remote access to data and sharing of data files.
5.Utilization of PC technique in deciding processes.
6.Detailed acquainting with the medium MS Excel.
7.Work in the researcher’s table calculator Excel MS.
8.Fundamentals of data files statistic analysis.
9.Simple regression methods in MS Excel.The simplex method.The mixing task. The transport task.
10. Use solver for simple math problems in MS Excel
11. Use of optimization methods in industry and technology - algebraic basis of convex sets
12. The role of the quadratic optimization - optimization problem of the composition of the raw mix in cement production, optimization of mixing raw materials (particle size distribution, porosity distribution foamed plastic, etc.)
13. Non-deterministic optimization models - integer optimization (cutting plan, the problem with dividing panels in the production of the long lines), the optimization principle in the design of the heating system (heating media optimization distribution network)

Work placements

Not applicable.

Aims

Statistic control of building materials physical properties, testing of statistic accordance of selected utility properties. Correlation analysis of parameters, utilization of statistic regularities for production quality control.Control of processing experimental control, simulation and static processesAdaptive control method, uncertainty in technological processes evaluation.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Plesník, J., Dupačová, J., Vlach, M.: Lineárne programovanie. Alfa, Bratislava, 1990. neuvedeno. (SK)

Recommended reading

Duda, W. H.: Cement-Data-Book. Bauverlag Wiesbaden, 1977. neuvedeno. (EN)
Hušek, R., Lauber, J.: Simulační modely. SNTL/Alfa, 1987. neuvedeno. (CS)

Type of course unit

 

Lecture

13 hours, optionally

Teacher / Lecturer

prof. RNDr. Ing. Stanislav Šťastník, CSc. Ph.D.

Syllabus

1.Utilization of computer technique – PC – in building practice. 2.Fundamentals of work with data files. 3.Advanced work with data files – sorting and filtering of data. 4.Problems of data access, remote access to data and sharing of data files. 5.Utilization of PC technique in deciding processes. 6.Detailed acquainting with the medium MS Excel. 7.Work in the researcher’s table calculator Excel MS. 8.Fundamentals of data files statistic analysis. 9.Simple regression methods in MS Excel.The simplex method.The mixing task. The transport task. 10. Use solver for simple math problems in MS Excel 11. Use of optimization methods in industry and technology - algebraic basis of convex sets 12. The role of the quadratic optimization - optimization problem of the composition of the raw mix in cement production, optimization of mixing raw materials (particle size distribution, porosity distribution foamed plastic, etc.) 13. Non-deterministic optimization models - integer optimization (cutting plan, the problem with dividing panels in the production of the long lines), the optimization principle in the design of the heating system (heating media optimization distribution network)

Exercise

13 hours, compulsory

Teacher / Lecturer

prof. RNDr. Ing. Stanislav Šťastník, CSc. Ph.D.

Syllabus

1. use Řešitel / Solver in an MS Excel spreadsheet, 2. formulation of the computational model for use set of statistical functions in MS Excel, 3. construction division of discrete random variables, 4. construction division of continuous random variables, normal distribution function, 5. hypothesis testing, point and interval estimation, 6. Goodness use in the construction process, 7. quantification of risks and uncertainties credit, 8. determine the correlation dependence of two variables from practical measurements, 9. calculate the composition of cement raw mix called admissible solutions 10. utilization optimization principle in the design of track material mixture, mixing aggregate role, the role of determining the ratio for mixing the raw material mixture. 11. build a control chart production, mixing problem - the level of sensitivity of the partial raw materials to the final aggregate grading curve 12. permissible and impermissible solving optimization problems, build concrete cutting plan for dividing panels on long runs. 13. monitoring compliance with student assignments, grant credits.