638-2002/02 – Computer graphics and data processing (PGZD)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits4
Subject guarantordoc. Ing. Ivo Špička, Ph.D.Subject version guarantordoc. Ing. Ivo Špička, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFMTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
FRI05 doc. Ing. Robert Frischer, Ph.D.
S1I28 doc. Ing. Ivo Špička, Ph.D.
SVE05 Ing. Pavel Švec, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 14+0

Subject aims expressed by acquired skills and competences

Students will know the basic hardware components and principles of their actions. Student will be able to decide on the appropriate use of graphics components. The student will understand: • principles of surface modeling; • the use of Excel functions for advanced calculations, solving linear and nonlinear problems, mathematical statistics and data modeling; • use a scripting language programming environment Matlab m to programmatically control data processing. Student will be able to: • create a surface model in a suitable graphical environment; • utilize advanced features of Excel; • write a program in MATLAB enviroment that will manipulate data, including their graphical presentation.

Teaching methods

Lectures
Tutorials
Project work

Summary

The course aims to introduce students to the Fundamentals of Computer Graphics the principles of a data processing. Students become familiar with basic software tools that use computer graphics and programs for surface modelling. Students will be familiar with the computer data analysis, the numerical solution of basic problems. In the Matlab environment they will learn and practice methods of validating the software processing of data.

Compulsory literature:

CHAPRA, S. C. Applied numerical methods with MATLAB for engineers and scientists. New York: McGraw-Hill, 2012. ISBN 978-0-07-340110-2. EVANGELINE, D. Computer Graphics and Multimedia. Delhi: PRENTICE-HALL OF INDIA, 2016. ISBN 978-81-203-5223-0.

Recommended literature:

HUGHES, J. F. Computer graphics: principles and practice. Upper Saddle River, New Jersey: Addison-Wesley, 2014. ISBN 978-0-321-39952-6.

Way of continuous check of knowledge in the course of semester

Individual projects.

E-learning

Další požadavky na studenta

Study of mandatory and recommended literature.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. The basic graphic elements, transformation in computer graphics. 2. Curves and their representation. Analytic geometry, points, vectors, lines, planes, polygons transformation. 3. Model of the scene, boundary representation. 4. Advanced spreadsheet functions. 5. Statistical evaluation of the data set. 6. Correlation analysis. Matrix calculations. 7. Solver in the field of mathematical programming, linear and nonlinear problems. 8. Formulation of mathematical programming, sensitivity analysis, the simplex method, gradient the method, genetic algorithms. 9. Basic programming constructs in an m-code. 10. Basic data types, arrays, cell (cell). 11. Basic data manipulation, transformation, analysis, basic mathematical operations. 12. The use of functions, basic functions to analyze a filter data. 13. Graphical presentation of of data, create charts, graphs adjustment. 14. Correlation function, linear, nonlinear.

Conditions for subject completion

Full-time form (validity from: 2018/2019 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 30  15
        Examination Examination 70  36
Mandatory attendence parzicipation: Attendance at seminars is at least 80 percent

Show history

Occurrence in study plans

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Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner