Course detail

Introduction to Computer Science

FSI-TUPAcad. year: 2022/2023

The course deals with selected tools of software modeling, which are often used in engineering practice. The variables, commands, data import/export, plotting, procedures, and functions are presented. Basic rules of program development are demonstrated in Matlab language. Matlab capabilities are illustrated using examples of simple optical problems. The course is recommended especially for students with little to no programming experience.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

Mgr. Věra Kollárová, Ph.D.

Department

Institute of Physical Engineering (ÚFI)

Learning outcomes of the course unit

Students will acquire the basic knowledge of modeling processes and solving problems using tools of Matlab. Students will learn the basics of imperative programming.

Prerequisites

Prerequisites are not required.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught in the form of hands-on sessions, where fundamental principles and theory are explained, and acquired knowledge is directly used in practical problems.

Assesment methods and criteria linked to learning outcomes

Course-unit credit - based on project processing

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim is to master the use of computers to solve problems focused on technical and mathematical processes modeling.

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

Attendance at seminars is obligatory. The form of compensation for missed seminars is entirely in the competence of a tutor.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

1. Wirth, N.: Algorithms and Data Structures (EN)
2. Palm, W.J., Introduction to MATLAB for Engineers, 2004. (EN)
3. Hanselman, D. C.: Mastering Matlab 6: A Comprehensive Tutorial and Reference, 2001 (EN)

Recommended reading

1. Hanselman, D. C.: Mastering Matlab 6: A Comprehensive Tutorial and Reference, 2001 (EN)
2. Dušek F.: Matlab a Simulink úvod do používání, 2000. (CS)
3. Karban, P.: Výpočty a simulace v programech Matlab a Simulink, Computer Press, Brno, 2006 (CS)
4. Palm, W.J., Introduction to MATLAB for Engineers, 2004. (EN)

Classification of course in study plans

  • Programme N-PMO-P Master's 1 year of study, winter semester, elective

Type of course unit

 

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Miroslav Ďuriš, Ph.D.

Syllabus

1. Variables, data types and structures, simple expressions and operators.
2. Data and visualisation.
3. Cycles and conditions.
4. Vectors and matrices.
5. Functions I: built-in functions, user defined functions, parameter types.
6. Functions II: functions with multiple parameters and return values, recursive functions.
7. Numerical integration and derivation. Solving some optical problem.
8. Basics of image handling and processing.
9. Fourier transform and its application in practice.
10. Principles of Matlab optimal computing.
11. Implementation and solving problems of optics.
12. Individual project.
13. Presentation (submission) of the individual project.