Course detail

Introduction to Computer Science

FSI-TUP Acad. year: 2021/2022 Winter semester

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

2

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.

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

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.

The study programmes with the given course

Programme N-PMO-P: Precise Mechanics and Optics, Master's, elective

Type of course unit

 

Computer-assisted exercise

26 hours, compulsory

Teacher / Lecturer

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.