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
Supervisor
Department
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.