Course detail
Introduction to Programming and Algorithmization
FSI-1PA Acad. year: 2021/2022 Winter semester
The content of the subject is mostly focused on general knowledge and skills concerning the use of high-level programming languages in engineering practice. Although the Matlab language is used, the same principles apply many similar languages (e.g. Python). The subject can be divided into three parts – Matlab basics, algorithmisation, and general programming principles and practical recommendations.
Language of instruction
Czech
Number of ECTS credits
6
Supervisor
Learning outcomes of the course unit
After finishing this subject, students are expected to be able to independently use the Matlab language to solve various engineering tasks. Basic knowledge gained here serves as a basis for studying (even self-studying) other languages in different applications. E.g. the C language for the programming of microcontrollers.
Prerequisites
Vectors and matrices, matrix calculus, Propositional calculus, basic computer skills.
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures. Teaching is supplemented by practical laboratory work.
Assesment methods and criteria linked to learning outcomes
The evaluation is based on the standard point system 0-100b. The students can get up to 70 points for 3 tests during the semester, 10 points for home assignments, and 20 points for the semestral project and its presentation. In all cases, especially the fulfillment of functional requirements and the quality of the realization are the evaluation criteria.
Aims
The goal of the subject is to get and develop the ability to make algorithms and solve the most common engineering and mathematical problems through practical experience, e.i. to decompose a complex task to a set of simple tasks so that it can be written in the Matlab syntax.
Specification of controlled education, way of implementation and compensation for absences
Attendance at practical training is obligatory. Attendance at exercises is checked. Attendance at lectures is not mandatory but recommended.
The study programmes with the given course
Programme B-MET-P: Mechatronics, Bachelor's, compulsory
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
Syllabus
1) Organisation, Matlab as an engineering tool
2) Basic Matlab syntax – variables, operators, control structures
3) Signals and plots
4) Data types and structures
5) Matrix operations and calculus
6) Functions and recursion
7) Algoritmisation
8) Practical algorithms
9) Object oriented programming
10) Graphical user interface
11) Good programming habits
12) Testing and version control
13) Programming languages and styles
Computer-assisted exercise
26 hours, compulsory
Teacher / Lecturer
Syllabus
1) Variables and indexation
2) Conditions
3) Cycles
3) Plots
4) Random numbers
5) Vectorisation
6) Functions and recursion
7) Algorithmic exercises 1
8) Algorithmic exercises 1
9) Structures and objects
10) Graphical user interface
11) Programming exercises – Timing and code profiling
12) Programming exercises – Data input and output
13) Programming exercises – Search algorithms