Course detail

Programming and Algorithms 1

FEKT-BPC-PP1Acad. year: 2022/2023

The whole course will be taught in the MATLAB environment (or its freeware alternatives). Students will learn matrix operations, logical and relation operators. Next, advanced data types (e.g. complex numbers, structures, cells), program controlling methods (if-elseif-else conditions, for and while cycles, switch-case structures) will be taught. Methods for a program acceleration like the vectorization and code optimization will be emphasized. Students will learn about the object oriented programming basics and graphical user interface.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Petr Kadlec, Ph.D.

Department

Department of Radio Electronics (UREL)

Learning outcomes of the course unit

The graduate is able to:
1) Process maThe graduate is able to:
1) Process matrix operations in MATLAB.
2) Transform mathematical algorithms into MATLAB functions.
3) Plot 2D a 3D functions.
4) Create MATLAB applications with graphical user interface.
5) Write well-arranged and understandable code according to programming conventions.
trix operations in Matlab.
2) Transform mathematical algorithms into Matlab functions.
3) Plot 2D a 3D functions.
4) Create Matlab applications with graphical user interface.
5) Write well-arranged and understandable code according to programming conventions.

Prerequisites

The subject knowledge on the secondary school level is required.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods include lectures and computer laboratories. Course is taking advantage of e-learning (Moodle) system. Students have to elaborate a single project/assignment during the course. The subject will be thought in a distance form in case of necessity..

Assesment methods and criteria linked to learning outcomes

Students can obtain 30 points for the activity in computer practices, 20 points for tests during the semester, 50 points (maximally) for an individual project in MATLAB.

Course curriculum

1. Introduction, history of MATLAB, alternatives, coding conventions, script.
2. Matrix creation, matrix operations, indexing, logical and relational operations.
3. Advanced data types (complex numbers, char, logical, structures, cell).
4. Program controls, conditions, cycles.
5. Functions- header, local vs. global variables and Workspace.
6. Functions - handle, vectorization, code optimization, bsxfun, arrayfun, cellfun.
7. Graphics – plotting options, tex commands.
8. File management – read and write.
9. GUI – graphical user interface, appdesigner interface.
10. GUI - graphical user interface and uicontrols.
11. OOP - class/object, properties and methods, constructor, set, get.
12. OOP - inheritance, access, namespace, enumeration.
13. Simulink basics.

Work placements

Not applicable.

Aims

Students should learn basics of programming and algorithms. The subject will be taught in MATLAB which is a programming language oriented on algorithms (no variables allocation or memory management is needed in comparison to the C language). Next, students should get used to good programming habits (the atomization, code structure, comments, variable names etc.) After this course, students should be able to build their own toolbox with a graphical user interface (GUI).

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

Evaluation of activities is specified by a regulation, which is issued by the lecturer responsible for the course annually.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Cormen, Thomas H., et al. Introduction to algorithms. MIT press, 2009. (CS)
MATLAB Primer. Www.mathworks.com [online]. 3 Apple Hill Drive Natick, MA 01760-2098: The MathWorks, 2017 [cit. 2017-08-21]. Dostupné z: https://www.mathworks.com/help/pdf_doc/matlab/getstart.pdf (CS)

Recommended reading

VALENTINE, D. T. a Brian D. HAHN. Essential MATLAB for engineers and scientists. 3rd ed. London: Butterworth Heinemann, 2007. (CS)

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme BPC-ECT Bachelor's 1 year of study, summer semester, compulsory

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

doc. Ing. Petr Kadlec, Ph.D.

Syllabus

1. Introduction, history of Matlab, alternatives, coding conventions, script.
2. Matrix creation, matrix operations, indexing, logical and relational operations.
3. Advanced data types (complex numbers, char, logical, structures, cell).
4. Program controls, conditions, cycles.
5. Functions- header, local vs. global variables and Workspace.
6. Functions - handle, vectorization, code optimization, bsxfun, arrayfun, cellfun.
7. Graphics – plotting options, tex commands.
8. File management – read and write.
9. GUI – graphical user interface, guide interface.
10. GUI - graphical user interface and uicontrols.
11. OOP - class/object, properties and methods, constructor, set, get.
12. OOP - inheritance, access, namespace, enumeration.
13. Simulink basics.

Exercise in computer lab

39 hod., compulsory

Teacher / Lecturer

doc. Ing. Petr Kadlec, Ph.D.
Ing. Martin Ptáček

Syllabus

see lectures

Elearning

eLearning: currently opened course