230-0231/01 – Fundamentals of programming in Matlab (ZPM)

Gurantor departmentDepartment of MathematicsCredits2
Subject guarantorRNDr. Michaela Bobková, Ph.D.Subject version guarantorRNDr. Michaela Bobková, Ph.D.
Study levelundergraduate or graduateRequirementOptional
YearSemesterwinter + summer
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFASTIntended for study typesBachelor, Follow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
TUZ006 RNDr. Michaela Bobková, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 0+3
Part-time Graded credit 0+16

Subject aims expressed by acquired skills and competences

The aim of the course is to teach students how to think about programming. On simple examples, learn how to formulate a problem, analyze it, create an algorithm, build a program, and dictate it.

Teaching methods

Individual consultations
Tutorials

Summary

The course is designed for anyone who has no or has minimal programming experience. Students will learn the basics of algorithmization and programming, gain experience in creating flowcharts and their implementation. They will familiarize themselves with the basic building elements of programs such as cycles, conditional commands, variables, functions, etc. They will learn to program simple tasks using the Matlab program.

Compulsory literature:

K.Zaplatílek, B.Doňar: Matlab pro začátečníky, Technická literatura BEN, Praha 2003.

Recommended literature:

https://www.math.muni.cz/~kolacek/vyuka/vypsyst/navod.pdf https://www.tutorialspoint.com/matlab/index.htm

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

Individually developed program to course credits.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. INTRODUCTION - basic terms: program, algorithm, compilation, debugging, variable, identifier, data type, declaration, syntax, machine code, expressions, constants, fields, inputs, outputs, commands, cycles, conditions, functions. 2. Algorithm and its properties, algorithm notation, flowcharts, errors in algorithms, examples of algorithms, sequences, branches, cycles. Creating simple algorithms. 3. Basics of working with Matlab: User interface, help, variables, variable names, commands for working with variables, working with numbers, real numbers, rounding. - demonstration of simple matching algorithms (using variables, numbers) 4. Basics of working with Matlab: Vectors, generating arithmetic sequences, working with data, logical variable, true, false, relational operators, logical operators, function for determining the validity of conditions - demonstration of simple matching algorithms (using vectors, logic operations, ...) 5. Basics of working with Matlab: Matrices and vectors - input of matrices and vectors, functions for creating matrices, working with parts of matrices and vectors, operations with matrices and vectors, number of elements, dimension of matrix, manipulation with matrices - demonstration of simple matching algorithms (using matrices, vectors, ...) 6. Programming in Matlab: scripts, functional M-files, inputs and outputs, programming structures, conditional statements, cycles, switch, break and continue in cycles 7. Programming in Matlab: Functions and their calls - elementary mathematical functions, definitions of functions, constants and special variables. Program Debugging. 8. Realization of various types of algorithms in Matlab (sequence, branching, cycles, switch) 9. Sorting algorithms and their realization in Matlab 10. Graphs in Matlab: Plotting a graph, plotting multiple graphs at once, setting a graph 11. Processing type tasks. Work on individual programs. 12. Processing type tasks. Work on individual programs. 13. Processing of type tasks. Work on individual programs. 14. Credit programs, course credits.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100  51
Mandatory attendence parzicipation: At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse).

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