Course detail

Programming and Algorithms 2

FEKT-BKC-PP2Acad. year: 2023/2024

Algorithms in MATLAB. Introduction to Python. Basic data types and statements. Algorithms in Python: transcript of selected MATLAB routines. Advanced data types (sets, collections). Creating and calling functions. Local and recursive functions, control structures and functions. Modules and packages. Files operations. Object-oriented programming. Graphical user’s interface. Examples of applications.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Dr. Ing. Zbyněk Raida

Department

Department of Radio Electronics (UREL)

Entry knowledge

The subject knowledge on the secondary school level is required.

Rules for evaluation and completion of the course

Evaluated computer exercises: 11 x 3 = 33 points. Tests during semester: 2 x 10 = 20 points. Individual project in Python: 47 points.


The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Aims

To educate students in algorithmic and programming thinking. To explain basic properties and structures of Python language.
Obtaining basic programming abilities and algorithmic thinking. Understanding fundamentals of Python.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

LUTZ, M. Learning Python, 5/E. Sebastopol (Canada): O’ Reilly Media, 2013. ISBN: 978-1-449-35573-9 (CS)
BEAZLEY, D., JONES B.K. Python Cookbook, 3/E. Sebastopol (Canada): O’ Reilly Media, 2013. ISBN: 978-1-449-34037-7 (CS)

Recommended reading

Not applicable.

eLearning

eLearning: currently opened course

Classification of course in study plans

  • Programme BKC-EKT Bachelor's, 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

prof. Dr. Ing. Zbyněk Raida

Syllabus

1. Algorithmization (extensions of basic knowledge from the previous semester). Definition of the task, the definition of inputs / outputs, expressing
an algorithm in meta-language, rewritting into programming language.
2. Introduction to C language. Basic types of variables, derived types, constants, arrays.
3. Expressions, arithmetic conversions, arithmetic operators, shift operators, relation operators, logical operators, bitwise operators, assignment
operators, operator priority.
4. Strings and their operators, library functions, standard library string.h.
5. Commands, compound statements, branching commands, cycles and control commands. Flowchart.
6. Function. Declaration of functions, methods of function calling, treatment events, recursion of functions.
7. Advanced data types. Union, enum, dynamic variable, pointer.
8. Objects. Lexical elements, constants and strings, classes, objects, object types.
9. User interface of Microsoft Visual C++ Studio. Graphical components.
10. Algorithms I. Finding maxima and minima, sorting.
11. Algorithms II. Programming with arrays, matrices operations.
12. Algorithms III. Programming with files in Windows.
13. Algorithms IV. Database systems. Records, sorting, searching, statistics. Linking of databases.

Exercise in computer lab

26 hours, compulsory

Teacher / Lecturer

prof. Dr. Ing. Zbyněk Raida

Syllabus

1. Algorithmization (extensions of basic knowledge from the previous semester). Definition of the task, the definition of inputs / outputs, expressing
an algorithm in meta-language, rewritting into programming language.
2. Introduction to C language. Basic types of variables, derived types, constants, arrays.
3. Expressions, arithmetic conversions, arithmetic operators, shift operators, relation operators, logical operators, bitwise operators, assignment
operators, operator priority.
4. Strings and their operators, library functions, standard library string.h.
5. Commands, compound statements, branching commands, cycles and control commands. Flowchart.
6. Function. Declaration of functions, methods of function calling, treatment events, recursion of functions.
7. Advanced data types. Union, enum, dynamic variable, pointer.
8. Objects. Lexical elements, constants and strings, classes, objects, object types.
9. User interface of Microsoft Visual C++ Studio. Graphical components.
10. Algorithms I. Finding maxima and minima, sorting.
11. Algorithms II. Programming with arrays, matrices operations.
12. Algorithms III. Programming with files in Windows.
13. Algorithms IV. Database systems. Records, sorting, searching, statistics. Linking of databases.

eLearning

eLearning: currently opened course