Algorithms and Programming
FEKT-APRGAcad. year: 2019/2020
The course is designed as an introduction to the problems of algorithms and programming. Students are introduced to the basic concepts of programming, development of algorithms and programs. The emphasis is on the design and implementation of programs. The knowledge of the basic elements of the program is required and students should be able to use these elements. Students are familiar with the programming in Python.
Learning outcomes of the course unit
Students are able to:
- propose algorithms of simple tasks,
- use basic elements of the program (variables, mathematical operations, conditions, loops, etc.),
- use an iterative and recursive procedures,
- designed algorithms written in the programming language Matlab - create scripts and functions,
- work with the basic data formats,
- create a search function and basic methods of sorting by known algorithms,
- use the features most used libraries,
- create own toolboxes of functions,
- own programs to describe and explain.
Secondary-school knowledge of the study area.
Recommended optional programme components
Recommended or required reading
Zaplatílek K, Doňar B: Matlab pro začátečníky, Technická literatura BEN, Praha 2003 (CS)
Zaplatílek K, Doňar B: Matlab tvorba uživatelských aplikací, Technická literatura BEN, Praha 2004 (CS)
Wirth N: Alorithms+Data Structures=Program, Prentice Hall, 1976 (EN)
Planned learning activities and teaching methods
Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.
Assesment methods and criteria linked to learning outcomes
Students must obtain at least 50 points out of total 100 points in the sub-activities:
1. test: Programming in Matlab (min 3 points, max 10 points)
2. test: Design of algorithms (min 3 points, max 10 points)
3. project: design a toolbox of functions (min 4 points, max 15 points) + technical documentation (min 3 points, max 10 points)
4. final test: (min 20 points, max 55 points)
Individual activities to check students' ability to design algorithms for solving simple problems and demonstrate the implementation of the relevant programs.
Language of instruction
1. Programming, algorithm, design of the program
2. Introduction to Python
3. Review of basic data structures and their use
4. The basic elements of the program, loops, recursion
5. Algorithmic numerical methods
6. Sorting algorithms
7. Search algorithms
8. Text search
9. Performance analysis algorithms
10. Removal of recursion and optimization algorithms
11. Advanced programming techniques
12. Toolboxes, Possibilities of using Python in other fields
The aim of the course is to introduce basic programming and learning habits. Further introduction to the programming environment Matlab and programming custom scripts and functions.
Specification of controlled education, way of implementation and compensation for absences
Computer exercises are mandatory, properly excused missed lectures can be compensated individually after discussion with teacher.
Type of course unit
Exercise in computer lab
39 hours, compulsory
Teacher / Lecturer
The other activities
13 hours, compulsory
Teacher / Lecturer
eLearning: currently opened course