Course detail

Algorithms and Programming

FEKT-BPC-PRGAcad. year: 2020/2021

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 environment Matlab, where students programmed scripts and functions solving simple problems.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. Ing. Jana Kolářová, Ph.D.

Department

Department of Biomedical Engineering (UBMI)

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.

Prerequisites

Secondary-school knowledge of the study area.

Co-requisites

Not applicable.

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.

Course curriculum

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

Work placements

Not applicable.

Aims

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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Lee, Kent D ; Hubbard, Steve ; Cham: Data Structures and Algorithms with Python, Springer International Publishing ; 2015 Undergraduate Topics in Computer Science (EN)
Padmanabhan, T R: Programming with Python, Springer Nature Singapore Pte Ltd. 2016 (EN)

Recommended reading

Not applicable.

Elearning

eLearning: currently opened course

Classification of course in study plans

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

Type of course unit

 

Exercise in computer lab

39 hod., compulsory

Teacher / Lecturer

Ing. Kateřina Šabatová
Ing. Petra Novotná
Ing. Lukáš Hrbotický
doc. Ing. Jana Kolářová, Ph.D.
Ing. Vratislav Čmiel, Ph.D.
Ing. Radovan Smíšek, Ph.D.
Ing. Jakub Hejč, Ph.D.
Ing. Petr Hanák

Syllabus

1. The programming environment Matlab, parts, control
2. Work with the basic types of data, data loading, presentation of results
3. Basic mathematical problems, using the basic mathematical functions of Matlab
4. Practising the basic types of program branching, cycles in recursive problems
5. Creating scripts and functions
6. Creating simple data structures and work with elements
7. Design of simple functions for sequencing of elements by means of methods Select sort, Buble sort, Insert sort
8. Creating of a simple database, searching of texts
9. Individual projects, an outline of solutions, test (max 20 points)
10. Matlab graphical application interface Guide
11. Application of students‘ own functions to a simple graphic interface Guide
12. Submission and presentation of student work (max. 20 points)
13. Final test (max. 60 points), classified course-unit credit

Elearning

eLearning: currently opened course