Course detail
Algorithms and Programming
CESA-SPRGAcad. 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 language Python, which will be used for solving simple problems.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
- 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
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
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
2. Introduction to Python
3. Review of basic data structures and their use
4-5. The basic elements of the program, loops, recursion
6. Algorithmic numerical methods
7. Sorting algorithms
8. Search algorithms
9. Text search
10. Removal of recursion and optimization algorithms
11. Toolboxes
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
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
Elearning
Classification of course in study plans
- Programme SPC-STC Bachelor's 1 year of study, summer semester, compulsory
Type of course unit
Elearning