SubjectsSubjects(version: 901)
Course, academic year 2021/2022
Practice in Computer Science - MS710P07A
Title: Výpočetní technika
Czech title: Výpočetní technika
Guaranteed by: Institute of Applied Mathematics and Information Technologies (31-710)
Faculty: Faculty of Science
Actual: from 2021
Semester: both
E-Credits: 2
Hours per week, examination: 1/1 C [hours/week]
Capacity: 105
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Note: enabled for web enrollment
you can enroll for the course in winter and in summer semester
Guarantor: RNDr. Jiří Makovička, CSc.
Teacher(s): RNDr. Jiří Makovička, CSc.
Mgr. Tomáš Ondovčin, Ph.D.
Ing. Stanislav Saic, CSc.
Attributes: Modul Ostatní předměty
Incompatibility : MS710P07B
Is incompatible with: MS710P07B
Annotation -
Last update: RNDr. Jana Rubešová, Ph.D. (25.10.2019)
Lectures are designated for bachelor students of natural science. The goal of lectures is understanding of principles of working with personal computer (file system, network, tables, graphs, databases, and principles of programming). After this training students should have knowledge of effective using PC in their work and they should gain prerequisites for special computer courses as GIS, statistical programs, Matlab programming etc.
Please note, the lectures are given in Czech language only.
Literature -
Last update: RNDr. Jana Rubešová, Ph.D. (25.10.2019)

* Ruth Maran: Poznejte svůj počítač.
Computer Press, Brno

* Jiří Makovička: Excel pro přírodovědce.
Nakladatelství Karolinum 2016

* Kolektiv autorů: Microsoft Access 2002/2003 - Jednoduše, srozumitelně, názorně. 
Computer Press, Brno

* Kolektiv autorů:Microsoft Office Word 2003 - Jednoduše, srozumitelně, názorně.
Computer Press, Brno

* Kolektiv autorů:Microsoft Office Excel 2003 - Jednoduše, srozumitelně, názorně.
Computer Press, Brno

* Jozef Petro: Výkladový slovník Internetu
Computer Press, Brno

* Richard Cotton: Learning R - A Step-by-Step Function Guide to Data Analysis
O'Reilly 2013

* Jaroslav Černý: Excel 2000, 2002, 2003 záznam, úprava a programování maker
GRADA Publishing, Praha

Requirements to the exam -
Last update: RNDr. Jiří Makovička, CSc. (13.10.2021)

Please note, the lectures are given in Czech language only.

Student must independently solve two exercises on computer.

Syllabus -
Last update: RNDr. Jiří Makovička, CSc. (24.02.2021)

*Work on computer network, basic skills.                                                                                                              

Work on personal computers in the computer network of the faculty, especially computer classrooms and study rooms, data organization, information sources of the Faculty of Science, basic operations common to all program products. Information on the types of the most used applications (spreadsheets, databases, text editors and processors, mathematical applications, statistical applications, programming language environments, mail, web, ftp). - 1 lesson


*Working with tables and graphs - the basic tool of a naturalist                                                                             

Principles of spreadsheet, MS Excel. Calculations in data tables using absolute, relative and mix addressing. Graphs suitable and unsuitable for a given data type, function graphs, combined and custom graph types. Use of implemented functions: mathematical, logical, database, text, search. Information about statistical functions. All with examples - solving specific tasks. Working with data lists and databases - searching, using filters, summaries, sorting in the MS Excel environment.

Working with the R program in the RStudio environment. Basic R functions, graph making, R-programs (scripts). Data structures in R. - 5-6 lessons.


*Advanced techniques for working with a text editor.                                                                                               

Text editor with focus on formatting text, inserting objects (tables, pictures, graphs and formulas) and working with them. - 1 lesson.

*Introduction to programming.                                                                                                                                 

Creating a macro instruction in MS Excel. Principle explanation of common programs used for solving scientific problems and numerical modeling, components of the program (data input, executive unit, text and graphic output, menu). Explanation of basic standard programming constructions (commands) and their practical implementation in MS Excel - Visual Basic for applications. - 2 lessons


*How to present scientific work. 

Basic information about creating presentations. Creating your own website, basic information about HTML. - 2 lessons

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