SubjectsSubjects(version: 901)
Course, academic year 2021/2022
  
Practice in Computer Science - MS710P18
Title: Výpočetní technika (pro geologické obory)
Czech title: Výpočetní technika (pro geologické obory)
Guaranteed by: Institute of Applied Mathematics and Information Technologies (31-710)
Faculty: Faculty of Science
Actual: from 2021
Semester: summer
E-Credits: 3
Examination process: summer s.:
Hours per week, examination: summer s.:2/1 C [hours/week]
Capacity: 65
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Note: enabled for web enrollment
Guarantor: Mgr. Tomáš Ondovčin, Ph.D.
Teacher(s): RNDr. Jiří Makovička, CSc.
Mgr. Tomáš Ondovčin, Ph.D.
Annotation -
Last update: RNDr. Jiří Makovička, CSc. (02.05.2016)
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.
Literature - Czech
Last update: RNDr. Jiří Makovička, CSc. (17.06.2020)

* 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

http://web.natur.cuni.cz/~jmakov/index.html

https://www.nceas.ucsb.edu/files/scicomp/Dloads/RProgramming/BestFirstRTutorial.pdf

http://www.tutorialspoint.com/r/

http://www.r-tutor.com/r-introduction

http://www.datasciencemadesimple.com/learn-r-what-is-r/

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






Requirements to the exam - Czech
Last update: RNDr. Jiří Makovička, CSc. (02.05.2016)

Zápočet je formou testu - samostatné řešení dvou příkladů na počítači.

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

* Basic algorithms of numerical mathematics and solving of them in R. 

*How to present scientific work. 

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

 
 
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