Course unit code:
N400T0_4I
Course unit title:
Creation of Scientific Documents
Mode of delivery, planned learning activities and teaching methods:
seminar – 2 hours weekly (on-site method)
Credits allocated:
2
Recommended semester:
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Level of study:
2.
Prerequisites for registration:
none
Assesment methods:
The course is evaluated as follows: 30% work during the semester, 70% written examination. Evaluation scale follows the standard scale of the faculty.
Learning outcomes of the course unit:
Student has knowledge how to create scientific documents with both WYSIWYG and transformation methods. He/she is able to work with bibliographic information, correctly cite various sources. Students can work with typesetting tool LaTeX, can generate in batch different presentation and print outputs. He/she also has knowledge about structured text systems as XML or DocBook.
Course contents:
1. Introduction to writing of scientific documents
2. Advantages and drawbacks of WYSIWYG systems
3. MS Word, Libre Office, Google Docs and their use
4-10 LaTeX
4. Introduction
5. Mathematical constructs
6. Management of large documents
7. Bibliographies
8. Figures, tables
9. Graphs and diagrams
10. Export formats
11-13 Other documentation systems
11. XML formats
12. DocBook - introduction
13. DocBook - transformations
Recommended or required reading:
Basic:
  • KOPKA, H. – DALY, P W. Latex. Podrobný průvodce. Brno : Computer Press, 2004. 576 s. ISBN 80-722-6973-9.
  • MITTELBACH, F. – GOOSSENS, M. The Latex Companion. Reading : Addison-Wesley, 1994. 527 s. ISBN 0-201-54199-8.
  • GOOSSENS, M. – RAHTZ, S. – SUTOR, R S. – GURARI, E M. – MOORE, R. The LATEX web companion: Integrating TEX, HTML, and XML. Reading : Addison-Wesley, 1999. 522 s. ISBN 0-201-43311-7.
Language of instruction:
Slovak, English
Assessed students in total:
11

A 100 %

B 0 %

C 0 %

D 0 %

E 0 %

FX 0 %

Name of lecturer(s):
J. Holaza, M. Mojto (2022/2023 – Winter)
M. Mojto (2021/2022 – Winter)
M. Mojto (2020/2021 – Winter)
M. Mojto (2019/2020 – Winter)
M. Fikar (2018/2019 – Winter)
M. Fikar (2015/2016 – Winter)
Course supervisor:
prof. Ing. Miroslav Fikar, DrSc.
Last modification:
19. 9. 2019

Department:
Department of Information Engineering and Process Control

AIS: 2021/2022   2019/2020   2018/2019   2017/2018  

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