638-2001/03 – Computer Technology I (PT1)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits4
Subject guarantordoc. Ing. Ivo Špička, Ph.D.Subject version guarantordoc. Ing. Ivo Špička, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFMTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
BRE0098 Ing. Jan Březina
FRI0022 Ing. Michal Fridrich, MBA
FRI05 doc. Ing. Robert Frischer, Ph.D.
HEG30 doc. Ing. Milan Heger, CSc.
KLU0080 Ing. Miroslav Klus
KOZ0183 Ing. Ondřej Kozinski
LAP0028 Ing. Andrei Laptev
MEN096 Ing. Martin Menšík
PAS0062 Ing. Vít Pasker
PET0210 Ing. Cristian Petrachi
SLA0116 Ing. Jaroslav Sláčala
S1I28 doc. Ing. Ivo Špička, Ph.D.
SVE05 Ing. Pavel Švec, Ph.D.
SVO0120 Ing. Petra Svobodová
TOM0194 Ing. Antonín Tomeček
VOD0010 Ing. Daniel Vodák
ZIM018 Ing. Ondřej Zimný, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit 2+2
Combined Credit 16+0

Subject aims expressed by acquired skills and competences

Acquired knowledge: • Student will understand the principles of working with application software. • The student will be able to characterize the basic parts of the computer and the principles of computer work. • The student will understand and will be oriented to current trends in IT development. • Students will understand the basics of higher programming languages and the way of solving technical problems using the algorithm transferred to a higher programming language. Obtained skills: • Student will be able to use PC for normal work in his study. • The student will be able to use the Windows operating system features. • The student will be able to use the advanced features and analytical tools that are contained in the Office Office suite so that the computer becomes a tool for technical and scientific work for the student. • Student can design, implement and debug simple programs in a higher programming language.

Teaching methods

Lectures
Tutorials
Project work

Summary

The course introduces to students the basics of working with a personal computer. It introduces to students the hardware of the computer, the operating system, the basic application programs and the basic principles of the INDUSTRY 4.0 concept.

Compulsory literature:

TANENBAUM, A. S. Structured computer organization. Upper Saddle River: Pearson Prentice Hall, 2010. ISBN 0-13-148521-0.

Recommended literature:

CONNER, N. Office 2013: the missing manual. Beijing and Sebastopol: O’Reilly, 2013. ISBN 978144935708. BOTT, E. Windows 7 inside out. Redmond, Washington: Microsoft Press, a division of Microsoft Corporation, 2011. ISBN 9780735656925.

Way of continuous check of knowledge in the course of semester

Individual works, tests.

E-learning

Integrovaný systém modulární počítačové podpory výuky ekonomicko-technického zaměření (http://lms.vsb.cz)- Vzdělávací modul 1 – Počítačové systémy řízení metalurgických procesů. ŠPIČKA, I. Počítačová technika I. Studijní opory. Ostrava: VŠB-TU Ostrava, 2015.

Další požadavky na studenta

Graduation exercises in Computer technology 1

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Introduction to the subject. Modern Computer Concept, Neumann Computer Architecture, Harvard Architecture. 2. Basic hardware components of a personal computer, computer communication with the operator. 3. Developments and concepts of modern processors, trends in memory module development, external memory, hard drives, optical drives. 4. Modern peripherals, displays, printers, scanners, plotters. 5. Operating system and basic system hardware of the computer, BIOS, kernel, application interface. 6. Application software, basic user application program packages. 7. Advanced text editor features usable in technical and scientific practice. 8. Table Processor as a Tool of Technology and Scientist. 9. Scientific-technical calculations, numerical and solution-oriented optimization, analytical tools, tools for statistical processing and data analysis. 10. Algorithm properties, notation and description of algorithms. Algorithmic complexity. 11. Problem solving techniques. Design and implementation of algorithms. 12. Top-Down, Bottom-Up, Modular Programming, Object-Based Programming Methods. 13. Principles of higher programming languages. 14. Industry 4.0 Concept.

Conditions for subject completion

Full-time form (validity from: 2018/2019 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit Credit 100  51
Mandatory attendence parzicipation: At least 80 percent attendance at the exercises.

Show history

Occurrence in study plans

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Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner