Course detail

Informatics

FP-infPAcad. year: 2021/2022

The course focuses on the following topics: user competence in Windows operating systém, application software for personal computers (within Windows, work with MS Word text editor, MS Excel chart processor, fundamentals of MS Access databases).

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Learning outcomes of the course unit

Students will be made familiar with new trends in IT development in the area of PC architecture. They will acquire skills necessary for using MS Windows operating system and MS Office application instrument. These skills and experience may be used by them as an tool for elaborating projects and tasks in other courses.

Prerequisites

1. Basic competence in PC (theoretical and practical)
2. Basic competence in MS Windows operating system.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The lessons consist of two-hour lecture and two-hour practical seminar. The lecture combines theory with illustrative examples. Exercises are focused on practical topics presented in lectures.

Assesment methods and criteria linked to learning outcomes

Conditions for awarding the course-unit credit:
1. Delivery of semester project marked at least with "E".
2. Completion of a written test in the course of semestr marked at least with "E".

Form of examination: Combined, composed of two parts:
1. Written part – case study from the field of fundamentals of databases
2. Practical part – solution of a task on PC regarding the practical knowledge of acquired topics.

Course curriculum

1.Introduction to Computer Science, conversions of units, ASCII and UNICODE.
2. Numerical systems, transmissions.
3. MS Outlook - an example of working with e-mail.
4. MS PowerPoint - basic concepts, creation of presentations, demonstration of animation and transition possibilities.
5. MS Word - basic concepts, text formatting using styles, working with content.
6. MS Word - pictures, spreadsheets, charts, work with sections, links.
7. MS Word - Mailings
8. MS Excel - basic concepts, formatting, sorting of data.
9. MS Excel - filtering, functions and formulas.
10. MS Excel - preparation of data for charts, creating charts, graphical solution of tasks.
11. MS Excel - Pivot Table and Chart.
12. Fundamentals of Data Modelling - Introduction to the Problem.
13. Fundamentals of Data Modelling - relational data model.

Work placements

Not applicable.

Aims

The main objective of the course is to provide students with the knowledge and skills necessary for solution of tasks in the field of computer technology focused on software: operating systems (MS Windows), application software (MS Office). The course is also focused on fundamentals of data modeling.

Specification of controlled education, way of implementation and compensation for absences

Control of results of independent work on specified tasks. In case of absence from seminars, teacher can set elaboration of additional task.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

KLATOVSKÝ, Karel. Excel 2021 / 365: nejen pro školy. Prostějov: Computer Media, 2023. 1. vyd. 128 s. ISBN 978-80-7402-451-1. (CS)
KLATOVSKÝ, Karel. Word 2021 / 365: nejen pro školy. Prostějov: Computer Media, 2023. 1. vyd. 120 s. ISBN 978-80-7402-450-4. (CS)

Recommended reading

Pecinovský Josef a Rudolf Pecinovský. Office 2016 Průvodce uživatele. Praha: Grada, 2016. 1. vyd. 256 s. ISBN 978-80-247-5691-2. (CS)

Elearning

Classification of course in study plans

  • Programme BAK-PM Bachelor's 1 year of study, winter semester, compulsory
  • Programme BAK-UAD Bachelor's 1 year of study, winter semester, compulsory

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Syllabus

Topics of seminars are as follows:
- Introduction to Informatics
- Application software (MS Excel, MS Word, MS PowerPoint)
- Data Modeling (Relational Data Model)

Elearning