Course detail

Data Processing

FP-zdPAcad. year: 2024/2025

The course is understanding the nature of the data from various sources and to gain knowledge allowing them to analyze and process skills, including presentation in an appropriate form for management decision support.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Jiří Kříž, Ph.D.

Department

Institute of Informatics (ÚI)

Entry knowledge

Knowledge of working with MS Office.

Rules for evaluation and completion of the course

Course completion

Conditions for graded credit: The student must obtain at least 50% of the possible maximum points during the semester, i.e. 15 points out of 30. If plagiarism or unauthorized cooperation on projects or the mid-term test is discovered, the credit will not be granted and disciplinary proceedings may be considered. Mid-term test - preparation of a practical task according to the assignment. There is no make-up date. (max. 9 points). Participation in the test is mandatory. To obtain graded credit, it is necessary to obtain at least 3 points from the test.

Project preparation - one project according to the assignment with the relevant documentation. Students are introduced to the assignment in the third lecture. (max. 21 points). Submission and defense of the project in the credit week.

Course completion for students with individual study:

Project preparation - one project according to the assignment with the relevant documentation. The assignment will be displayed in e-learning from the third week of the semester.

Attendance at the lecture and exercises is not mandatory.

Aims

The aim is understanding the nature of the data from various sources and to gain knowledge allowing them to analyze and process skills, including presentation in an appropriate form for management decision support.
Learning outcomes - general competencies:
The skills associated with the use and treatment of information.
The ability of analysis and synthesis, application knowledge in practice, solve problems independently
Industry-specific competencies:
Students understand the principles of data acquisition, gain knowledge of data processing in information systems and their adaptation for presentation.
Learning outcomes - general competencies:
The skills associated with the use and treatment of information.
The ability of analysis and synthesis, application knowledge in practice, solve problems independently
Industry-specific competencies:
Students understand the principles of data acquisition, gain knowledge of data processing in information systems and their adaptation for presentation.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

BARILLA, J. Microsoft Excel 2013 :podrobná uživatelská příručka. Brno: Computer Press, 2013. 1. vyd. 496 s. ISBN 978-80-251-4114-4.
KŘÍŽ, J. Zpracování dat. Učební text. VUT v Brně, fakulta podnikatelská.(bude vydáno v září 2015).

Recommended reading

CONOLLY, T., C. BEGG a R. HOLOWCZAK. Mistrovství – Databáze : Profesionální průvodce tvorbou efektivních databází. 1.vyd. Brno: Computer Press, 2009. 584 s. ISBN 978-80-251-2328-7.
LACKO, L. Jak vyzrát na SQL Server 2008. Brno: Computer Press, 2009. 469 s. ISBN 978-80-251-2101-6.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme BAK-EP Bachelor's 2 year of study, summer semester, compulsory-optional
  • Programme BAK-PM Bachelor's 1 year of study, summer semester, compulsory
  • Programme BAK-UAD Bachelor's 2 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

Ing. Jiří Kříž, Ph.D.

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Dita Kindlová
Ing. Lukáš Václavík

Elearning

eLearning: currently opened course