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

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

Completion of the subject

Credit conditions: During the semester, the student must obtain at least 50% of the possible maximum points, i.e. 50 points out of 100. If plagiarism or illegal collaboration on projects or on the mid-semester test is detected, the credit will not be granted with the possibility of considering the initiation of disciplinary proceedings. Mid-semester test - preparation of a practical task according to the assignment with a focus on obtaining data from databases. There is no correction deadline. (max. 30 points).

Development of the project - one project according to the assignment with relevant documentation. Students are introduced to the assignment in the third lecture. (max. 70 points). Submission and defense of the project in the credit week.

Completion of the subject for students with individual study:

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

Attendance at lectures is not compulsory. Computer-aided exercises are compulsory, attendance is monitored. One of absence from seminars, teacher apologize. Student replace this lack of elaboration specifically assigned homework.

During the semester, written semester test for a maximum of 20 points. For this semester test, there is no retake. If a student is properly documented and teacher excused absence just in lessons, where he writes a midterm exam, you may report it to the alternative.

In the second lecture is given to students separate project for a maximum of 20 points. So this project was recognized for his student must obtain a minimum. 10 points. Student submits a project in the credit week.
Students who have Individual Study Plan, ie. They do not go into teaching for the credit must develop and submit a separate stand-alone project. For this particular project can get max. 30 points.

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).

Type of course unit

Lecture

13 hod., optionally

Teacher / Lecturer

Ing. Jiří Kříž, Ph.D.

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Jiří Kříž, Ph.D.

VUT

Faculties

University Institutes

Parts

Data Processing

Type of course unit