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
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
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
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
Prerequisites and corequisites
Basic literature
KŘÍŽ, J. Zpracování dat. Učební text. VUT v Brně, fakulta podnikatelská.(bude vydáno v září 2015).
Recommended reading
LACKO, L. Jak vyzrát na SQL Server 2008. Brno: Computer Press, 2009. 469 s. ISBN 978-80-251-2101-6.
Elearning
Classification of course in study plans
Type of course unit
Elearning