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Course detail
FP-KinfPAcad. year: 2023/2024
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 databases).
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
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".3. Active participation in seminarsForm of examination: Combined, composed of two parts: 1. Written part – case study from the field of fundamentals of databases2. Practical part – solution of a task on PC regarding the practical knowledge of acquired topics.
The grade of the examination is determined by the average of the marks from the two sub-sections. If at least one part of the exam is graded "F", the entire exam is graded "F".
The conditions are the same for students with an individual study plan.
Control of results of independent work on specified tasks. In case of absence from seminars, teacher can set elaboration of additional task.
Aims
Study aids
All available study materials are available on elearning.
Recommended literature:
KLATOVSKÝ, Karel. Excel 2021 / 365: nejen pro školy. Prostějov: Computer Media, 2023. 1. vyd. 128 s. ISBN 978-80-7402-451-1.
KLATOVSKÝ, Karel. Word 2021 / 365: nejen pro školy. Prostějov: Computer Media, 2023. 1. vyd. 120 s. ISBN 978-80-7402-450-4.
KOCH, M.; NEUWIRTH, B. Datové a funkční modelování. Datové a funkční modelování. Brno, Cerm. 2010. 139 s. ISBN 978-80-214-4125-5.
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
Lecture
Teacher / Lecturer
Computer-assisted exercise
Syllabus
Topics of seminars are as follows:- Introduction to Informatics- Application software (MS Excel, MS Word, MS PowerPoint)- Data Modeling (Relational Data Model)