Course detail

Decision Support Systems

FP-KsprPAcad. year: 2019/2020

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.

Learning outcomes of the course unit

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.

Prerequisites

Knowledge of working with MS Office. Knowledge of MS Office.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

BARILLA, J. Microsoft Excel 2013 :podrobná uživatelská příručka. Brno: Computer Press, 2013. 1. vyd. 496 s. ISBN 978-80-251-4114-4.
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.

Planned learning activities and teaching methods

The course contains lectures that explain basic principles, problems and methodology of the discipline, and exercises that promote the practical knowledge of the subject presented in the lectures.

Assesment methods and criteria linked to learning outcomes

Test conditions:
Final exam - written form, a practical test (60 points for the written part of the exam, the successful completion of the test, it is necessary to draw up a written part of the exam, so that was assessed by at least 30 points, otherwise the exam 0 points evaluation F.). Oral examination.

Language of instruction

Czech

Work placements

Not applicable.

Course curriculum

The course focuses on the principles and methods of data collection and processing in information systems and their adaptation for presentation.

Topics of the lectures:
Character data from various sources, search options
Database tables, attributes, data types
Handling tables and records, views and reports
Working with data in MS Excel
Power Pivot, data analysis tool
Decision support systems
Data aggregation and analysis (OLAP)

The workout is required continuous training, exercises are designed to process jobs based on the source data files and results presentation.

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.

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

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.

The course is ended with an exam for max. 60 points. Participation in the test is mandatory.

Classification of course in study plans

  • Programme BAK Bachelor's

    branch BAK-EP , 3. year of study, summer semester, 4 credits, compulsory

Type of course unit

 

Exercise

20 hours, compulsory

Teacher / Lecturer

eLearning