December - 2019
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Tantárgyi program 2019/2020


I. Alapadatok

A tantárgy kódja:2EB34NAK03B
A tantárgy megnevezése (magyarul):Business Data Analysis
A tantárgy neve (angolul):Business Data Analysis
A tanóra száma
(Előadás + szeminárium /gyakorlat/egyéb):
2+2
Kreditérték:6
Becsült hallgatói munkaóra: (kpx30)180
A tantárgy meghirdetésének gyakorisága:Őszi félév
Az oktatás nyelve:angol
Előtanulmányi kötelezettségek:---
A tantárgy típusa:
Tantárgyfelelős tanszék:Infokommunikációs Tanszék
A tantárgyfelelős neve:Dr. Fodor Szabina Eszter

II. A tantárgy célja (a fenntarthatóság szempontjai)

A tantárgy célja:
The course Business Data Analysis provides an introduction to Information and Communication Technology, and shows the ways of becoming a more efficient and up-to-date computer user in an organization. Students will also develop an understanding of how to present their ideas more effectively.

A fenntarthatóság szempontjai:
Minimalization of energy consumption is one of the basic issues in ICT operations as energy consumption leaves a significant carbondioxide footprint. Organizations with large datacenters have to pay special attention to the careful selection of operational models taking into account the difference in energy consumption of different operational models, as on-premises operations, outsourcing and cloud services.
The lectures will cover the main aspects of the popular operational models also with regard to their energy issues.


IV. A tantárgy tervezett tanulási eredményei (fejlesztendő szakmai kompetenciák)

Tudás:
On successful completion of this module, students should be able to:

• Appreciate the importance of computing in the modern economy
• Describe the computing and telecommunication infrastructure
• Explain the role of technology and information systems in an organization.
• Define the main ideas of information technology and discuss the importance of data analysis
• Analyze business processes with the intent to gain competitive advantage
• Apply principles and key methods used in business data analysis and decision support systems


Képesség:
• Explain the concept of Big Data and the role of Big Data in contemporary decision making
• Explain the role of different types of information system vulnerabilities, security and data protection measures
• Utilize IT techniques and tools of future internet, IoS
• Discuss examples of up-to-date data analysis


Attitűd:
Attitude is Evaluative statements of judgment concerning learning. There are three components of attitude:

Cognitive Attitude: The opinion or belief segment of an attitude
Effective Attitude: The emotional or feelings segment of an attitude
Behavioral Components: An intention to behave in a certain way towards someone or something.

According to scientific research student’s performance is affected by all three components.

Belief segment influences student’s performance significantly as for the success they must first believe that they can be successful.
Emotions play an important part in learning in self-improvement. Students must be able to control their emotions and use them for benefit.
When one changes one's behavior, she changes her performance. The students have to be able to change their behaviour and focus on their academic performance, if necessary.


Szakspecifikus tanulási eredmények (opcionális)

Szak/képzés megnevezése:


Tudás:


Képesség:


Attitűd: