Course Objectives: |
Data mining, which has an important place in determining the target audience-communication language and strategy in the field of communication and marketing, also tells what the content density is saying positively and negatively and what it usually talks about. In addition, it is also effective in producing insight, product development and risk-crisis management.
The aim of the course is to enable students, who aim to take part in the new media sector, to manage social media effectively and to communicate correctly with consumers on social media by analyzing content.
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Course Content: |
Data analysis, data categorization and data interpretation, social media monitoring, social listening, data mining, insight production, product development, risk-crisis management, reporting. |
Week |
Subject |
Related Preparation |
1) |
Information transfer for the digital communication industry. What is data mining and where is it used? |
None |
2) |
Focus group review with in-class practice. PDPL rules in data mining. |
none |
3) |
Group examination on social media and evaluation of results with in-class practice. Examples of data mining research in new media. |
none |
4) |
Personal and corporate profile review with In-class practice. |
none |
5) |
Brand language and brand strategy. Analysis and determination of language and strategy with data mining. |
none |
6) |
Student reviews and presentations on brand language and brand strategy. |
none |
7) |
Midterm Exam. |
.. |
8) |
Risk and crisis management in social media.
Important examples of crisis in the history of social media and the role of data mining in crisis communication. |
none |
10) |
The importance of data mining for accurate and effective insight. Insight examples reached by data mining. |
none |
11) |
Agenda review and insight capture with data mining. Presentation of captured insights. |
none |
12) |
What is Responding management, how is it done? What are the rules? Why is it important for accounts in the new media? |
none |
13) |
Coding system in Data Mining. Sample coding with the installed system. |
none |
14) |
How to use the data coding tool Somera? What are the features? Research examples with data mining in new media. |
https://www.somera.com.tr/ |
15) |
Final Exam |
.. |
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Program Outcomes |
Level of Contribution |
1) |
Have the fundamental knowledge of theoretical and applied principles required in the field of interior architecture |
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2) |
Use artistic and cultural values in design process |
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3) |
Use contemporary information about the field of interior design materials and manufacturing technologies |
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4) |
Have the ability to develop Design problems with a critical perspective and analytical thinking in order to bring out original solutions |
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5) |
Have consciousness of harmony and effectiveness of team work |
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6) |
Show participation in the production phase of the project applications and professional experience |
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7) |
Embrace the importance of learning, science, technology and contemporary issues |
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8) |
Have knowledge and awareness about occupational ethics, related laws and legislation |
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