Undergraduate
Faculty of Arts and Design
New Media
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DATA MANAGEMENT

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
YM6003 6 DATA MANAGEMENT 2/0/0 CC TURKISH 4
Course Goals
The course will be processed 100% synchronously in virtual classrooms opened in Istanbul Kültür University Cats System. 

To explain how the elements of information society in all areas of our life are blended with innovations brought about by technology; It is the main aim of the course to convey all the processes related to obtaining, changing, transforming and conveying to others as necessary the knowledge accepted as the symbol of prosperity today.
Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) -
Instructor(s) Lecturer Pınar Dağ
Course Assistant(s)
Schedule -Monday, 18.00-19.45, Atakoy Campus, Art and Desing Faculty, Cats Virtual Room
Office Hour(s) -Monday, 17.00-18.00, Atakoy Campus, Art and Desing Faculty, Cats Virtual Room
Teaching Methods and Techniques -Describing, explaining, analyzing, sampling, practicing.
Principle Sources -Halil Aksu, "Big Data: Bilginin Gücü", Pusula Publications, 2016.

-Viktor Mayer-Schönberger, "Büyük Veri", Paloma Publications, 2013.
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Examination of developments and transformations in information and communication technologies. Verbal lecture
2. Week Investigation of transferring information through the concept of "data". Verbal lecture
3. Week Definition of "Big Data" concept through current examples. Verbal lecture
4. Week Explanation of the strategic importance of "Big Data". Verbal lecture
5. Week Information on how institutions and people evaluate information under the heading "Great Data in the World". Verbal lecture
6. Week Explanations on how to use Big Data in Turkey and for what purposes. Verbal lecture
7. Week Midterm Midterm
8. Week Explanation of the concept of "Semantic" required for good analysis of Large Data. Verbal lecture
9. Week Explanation of data conversion process and technology (Data-mining). Verbal lecture
10. Week Definition of "Data Mining" concept and evaluation through present examples. Verbal lecture
11. Week Information on "data mining" in Turkey and in the world. Verbal lecture
12. Week "Data Visualization" is discussed through examples, discussing what benefits are for organizations. Verbal lecture
13. Week Explanation of "Use of Big Deal in Markets". Verbal lecture
14. Week Evaluation Evaluation
15. Week Evaluation Evaluation
16. Week Evaluation Evaluation
17. Week Evaluation Evaluation
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Final Exam 1 60


Program Outcomes
PO-1The students will be able to define all kinds of concepts related to communication, new media, art and culture (New media and communication)
PO-2The students will be able to understand the historical developments of communication and new media issues, as cultural, social, and technological change depending on the areas of related changes. They will be able to evaluate the results.
PO-3The students will be able to follow technological, cultural, and social changes and apply them to their fields
PO-4The students will be able to analyze and evaluate the new media and communication issues and criticize them by interpreting their understanding.
PO-5The students will be able to produce scientific content by researching and analyzing theoretical and conceptual issues related to new media and communication fields with a scientific approach
PO-6The students will be able to manage time and resources effectively by improving content production and management skills on digital platforms.
PO-7The students will be able to develop detailed and necessary knowledge in specific areas of expertise such as internet journalism, digital marketing, digital advertising, new media programming, and public relations in social media.
PO-8 The students can produce original works in various fields, such as digital animation, digital photography, interactive media design, digital game design, and application design.
PO-9The students will be able to understand artistic works by following current and digital works of art.
PO-10The students will be able to create strategies for institutions in social media platforms and put them into practice.
PO-11The students will be able to put their creative ideas into practice in digital platforms and produce multimedia projects.
PO-12The students will be able to use the necessary tools and equipments in their profession in the right place and at the right time, and relate the theoretical knowledge they have acquired to the sector practices.
PO-13The students will be able to produce by working in a disciplined, planned and creative manner.
PO-14The students will be able to produce projects in various competitions, exhibitions, panels, biennials and seminars etc. in national and international areas.
PO-15The students will be able to provide solutions to the problems encountered in the communication process and will be able to use the initiative related to the topic.
Learning Outcomes
LO-1Able to develop an understanding what data sources are and how data sets are generated.
LO-2Able to become competent in collecting, analyzing and visualizing the data.
LO-3Able to establish a link between open data and the freedom of information.
LO-4Able to perform the validation of the digital content and the generation open data
LO-5Able to make effective visual communication, data visualization and data mapping.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15