The aim of the data visualization course is to learn the basic areas of data visualization, such as data collection, data cleaning, data analysis and data visualization, with the most up-to-date tools. In this framework, the most effective data visualization studies will be examined, and it will be taught with intensive practice by establishing relationships with today's data-driven visual studies. Students will learn about the relationship of data visualization and new graphic types with new media. In addition, students are expected to prepare and present a data visualization project.
Prerequisite(s)
Course Code Course Name…
Corequisite(s)
Course Code Course Name…
Special Requisite(s)
The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s)
Lecturer Pınar Dağ
Course Assistant(s)
Schedule
Tuesday, 13.00-15.45, Atakoy Campus, Faculty of Art and Desing. AK STF MACLAB + Cats Virtual Classroom.
Office Hour(s)
Teaching Methods and Techniques
- The course will be processed as 100% Synchronous in virtual classrooms opened in Istanbul Kültür University Cats System.
Alberto Cairo, The Truthful Art: Data, Charts, and Maps for Communication (Berkeley, California: New Riders, 2016)
Stephanie D. H. Evergreen, Effective Data Visualization: The Right Chart for the Right Data (Thousand Oaks, CA: Sage, 2017).
Dona M. Wong, The Wall Street Journal Guide to Information Graphics: The Dos and Don’ts of Presenting Data, Facts, and Figures (London: W. W. Norton & Company, 2010).
Hadley Wickham and Garrett Grolemund, R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Sebastopol, California: O’Reilly Media, 2017).
Alberto Cairo, The Functional Art: An Introduction to Information Graphics and Visualization (Berkeley, California: New Riders, 2013).
Robin Williams, The Non-Designer’s Design & Type Books: Design and Typographic Principles for the Visual Novice, Deluxe Edition. (Berkeley, California: Peachpit Press, 2008).
The Visual Display of Quantitative Information by Edward Tufte
What is data visualization Purpose of Data Visualization
Verbal & practical expression with examples
2. Week
Recognizing and understanding data formats
Practice
3. Week
Cleaning and analyzing data
Practice
4. Week
Data Visualization Principles
Explaining by examining an example
5. Week
Data Visualization Rules
Practice
6. Week
Data Visualization Elements
Expression by writing the elements
7. Week
Visualizing Data
Practice
8. Week
Ara Sınav
Ara Sınav
9. Week
Color Design and Color Basics in Data Visualization
Practice
10. Week
Data visualization tools (Open Source) Matching Data and Chart Types Map Theory
Practice
11. Week
Data Visualization Ethics
Practice
12. Week
Visualizing data: Graphs, charts, maps Using spreadsheets to chart (Line, Bar, Pie-Population Pyramid)
Practice
13. Week
General evaluation
General evaluation
14. Week
General evaluation
General evaluation
15. Week
General evaluation
General evaluation
16. Week
General evaluation
General evaluation
17. Week
Final Exam
Final Exam
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
40
Final Exam
1
60
Program Outcomes
PO-1
The students will be able to define all kinds of concepts related to communication, new media, art and culture (New media and communication)
PO-2
The 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-3
The students will be able to follow technological, cultural, and social changes and apply them to their fields
PO-4
The students will be able to analyze and evaluate the new media and communication issues and criticize them by interpreting their understanding.
PO-5
The 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-6
The students will be able to manage time and resources effectively by improving content production and management skills on digital platforms.
PO-7
The 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-9
The students will be able to understand artistic works by following current and digital works of art.
PO-10
The students will be able to create strategies for institutions in social media platforms and put them into practice.
PO-11
The students will be able to put their creative ideas into practice in digital platforms and produce multimedia projects.
PO-12
The 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-13
The students will be able to produce by working in a disciplined, planned and creative manner.
PO-14
The students will be able to produce projects in various competitions, exhibitions, panels, biennials and seminars etc. in national and international areas.
PO-15
The 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-1
Will be able to understand the history, current applications and effects of data visualization
LO-2
Learn the basics of data and data visualization
LO-3
Will be able to apply data visualization techniques
LO-4
Will be able to learn and apply basic data visualization tools
LO-5
Will be able to learn and apply all the basic principles of data visualization
