SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code	Course Name	Year	Semester	Theoretical	Practical	Credit	ECTS
60211METOZ-ILT0435	Data Visualization	3	Fall	2	2	3	5

Course Type :	Compulsory
Cycle:	Bachelor      TQF-HE:6. Master`s Degree      QF-EHEA:First Cycle      EQF-LLL:6. Master`s Degree
Language of Instruction:	Turkish
Prerequisities and Co-requisities:	N/A
Mode of Delivery:	Face to face
Name of Coordinator:	Profesör Dr. PINAR SEDEN MERAL
Dersin Öğretim Eleman(lar)ı:
Dersin Kategorisi:	Programme Specific

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives:

It enables the transfer of information and storytelling with data-based applications and methods in the most appropriate and accurate way by using numbers. These apps and methods are not just about math or creating graphics or writing code. Data visualization determines the logic of reaching the insights that are desired to be obtained and transferred, and includes the narration of the insights that arise within the framework of this logic with an understandable and effective story.

Course Content:

It is the ability to tell the story of data and information with visuals and to apply mathematics, graphics and code software on the basis of this. ● You will be able to comprehend that a storytelling and transference based on information designed together with visuals, apart from a narrative approach consisting only of words, is the best option. ● Data visualization applications and techniques are constantly changing and improving. Advanced analysis can be performed with the increasing number of applications that are becoming widespread. You will acquire general application knowledge and analysis skills at the beginner level, from the most basic methods to widely used complex application platforms.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:

Knowledge (Described as Theoritical and/or Factual Knowledge.)

1) ● Provides access to open data sources and parties

2) ● Gain insight with basic data visualization methods.

Skills (Describe as Cognitive and/or Practical Skills.)

1) ● Can access databases.

2) ● Can realize data acquisition and collection methods from digital platforms.

3) ● Performs data cleaning methods with programs such as Excel.

4) ● It can collect data from Twitter and similar platforms.

Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

1) ● Discuss the principles of data journalism or data reporting.

2) ● Data analysis and visualization applications can be defined.

Weekly Course Schedule

Week	Subject	Materials Sharing *
		Related Preparation	Further Study
1)	Week 1: What is data and its importance as a new emerging value? ● What can be done with the data, where is it used? ● The process of obtaining data from samples and reaching end users. ● Visualizations, infographics, maps from past to present through examples. ● Curriculum information, homework topics, and interview for the final project.
2)	Week 2: What are open data sources? ● Open data sources offered by institutions and their analysis ● Transactions on Github. ● Access to open data sources via Github.
3)	Week 3: Dataset File Formats Differences ● Spreadsheets ● Introduction to Excel, Dataset transfer via Github ● Commonly used Excel functions
4)	4. Hafta: Veri görselleştirmede kullanılan çizelge çeşitleri ve uygulanma alanları ● Excel üzerinde çizelge ve grafik çeşitlerinin uygulanması
5)	Week 5: Introduction to Interactive Data Visualization Softwares ● Visualization examples with Datawrapper web interface ● "Line Chart" design with Worldbank data
6)	Week 6: Introduction to Data Journalism ● Storytelling in Data Journalism ● Examples of Data Journalism from the World and Turkey ● A Study to Draw Attention to Yearly Global Plastic Production Data Using Datawrapper
7)	7. Hafta: Çizelge ve Grafik Tasarımı Prensipleri ● Veri Görselleştirmede Renk Kullanımı ● Makaleleştirilecek Konunun 4 Adımlık Eskiz Çizimleri ● Word ile Gazete Stili Makale Oluşturma
8)	Week 8: Midterm
9)	Week 9: Geolocation ● Data Journalism Using Geolocation Data ● Obtaining Geographical Data from Open Data Sources ● Visualizing Map Data Using Google Maps
10)	Week 10: Open-Source Mapping ● Color Selection on Choropleth Maps ● Interpolation and Color Scales for Maps ● Year Based Housing Value Visualization Using Choropleth Maps
11)	Week 11: Election Data Visualization Using Choropleth Maps ● Visualizing IMF Unemployment Rate Data for European Countries Using Choropleth Maps
12)	Week 12: APIs offered by Social Media Companies ● Transferring Reddit Data to Spreadsheet Programs with API Queries ● Wordcloud Generation by Word Frequency
13)	Week 13: How to Lie with Data ● Examples of Bad Visualizations ● Ethics and Reliability in Data Visualization Applications ● Data Reporting with Word
14)	Week 14: Final Project

*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks:

○ Rogers, S., 2013. Facts are sacred: the power of data. Faber and Faber, Guardian Books, London. ○ Tufte, E.R., 2001. The visual display of quantitative information, 2nd ed. ed. Graphics Press, Cheshire, Conn. ○ Usher, N., 2016. Interactive journalism: hackers, data, and code. University of Illinois Press, Urbana.

References:

○ https://datavizcatalogue.com/ ○ https://handsondataviz.org/opendata.html ○ Özmen, K. (2017). Dünya'da ve Türkiye'de Bilgi-Veri Görselleştirme: İnfografik Tasarım, Yüksek Lisans Tezi. İstanbul Arel Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul. ○ Kahraman, N. (2021). Açık Veri Uygulamasının Belediyeler Üzerindeki Etkisi: Londra ve İstanbul Büyükşehir Belediyeleri Örneği, Doktora Tezi. İnönü Üniversitesi Sosyal Bilimler Enstitüsü, Malatya. ○ Oran, İ. (2018). A Qualitative Analysis of Data Journalism Practice in Turkey, Master's Thesis. Kadir Has University Graduate School of Social Sciences, Istanbul. ○Zinderen, A. (2019). Veri Gazeteciliği ve İnfografik Haber Tasarımına Yönelik Uygulamalı Bir Analiz, Doktora Tezi. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü, Erzurum. ○ https://www.academia.edu/34442143/Veri_Okuryazarl%C4%B1%C4%9F%C4%B1_El_Kitab%C4%B1 ○ https://www.academia.edu/8959292/D%C3%BCnyada_ve_T%C3%BCrkiyede_Veri_Gazetecili%C4%9Fi ○ https://dergipark.org.tr/tr/download/article-file/1113756 ○ https://manifold.press/infografigi-yeniden-tanimlamak ○ Gray, J., Chambers, Bounegru, L., 2012. The Data Journalism Handbook, 1., neue Ausg. ed. O’Reilly & Associates, Sebastopol, CA. ○ Mair, J. (Ed.), 2014. Data Journalism: Mapping the Future. Abramis, Bury St. Edmonds. ○ Mair, J., Keeble, R., Lucero, M., Moore, M., 2017. Data Journalism: Past, Present and Future. ○ McCandless, D., 2012. Information is Beautiful, New ed., Revised, Recalculated and Reimagined. ed. Collins, London.

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )

CLOs/PLOs	KPLO 1					KPLO 2											KPLO 3				KPLO 4													KPLO 5
	1	2	3	4	5	1	2	3	4	5	6	7	8	9	10	11	1	2	3	4	1	2	3	4	5	6	7	8	10	11	12	13	14	1	2	3	4	5	6	7	8	9	10	11	12
CLO1
CLO2
CLO3
CLO4
CLO5
CLO6
CLO7
CLO8

Level of Contribution of the Course to PLOs

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Programme Learning Outcomes	Contribution Level (from 1 to 5)
1)	Can use theoretical and applied information on communication design, communication sciences and other social sciences related to communication design collectively and incordinately.	4
	1.1 Have comprehensive information about the research process, the application of the research process can perform.	4
	1.2 Demonstrate entrepreneurial, creative and innovative skills in using professional and technical practices to solve complex and unpredictable problems in the field of Communication Design.	5
	1.3 A researcher in the field of Communication Design completes the project cycle on its own and can use the theoretical and practical information that it acquires to solve communication problems and requirements by finding creative methods	5
	1.4 It explains basic concepts, principles, processes and methods of application of subfields of Communication Design, makes analysis and evaluations.	5
	1.5 Explains the basic concepts of other Social Sciences related to Communication Design and relates them to the theories of Communication Design and Management.	5
2)	Conduct, develop and manage visual and content studies in traditional and new media environments.	5
	2.1 Takes on different tasks as a leader or a team member within a teamwork.	5
	2.2 It takes responsibility for the management of the professional development of individuals or groups in relation to basic and / or sub-areas of Communication Design. Plans and manages activities for the professional development of employees under their responsibility.	5
	2.3 Takes responsibility for making decisions in the context of unpredictable work or learning in relation to basic and / or sub-areas of communication design, management and technologies.	5
	2.4 Takes risk and responsibility for the application or technologies that bring innovation in the field of Communication Design.	5
	2.5 Enforces employees' personal and professional facilities, who is working under his responbility,	5
	2.6 Organizes and implements projects and activities for his/her social environment with a sense of social responsibility.	5
	2.7 Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to communications design.	4
	2.8 Executes the health & safety, environmental protection, quality and ongoing process improvement procedures, which are required in the field of communications design.
	2.9 Life time learning is life principle.	5
	2.10 Guides the people under his responsibility to identify their learning needs and professional development.	4
	2.11 Has sufficient consciousness about the global social rights, social justice and cultural values; respect to the cultural diversity	5
3)	Apply the theoretical knowledge that is learned in business life for a semester.	5
	3.1 Experiences all processes in business life.	5
	3.2 Takes part in activities related to the field of education in a business operating in the field.	5
	3.3 Compares the theoretical knowledge with the application.	5
	3.4 Compiles the knowledge and experience gained in the field.	5
4)	The competencies that are developed in line with the expectations of the business world and society and which are defined as the institutional outputs of our university are at the basic level.	5
	4.1 Develops Business, Problem Solving and Conflict Management competence.	5
	4.2 Gain leadership and teamwork competence.
	4.3 Improves Ethics and Social Responsibility competence.	5
	4.4 Develops written and Oral Communication and Interaction competence.	5
	4.5 Gains the competence of Critical Thinking, Creative and Innovative Thought Development.	5
	4.6 Stratejik ve Girişimci Anlayış Geliştirebilme yetkinliği kazanır. 65/5000 Gain competency in developing strategic and entrepreneurial understanding. Send feedback History Saved Community	4
	4.7 Gain the competence to take responsibility and make independent decisions.	4
	4.8 Gain the ability to manage change	4
	4.10 Gains the competence of developing a Global Perspective.	4
	4.11 Develops use of technology and digital competence.	1
	4.12 Develops cultural consciousness and expression competence.	1
	4.13 Gain Social and Citizenship Qualification.	1
	4.14 Gains the ability to communicate in a Foreign Language (English) defined at least A2 level of European Language Portfolio.	1
5)	Gain the competencies defined as the institutional outcomes of our university which are developed in line with the expectations of business and society	4
	5.1 Acquires the analyzing solving the problems and managing the conflicts.	4
	5.2 Participates as a team member and takes responsibility in the environments that require the solving of the conflicts and acts as a leader when necessary.	4
	5.3 Has awareness for ethical and social responsivity.	4
	5.4 By supporting the learnt courses with quantitative and qualitative data; and by using verbal and visual communication means, s/he transfers them to the groups within and outside his/her group in a systematical and effective way.	4
	5.5 Evaluates the norms and standards present in the works in which s/he takes responsibility in a critical point of view.	4
	5.6 Develops strategical, innovative and entrepreneurial ideas.	4
	5.7 Acquires competence of managing the change.	4
	5.8 Shows development personally and socially with and awareness for lifelong learning.	4
	5.9 Follows advanced technologies and developments about digital transformation.	4
	5.10 Has cultural awareness and s/he transfers this to the groups within and outside his/her field.	4
	5.11 Has awareness about citizenship competency.	4
	5.12 Acquires communication in a Foreign Language (English) competence defined on the level of at least B1 in European Language Portfolio. (In programs whose medium of instruction is English, on the level of B2/B2+).

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Teaching and Learning Methods defined at the Programme Level	Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Aassessment and evaluation Methods defined at the Programme Level	Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods	# of practice per semester	Level of Contribution
Homework Assignments	10	% 25.00
Midterms	1	% 25.00
Semester Final Exam	1	% 50.00
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities	# of Activities per semester	Duration (hour)	Total Workload
Course	14	3	42
Laboratory	0	0	0
Application	0	0	0
Special Course Internship (Work Placement)	0	0	0
Field Work	0	0	0
Study Hours Out of Class	0	0	0
Presentations / Seminar	0	0	0
Project	0	0	0
Homework Assignments	10	3	30
Total Workload of Teaching & Learning Activities	-	-	72
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities	# of Activities per semester	Duration (hour)	Total Workload
Quizzes	0	0	0
Midterms	1	20	20
Semester Final Exam	1	50	50
Total Workload of Assesment & Evaluation Activities	-	-	70
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities)			142
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h)			5