VERİ GÖRSELLEŞTİRME PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
TVP257	VERİ GÖRSELLEŞTİRME	3	2	1	2

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	ASSOCIATE DEGREE, TYY: + 5.Level, EQF-LLL: 5.Level, QF-EHEA: Short Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Lecturer SİBEL SEKMAN
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The aim of this course is to teach how to analyze health data through graphical presentation and how to effectively visualize and communicate these analyses. Students are expected to gain knowledge of data visualization principles, chart types, the use of appropriate tools (Excel, Tableau, Power BI, Python/R libraries), and the role of visualization in reporting processes through interactive visuals.
Contents of the Course Unit:	Students will be introduced to topics such as chart types, visualization principles, data representation, tools (Excel, Tableau, Power BI, Python/R libraries), interactive charts, and the use of visualization in reporting.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
It explains the fundamental concepts of data visualization.
It selects charts and tables suitable for different data types.
Uses visual presentation tools at a basic level.
It evaluates ethical, accurate, and transparent principles in data visualization.
It presents health data in a meaningful and readable way.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Reading written and visual sources, literature review.	Information about the course and meeting with the students.	Lecture, question and answer, application.
2	Reading written and visual sources, literature review.	Definition, importance, and applications of data visualization.	Lecture, question and answer, application.
3	Reading written and visual sources, literature review.	Chart types: bar, line, pie, histogram, etc.	Lecture, question and answer, application.
4	Reading written and visual sources, literature review.	Data type and target audience analysis in chart selection.	Lecture, question and answer, application.
5	Reading written and visual sources, literature review.	Basic chart creation techniques with Excel	Lecture, question and answer, application.
6	Reading written and visual sources, literature review.	Advanced Excel charting features and custom visualizations.	Lecture, question and answer, application.
7	Reading written and visual sources, literature review.	Introduction to Tableau and Power BI and basic applications.	Lecture, question and answer, application.
8	Reading written and visual sources, literature review.	Graphs using Python (Matplotlib, Seaborn) and R (ggplot2)	Lecture, question and answer, application.
9	Reading written and visual sources, literature review.	Readability, color, and design principles in visual presentations.	Lecture, question and answer, application.
10	-	MID-TERM EXAM	-
11	Reading written and visual sources, literature review.	Interactive visualization and dashboard logic.	Lecture, question and answer, application.
12	Reading written and visual sources, literature review.	Examples of visualization errors and misdirection.	Lecture, question and answer, application.
13	Reading written and visual sources, literature review.	Issues of ethics, transparency, and data manipulation.	Lecture, question and answer, application.
14	Reading written and visual sources, literature review.	Practical visual report generation project	Lecture, question and answer, application.
15	Reading written and visual sources, literature review.	Project presentations	Lecture, question and answer, application.
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student will define the fundamental characteristics of the software, database components, and operating principles used in health information systems.					4
2	It accurately explains the fundamental concepts, building blocks, and terminology specific to the field of health informatics.			2

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It describes the technical concepts, data processing methods, and IT infrastructures used in managing health data.						5

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Within the framework of occupational health and safety, it conducts a technical risk assessment for data processing processes.				3
2	It regularly monitors the latest innovations and developments in the field of health information technology.					4
3	By monitoring technological innovations and current technical applications in their field, they can adapt them to their profession.					4
4	They evaluate developments in their field and effectively use health informatics tools and technological systems.						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It uses health information systems, database tools, and IT equipment used in data processing applications in an accurate, reliable, and efficient manner.						5
2	She/he develops appropriate solutions to problems that arise in her field.				3
3	They effectively express technical and professional knowledge related to their field through written and oral communication methods.				3
4	They follow scientific and technological developments in the field of health informatics by using a foreign language.				3

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Healthcare professionals, IT specialists, and technical teams share their professional knowledge in a clear and understandable manner.					4

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It complies with professional ethical rules, data security principles, and relevant legislation.			2

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	By embracing a lifelong learning mindset, it continuously pursues its development in the field of health informatics.					4
2	In the processes of recording, analyzing, and reporting health data, scientific accuracy, ethical principles, and cultural sensitivity are observed.						5

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/She fully fulfills the technical, administrative, and operational responsibilities required by his/her profession.						5

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	2	28
Preliminary & Further Study	8	2	16
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	0	0	0
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	0	0	0
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	24	0	46