Information Package / Course Catalogue
Data Visualization
Course Code: MCS522
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

This course introduces the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design.

Course Content

Starting with the basics of semiotics of graphics, this course covers topics like brightness, contrast, displays, case studies, data representation, etc. to help the students to visualize data in a proper and appealing way.

Name of Lecturer(s)
Learning Outcomes
1.Understand the visual system and the technical aspects of visualization.
2.Assess the link between semiotics and perception.
3.Distinguish several types of data and their properties and representations.
4.Develop static and moving patterns.
5.Implement the nature of language and integrate visual and verbal and narrative threads.
Recommended or Required Reading
1.Colin Ware, “Information Visualization: Perception for Design, 3rd Rev. Ed.”, Elsevier Ltd, Oxford, 2012, ISBN: 978-0123814647
2.Andy Kirk, “Data Visualization”, Sage Publications Ltd, 2016, ISBN: 978-1473912144
3.Tamara Munzner, “Visualization Analysis and Design: Principles, Techniques, and Practice”, Ak Peters Visualization Series, 2014, ISBN: 978-1466508910
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction, Semiotics of graphics
Week 2 - Theoretical
Semiotics of graphics (cont.)
Week 3 - Theoretical
Elements of visual system
Week 4 - Theoretical
Elements of visual system (cont.)
Week 5 - Theoretical
Types of data
Week 6 - Theoretical
The environment, optics, resolution and the display
Week 7 - Theoretical
Lightness, brightness, contrast and constancy
Week 8 - Theoretical
Color
Week 9 - Theoretical
Static and moving patterns
Week 10 - Theoretical
Space perception
Week 11 - Theoretical
The language and visual, verbal and narrative threads
Week 12 - Theoretical
Interaction
Week 13 - Theoretical
Visual thinking processes
Week 14 - Theoretical
Presentation of projects
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Term Assignment1%10
Midterm Examination1%15
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Term Project120525
Individual Work140114
Midterm Examination115318
Final Examination120323
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
3
3
3
3
4
3
4
3
3
OÇ-2
4
4
4
3
5
4
3
4
3
OÇ-3
3
3
5
5
5
4
3
5
5
OÇ-4
3
3
3
3
4
3
4
3
3
OÇ-5
4
4
4
3
5
4
3
4
3
Adnan Menderes University - Information Package / Course Catalogue
2026