CENG0043 Data Visualization

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code CENG0043
Name Data Visualization
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Elif Emel FIRAT


Course Goal / Objective

To introduce students to fundamental problems, concepts and approaches in the design and analysis of data visualization systems.

Course Content

Familiarize students with the phases of the visualization pipeline, including data modeling, mapping data attributes to graphical attributes, perceptual issues, available visualization techniques and tools, and evaluating the effectiveness of visualizations for specific data, tasks, and user types.

Course Precondition

None

Resources

Wilke, C.O., 2019. Fundamentals of data visualization: a primer on making informative and compelling figures. O'Reilly Media.

Notes

Chen, Chun-houh, Wolfgang Karl Härdle, and Antony Unwin, eds. Handbook of data visualization. Springer Science & Business Media, 2007. Chen, Chun-houh, Wolfgang Karl Härdle, and Antony Unwin, eds. Handbook of data visualization. Springer Science & Business Media, 2007.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 The student understands the fundamentals and properties of data.
LO02 The student knows the various available visualization systems and tool sets.
LO03 The student knows the design considerations for the components of good visualization.
LO04 The student detects the trend in the data by creating visual designs.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. 3
PLO02 Bilgi - Kuramsal, Olgusal By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. 3
PLO03 Yetkinlikler - Öğrenme Yetkinliği Being aware of the new and developing practices of his / her profession and examining and learning when necessary. 2
PLO04 Yetkinlikler - Öğrenme Yetkinliği Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. 3
PLO05 Yetkinlikler - Öğrenme Yetkinliği Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. 4
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design. 3
PLO07 Beceriler - Bilişsel, Uygulamalı Has the skills of learning. 3
PLO08 Beceriler - Bilişsel, Uygulamalı Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary.
PLO09 Beceriler - Bilişsel, Uygulamalı Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering. 4
PLO10 Beceriler - Bilişsel, Uygulamalı Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering.
PLO11 Beceriler - Bilişsel, Uygulamalı Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. 3
PLO12 Bilgi - Kuramsal, Olgusal Observes social, scientific and ethical values in all professional activities.


Week Plan

Week Topic Preparation Methods
1 Fundamentals of data Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
2 Perception and Information Processing Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
3 Fundamentals of visualization Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
4 Visualization techniques for spatial data Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
5 Visualization techniques for geographical data Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
6 Visualization techniques for timeoriented data Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
7 Visualization techniques Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam Readinglecture notes Ölçme Yöntemleri:
Ödev
9 Visualization techniques for trees, graphs, and networks Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
10 Interaction concepts Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
11 Interaction techniques Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
12 Designing effective visualizations Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
13 Continue designing effective visualizations Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
14 Article presentations Article scanning, presentation preparation Öğretim Yöntemleri:
Bireysel Çalışma, Örnek Olay, Soru-Cevap
15 Project presentations Project preparation, presentation preparation Öğretim Yöntemleri:
Bireysel Çalışma, Proje Temelli Öğrenme
16 Term exam preparations Reading lecture notes Öğretim Yöntemleri:
Soru-Cevap
17 Term Exams Reading Lecture Notes Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 2 15 30
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 20 20
Total Workload (Hour) 158
Total Workload / 25 (h) 6,32
ECTS 6 ECTS

Update Time: 13.05.2024 03:07