CEN445 Introduction to Data Visualization

6 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code CEN445
Name Introduction to Data Visualization
Term 2023-2024 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Elif Emel FIRAT
Course Instructor Dr. Öğr. Üyesi Elif Emel FIRAT (A Group) (Ins. in Charge)


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

Yok

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 Has capability in the fields of mathematics, science and computer that form the foundations of engineering 1
PLO02 Bilgi - Kuramsal, Olgusal Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 2
PLO03 Bilgi - Kuramsal, Olgusal Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. 3
PLO04 Bilgi - Kuramsal, Olgusal Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 3
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 4
PLO06 Bilgi - Kuramsal, Olgusal Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 3
PLO07 Beceriler - Bilişsel, Uygulamalı Can access information,gains the ability to do resource research and uses information resources 3
PLO08 Beceriler - Bilişsel, Uygulamalı Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 2
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 4
PLO10 Yetkinlikler - Öğrenme Yetkinliği Professional and ethical responsibility,
PLO11 Yetkinlikler - Öğrenme Yetkinliği Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications,
PLO12 Yetkinlikler - Öğrenme Yetkinliği Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues 3


Week Plan

Week Topic Preparation Methods
1 Fundamentals of data Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
2 Human 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 time-oriented data Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
7 Visualization techniques for multivariate data Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-term exam Reading lecture 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 prepartations 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 1 20 20
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 30 30
Total Workload (Hour) 158
Total Workload / 25 (h) 6,32
ECTS 6 ECTS

Update Time: 12.05.2023 11:35