TÜRKÇE
ENGLISH
Information
| Code | CEN445 |
| Name | Introduction to Data Visualization |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi Elif Emel FIRAT |
Course Goal
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 | ||