TÜRKÇE
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Information
| Code | CEN445 |
| Name | Introduction to Data Visualization |
| Term | 2024-2025 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 | Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | 1 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills. | 3 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself. | 2 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice. | 4 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
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 | ||