| Course Name | Code | Semester | T+U Hours | Credit | ECTS |
|---|---|---|---|---|---|
| Data Visualization | ENF 537 | 0 | 3 + 0 | 3 | 6 |
| Precondition Courses | |
| Recommended Optional Courses | |
| Course Language | Turkish |
| Course Level | yuksek_lisans |
| Course Type | Optional |
| Course Coordinator | Dr.Öğr.Üyesi TUĞRUL TAŞCI |
| Course Lecturers | Dr.Öğr.Üyesi TUĞRUL TAŞCI, |
| Course Assistants | |
| Course Category | Field Proper Education |
| Course Objective | Today, with the extraordinary advances in technology, a large number of different types of storage media and tools have become available. Massive amount of data related to natural, social and human sciences, life and health sciences, education and daily life can be obtained through those tools. The internet, mobile connectivity, digital video and image recording devices are part of everyday life, bringing ceaseless data increase in every aspect of daily-life. Human perception capacity is shaped by sensory organs, psychological and intuitive processes and mental calculations. Data visualization provides the necessary methods and tools for transforming useful information by appropriately evaluating complex and gigantic data of various fields as a research field aiming to increase human perception capacity with good visual coding and to support analytical thinking and decision making processes. In the course of data visualization, students will be able to apply the necessary tools to prepare effective visual content in any kind of academic work such as presentation, report, thesis, article and book as well as the theoretical background of visualization. |
| Course Content | Fundamentals of Data Visualization & Terminology, Principles of Visual Perception, Color Selection & Design, Data Visualization Software (Excel, Powerpoint, MATLAB), Data Visualization Software (Visio, ConceptDraw), Multivariate Chart & Plot Basics, Text Data Visualization, Time Series & Temporal Data Visualization, Interactivity & Animation in Visualization, Hierarchic Data Visualization, Graph & Network Data Visualization, Map Data & Infographics, Data Visualization Software (MSAS, MSRS), Data Visualization in BI Applications |
| # | Course Learning Outcomes | Teaching Methods | Assessment Methods |
|---|
| Week | Course Topics | Preliminary Preparation |
|---|---|---|
| 1 | Fundamentals of Data Visualization & Terminology | |
| 2 | Principles of Visual Perception, Color Selection & Design | |
| 3 | Data Visualization Software (Excel, PowerPoint, MATLAB) | |
| 4 | Data Visualization Software (MS Visio, ConceptDraw) | |
| 5 | Multivariate Chart & Plot Basics | |
| 6 | Text Data Visualization | |
| 7 | Time Series & Temporal Data Visualization | |
| 8 | Interactivity & Animation in Visualization | |
| 9 | Hierarchic Data Visualization | |
| 10 | Graph & Network Data Visualization | |
| 11 | Map Data & Infographics | |
| 12 | Data Visualization Software (MSAS, MSRS) | |
| 13 | Data Visualization in BI Applications - 1 | |
| 14 | Data Visualization in BI Applications - 2 |
| Resources | |
|---|---|
| Course Notes | |
| Course Resources | 1. Camões, J. (2016). Data at Work: Best practices for creating effective charts and information graphics in Microsoft Excel, New Riders. 2. Meirelles, I. (2013). Design for information: an introduction to the histories, theories, and best practices behind effective information visualizations. Rockport Publishers. 3. Cairo, A. (2012). The Functional Art: An introduction to information graphics and visualization. New Riders. 4. Ware, C. (2010). Visual thinking: For design. Morgan Kaufmann. 5. Siciliano, A. (2008). MATLAB: Data analysis and visualization. World Scientific |
| Order | Program Outcomes | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | |||||||
| 2 | |||||||
| 3 | |||||||
| 4 | |||||||
| 5 | |||||||
| 6 | |||||||
| 8 | |||||||
| 9 | |||||||
| Evaluation System | |
|---|---|
| Semester Studies | Contribution Rate |
| 1. Ara Sınav | 50 |
| 1. Performans Görevi (Uygulama) | 50 |
| Total | 100 |
| 1. Final | 50 |
| 1. Yıl İçinin Başarıya | 50 |
| Total | 100 |
| ECTS - Workload Activity | Quantity | Time (Hours) | Total Workload (Hours) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 2 | 2 |
| Quiz | 1 | 4 | 4 |
| Performance Task (Application) | 2 | 12 | 24 |
| Final examination | 1 | 12 | 12 |
| Total Workload | 138 | ||
| Total Workload / 25 (Hours) | 5.52 | ||
| dersAKTSKredisi | 6 | ||