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Information
| Unit | ABDİ SÜTCÜ HEALTH SERVICES VOCATIONAL SCHOOL |
| MEDICAL DATA PROCESSING TECHNICIAN PR. | |
| Code | TVS201 |
| Name | Data Visualization |
| Term | 2026-2027 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | İstatistikçi OLGUN DURAN |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The primary goal of this course is to equip students with the ability to effectively analyze and tell stories from data. Students learn to utilize cognitive perception principles and design theories when translating raw data into a visual language.
Course Content
This course aims to teach the analysis and effective communication of health data through graphical presentation. Students will be introduced to topics such as chart types, visualization principles, data representation, tools (Excel, Tableau, Power BI, Python/R libraries), interactive charts, and the use of visualization in reporting.
Course Precondition
None
Resources
Lecture notes, PowerPoint presentations
Notes
Storytelling with Data – Cole Nussbaumer Knaflic The Visual Display of Quantitative Information – Edward Tufte Fundamentals of Data Visualization – Claus O. Wilke
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | It explains the fundamental concepts of data visualization. |
| LO02 | It selects charts and tables suitable for different data types. |
| LO03 | Uses visual presentation tools at a basic level. |
| LO04 | It presents health data in a meaningful and readable way. |
| LO05 | It evaluates ethical, accurate, and transparent principles in data visualization. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Defines the concept of health informatics. | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Explains the types and sources of health data. | |
| PLO03 | - | Analyzes the processing, storage and sharing of health data | 4 |
| PLO04 | - | Summarizes the structure and function of health information systems. | |
| PLO05 | - | Evaluates the effects of digitalization in healthcare. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Definition, importance, and applications of data visualization. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Chart types: bar, line, pie, histogram, etc. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Data type and target audience analysis in chart selection. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Basic chart creation techniques with Excel | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Advanced Excel charting features and custom visualizations. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Introduction to Tableau and Power BI and basic applications. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Graphs using Python (Matplotlib, Seaborn) and R (ggplot2) | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Readability, color, and design principles in visual presentations. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Interactive visualization and dashboard logic. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | Examples of visualization errors and misdirection. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 12 | Issues of ethics, transparency, and data manipulation. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Practical visual report generation project | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | Project presentations and overall evaluation. | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 15 | Project presentations and overall evaluation-2 | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav, Performans Değerlendirmesi |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav, Performans Değerlendirmesi |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 1 | 1 |
| Final Exam | 1 | 1 | 1 |
| Total Workload (Hour) | 72 | ||
| Total Workload / 25 (h) | 2,88 | ||
| ECTS | 3 ECTS | ||