TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| COMPUTER ENGINEERING (PhD) (ENGLISH) | |
| Code | CENG604 |
| Name | Advanced Data Visualization |
| Term | 2025-2026 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi Elif Emel FIRAT |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to equip students with the advanced knowledge, skills, and techniques necessary to effectively visualize complex data and communicate insights to diverse audiences.
Course Content
This course explores advanced techniques and principles in data visualization, focusing on conveying complex information effectively to various audiences. Students will learn advanced visualization methods, tools, and technologies to create insightful visualizations from diverse datasets.
Course Precondition
Strong foundation in data analysis, statistics, and programming.
Resources
Handbook of data visualization by Chen, Chun-houh, Wolfgang Karl Härdle, and Antony Unwin, eds. Springer Science & Business Media, 2007. Data Visualisation: A Handbook for Data Driven Design, Andy Kirk, Sage Publications, 2019.
Notes
Handbook of data visualization by Chen, Chun-houh, Wolfgang Karl Härdle, and Antony Unwin, eds. Springer Science & Business Media, 2007. Data Visualisation: A Handbook for Data Driven Design, Andy Kirk, Sage Publications, 2019.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Demonstrate proficiency in advanced data visualization techniques. |
| LO02 | Effectively prepare and transform data for visualization. |
| LO03 | Create specialized visualizations for different data types |
| LO04 | Design and implement interactive visualizations. |
| LO05 | Communicate insights effectively through visual narratives |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. | 3 |
| PLO03 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the new and developing practices of his / her profession and examining and learning when necessary. | |
| PLO04 | Yetkinlikler - Öğrenme Yetkinliği | Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. | 2 |
| PLO05 | Yetkinlikler - Öğrenme Yetkinliği | Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. | 3 |
| PLO06 | Yetkinlikler - Öğrenme Yetkinliği | Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design. | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Has the skills of learning. | 3 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering. | 3 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering. | 3 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. | 4 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Observes social, scientific and ethical values in all professional activities. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Advanced Data Visualization | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 2 | Introduction to Advanced Visualization Libraries | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 3 | Data Preparation | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 4 | Advanced Chart Types | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 5 | Advanced Chart Techniques | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 6 | Advanced Chart Types and Techniques | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 7 | Network Visualization | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 8 | Project | Reading the lecture notes | Ölçme Yöntemleri: Proje / Tasarım |
| 9 | Geospatial Visualization | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 10 | Introduction to Visual Analytics Principles | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 11 | Interactive Data Exploration and Analysis Techniques | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 12 | Text and Document Visualization | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 13 | Introduction to Time Series and Temporal Data Visualization | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 14 | Time Series and Temporal Data Visualization | Reading the lecture notes | Öğretim Yöntemleri: Anlatım |
| 15 | General review | Reading the lecture notes | Ölçme Yöntemleri: Proje / Tasarım |
| 16 | Subject Review | Reading the lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | 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 | 30 | 30 |
| Mid-term Exams (Written, Oral, etc.) | 0 | 0 | 0 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 158 | ||
| Total Workload / 25 (h) | 6,32 | ||
| ECTS | 6 ECTS | ||