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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
DATA VISUALIZATION ENF 537 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Dr.Öğr.Üyesi TUĞRUL TAŞCI
Dersi Verenler Dr.Öğr.Üyesi TUĞRUL TAŞCI
Dersin Yardımcıları
Dersin Kategorisi Alanına Uygun Öğretim
Dersin Amacı

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.

Dersin İçeriği

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

Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
Öğretim Yöntemleri:
Ölçme Yöntemleri:

Ders Akışı

Hafta Konular ÖnHazırlık
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

Kaynaklar

Ders Notu
Ders Kaynakları

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


Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
PerformansGoreviUygulama 1 20
PerformansGoreviUygulama 2 20
KisaSinav 1 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

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