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ISTANBUL GELİŞİM UNIVERSITY INFORMATION SYSTEM

VERİ GÖRSELLEŞTİRME COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
TVP257 VERİ GÖRSELLEŞTİRME 3 2 1 2

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week Preparatory Topics(Subjects) Method
1 Reading written and visual sources, literature review. Information about the course and meeting with the students. Lecture, question and answer, application.
2 Reading written and visual sources, literature review. Definition, importance, and applications of data visualization. Lecture, question and answer, application.
3 Reading written and visual sources, literature review. Chart types: bar, line, pie, histogram, etc. Lecture, question and answer, application.
4 Reading written and visual sources, literature review. Data type and target audience analysis in chart selection. Lecture, question and answer, application.
5 Reading written and visual sources, literature review. Basic chart creation techniques with Excel Lecture, question and answer, application.
6 Reading written and visual sources, literature review. Advanced Excel charting features and custom visualizations. Lecture, question and answer, application.
7 Reading written and visual sources, literature review. Introduction to Tableau and Power BI and basic applications. Lecture, question and answer, application.
8 Reading written and visual sources, literature review. Graphs using Python (Matplotlib, Seaborn) and R (ggplot2) Lecture, question and answer, application.
9 Reading written and visual sources, literature review. Readability, color, and design principles in visual presentations. Lecture, question and answer, application.
10 - MID-TERM EXAM -
11 Reading written and visual sources, literature review. Interactive visualization and dashboard logic. Lecture, question and answer, application.
12 Reading written and visual sources, literature review. Examples of visualization errors and misdirection. Lecture, question and answer, application.
13 Reading written and visual sources, literature review. Issues of ethics, transparency, and data manipulation. Lecture, question and answer, application.
14 Reading written and visual sources, literature review. Practical visual report generation project Lecture, question and answer, application.
15 Reading written and visual sources, literature review. Project presentations Lecture, question and answer, application.
16 - FINAL EXAM -
17 - FINAL EXAM -