Anadolu Info Package Anadolu Info Package
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Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Graduate School
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  • Measurement and Data Analitycs
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  • Data Visualization
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Course Title Code Compulsory/Elective Laboratory + Practice ECTS
Data Visualization ÖVA510 II. SEMESTER 3+0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) ARAŞ. GÖR. MUSTAFA ÇAVUŞ
Mode of Delivery Distance learning
Prerequisites There is no prerequisite for this course.
Courses Recomended There is no recommended course for this course.
Recommended Reading List Wilke (2019) Fundamentals of Data Visualization, O'Reilly Inc, USA.Dougherty and Ilyankou (2021) Hands-on Data Visualization, O'Reilly Inc, USA.Friendly and Wainer (2021) A History of Data Visualization and Graphic Communication, Harvard University Press, London, England.
Assessment methods and criteria Homework and Project
Work Placement There is no internship for this course.
Catalog Content Introduction to Data Visualization: Visual components, Coordinate systems, Color scales; Visualizing Quantities; Visualizing Distribution; Visualizing Ratios; Visualizing Relations; Visualizing Time Series; Visualizing Spatial Variables; Visual Design Principles: The principle of proportional ink, Handling overlapping points; Pitfalls of Color Use: Encoding too much or irrelevant information, Using non-monotonic color scales, Not designing for color-vision deficiency; Redundant Coding: Designing legends with redundant coding, Designing figures without legends; Multi-Panel Figures: Small multiples, Compound figures.

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