Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Data Visualization
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title YİST303 - Data Visualization
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) DOÇENT DOKTOR MUSTAFA ÇAVUŞ
Mode of Delivery This course will only face-to-face training.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There are no suggested lessons related with this course.
Recommended Reading List Clause O. Wilke (2019) Fundamentals of Data Visualization, O'Reilly Media
Assessment methods and criteria 1 Midterm exam, 1 homework, 1 final exam
Work Placement This is not appropriate for the course.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Fundamentals of data visualization
Week - 2 Coordinate systems and axes
Week - 3 Color scales
Week - 4 Visualization types
Week - 5 Visualizing distributions
Week - 6 Visualizing proportions
Week - 7 Visualizing time series
Week - 8 Principles of figure design
Week - 9 The principle of proportional ink
Week - 10 Common pitfalls of color use
Week - 11 Visualization applications
Week - 12 Understanding most commonly used image file formats
Week - 13 Visualization softwares
Week - 14 Telling a story and making a point

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Experiment
  • Drill - Practise
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Civic awareness
  • Eleştirel düşünebilme
  • Problem solving
  • Organization and planning
  • Decision making
  • To work in interdisciplinary projects
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Homework 1 20
Final Exam 1 50
Toplam (%) 70
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