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
  • Exploratory Data Analysis
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST243 - Exploratory Data Analysis
Course Type Area Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) PROFESÖR DOKTOR BETÜL KAN KILINÇ
Mode of Delivery The mode of delivery of this course is face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Required or Recommended Resources Tukey, J.W., Exploratory Data Analysis, Pearson, 1977.
Recommended Reading List Tukey, J.W., Exploratory Data Analysis, Pearson, 1977.
Assessment methods and criteria 1 Midterm Exam (Classic), 1 Homework and Final Exam (Classic)
Work Placement Not suitable for this course.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Statistics, Data, Exploratory Data Analysis.
Week - 2 Dot Diagram.
Week - 3 Stem-and-Leaf Display.
Week - 4 Bar Graph and Histogram.
Week - 5 Measures of Central Tendency and Dispersion.
Week - 6 Box-and-Whisker Plot.
Week - 7 Q-Q Plot.
Week - 8 Chernoff Faces and Parallel Coordinate Plot
Week - 9 Matrix Drawing and Star Plots.
Week - 10 Corrogram and Mosaic Plot
Week - 11 Pie and Radar Chart Techniques.
Week - 12 Dendogram
Week - 13 Corrogram and Mosaic Plot
Week - 14 Overview

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Team/Group Work
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • Rational
  • Creative
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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