Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits İST411 EXPLORATORY DATA ANALYSIS Elective 4 7 5
Level of Course Unit
First Cycle
Objectives of the Course
To make students to learn how to organize and analyze data in detail and how to interpret the cause-effect relationships.
Name of Lecturer(s)
Assoc. Prof. Dr. Hakan Savaş SAZAK
Learning Outcomes
 1 To be able to construct and interpret Stem&Leaf display, 5 and 7 number summary table 2 To be able to obtain Letter values 3 To be able to construct and interpret Boxplot 4 To know the necessities, benefits, types and applications of transformation 5 To be able to implement the required transformation in order to eliminate the dependence of spread on level 6 To be able to implement the required transformation in order to make the data symmetric 7 To be able to implement the matched transformations 8 To be able to implement and interpret the resistant lines method 9 To be able to implement the analysis and the interpretation of Two-way tables 10 To be able to implement the regression analysis by checking the outliers and model adequacy
Mode of Delivery
Face to Face
Prerequisites and co-requisities
Recommended Optional Programme Components
Basic Usage Knowledge on the Matlab Software
Course Contents
• Stem&Leaf display • Letter values, 5 and 7 number summary table and Boxplot • Transformation • Transformation in order to eliminate the dependence of spread on level • Transformation for symmetry • Matched Transformations • Resistant lines method • The analysis of Two-way tables • Regression analysis
Weekly Detailed Course Contents
 Week Theoretical Practice Laboratory 0 Stem&Leaf display 1 Depth Concept and Letter values 2 5 and 7 number summary table and Boxplot 3 Introduction of Matlab software 4 Transformation and types of Transformation 5 Transformation in order to eliminate the dependence of spread on level 6 Transformation applications by the usage of Matlab 7 Midterm Exam 8 Transformation for symmetry 9 Matched transformations 10 Applications of Transformation for symmetry and Matched Transformations by the usage of Matlab 11 Resistant lines method 12 Resistant lines method by Matlab 13 The analysis of Two-way tables 14 Regression analysis by Matlab 15 Final Exam
Recommended or Required Reading
Hoaglin, D.C., Moesteller, F. & Tukey, J.W., “Understanding Robust and Exploratory Data Analysis”, 1983, John Wiley & Sons Inc. Martinez, W.L. & Martinez, A.R., “Computational Statistics Handbook with MATLAB”, 2002, Chapman & Hall/CRC
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
 Term (or Year) Learning Activities Quantity Weight Midterm Examination 1 100 SUM 100 End Of Term (or Year) Learning Activities Quantity Weight Final Sınavı 1 100 SUM 100 Term (or Year) Learning Activities 40 End Of Term (or Year) Learning Activities 60 SUM 100
Language of Instruction
English
Work Placement(s)