Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST411EXPLORATORY DATA ANALYSISElective475
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
1To be able to construct and interpret Stem&Leaf display, 5 and 7 number summary table
2To be able to obtain Letter values
3To be able to construct and interpret Boxplot
4To know the necessities, benefits, types and applications of transformation
5To be able to implement the required transformation in order to eliminate the dependence of spread on level
6To be able to implement the required transformation in order to make the data symmetric
7To be able to implement the matched transformations
8To be able to implement and interpret the resistant lines method
9To be able to implement the analysis and the interpretation of Two-way tables
10To 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
WeekTheoreticalPracticeLaboratory
0Stem&Leaf display
1Depth Concept and Letter values
25 and 7 number summary table and Boxplot
3Introduction of Matlab software
4Transformation and types of Transformation
5Transformation in order to eliminate the dependence of spread on level
6Transformation applications by the usage of Matlab
7Midterm Exam
8Transformation for symmetry
9Matched transformations
10Applications of Transformation for symmetry and Matched Transformations by the usage of Matlab
11Resistant lines method
12Resistant lines method by Matlab
13The analysis of Two-way tables
14Regression analysis by Matlab
15Final 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 ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
English
Work Placement(s)
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14342
Individual Study for Mid term Examination14141
Individual Study for Final Examination16363
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr