Information Package / Course Catalogue
Decision Trees
Course Code: BİS533
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The aim of the course is to give a basic knowledge of statistical concepts in decision trees and to give training in the use of computers for statistical calculations and in the evaluation of the quality of statistical investigations.

Course Content

Base concepts in decision trees, theory and applications of CHAID, C&RT, QUEST, C4.5, C5.0 methods.

Name of Lecturer(s)
Prof. İmran KURT ÖMÜRLÜ
Learning Outcomes
1.Be able to relate questions on random variation and observed data, to both applied and theoretical concepts: variables/random variables, distributions and association between variables
2.Be able to explain the concepts of decision trees
3.Be able to explain a statistical decision model and concepts as decision, uncertainty and values
4.To make parameter optimization in decision trees models
5.Be able to describe basic techniques for statistical inference and be able to use them in some statistical models
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Terminology and Goals
Week 2 - Theoretical
Using decision trees for health sciences
Week 3 - Theoretical
Structure of decision trees and basic concepts
Week 4 - Theoretical
Criteria for choosing and stopping the best split in decision tree building
Week 5 - Theoretical
Overfitting and Underfitting problems
Week 6 - Theoretical
Pruning techniques
Week 7 - Theoretical
Regression Trees
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
Classification Trees
Week 10 - Theoretical
CART algorithm and features
Week 11 - Theoretical
Classification by CART algorithm
Week 12 - Theoretical
Regression by CART algorithm
Week 13 - Theoretical
CHAID analysis
Week 14 - Theoretical
Quest analysis
Week 15 - Theoretical
Literature review and discussion
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Assignment210020
Seminar215234
Reading140114
Individual Work100220
Quiz142142
Midterm Examination110111
Final Examination115217
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
3
4
4
4
4
4
3
4
3
3
OÇ-2
3
4
3
3
3
3
2
3
1
2
OÇ-3
3
3
3
2
2
3
2
3
2
2
OÇ-4
OÇ-5
4
5
4
5
4
4
4
5
5
Adnan Menderes University - Information Package / Course Catalogue