Information Package / Course Catalogue
Research Principles in Oncology
Course Code: ONK524
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The main objective of this course is to provide the students with a general knowledge on the definition and types of data, table and graphical representation of data, normal distribution, hypothesis building, errors of hypothesis testing, distribution criteria, data analysis, descriptive and analytical analysis, parametric and non-parametric methods, correlation, regression analysis, advanced statistical methods, presenting and evaluating data in research, and evaluating findings in published research.

Course Content

In this course covers topics, data definition and types, data and table presentation, normal distribution distribution criteria, hypothesis testing errors data analysis, descriptive and analytical analysis, parametric, non-parametric methods, correlation, regression analysis, advanced statistical methods, data presentation and evaluation in research Critical evaluation of findings in published research.

Name of Lecturer(s)
Learning Outcomes
1.Have information about data definition, types, data collection methods
2.To be able to present data and tables
3.Have knowledge about normal distribution and distribution criteria
4.To be able to interpret the hypothesis testing mistakes, p value and meaning
5.To be able to analyze data (descriptive and analytical analysis, parametric, nonparametric methods, correlation, regression analysis, advanced statistical methods)
6.Have knowledge about data presentation and evaluation in oncological research
Recommended or Required Reading
1.Prof.Dr. Gazanfer Aksakoğlu, Sağlıkta araştırma ve çözümleme, D.E.Ü. Rektörlük Basımevi, İzmir, 2006.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Data types and classification
Week 2 - Theoretical & Practice
Locating and prevalent criteria
Week 3 - Theoretical & Practice
Statistical programs used in data analysis
Week 4 - Theoretical & Practice
Considerations in drawing tables and graphs
Week 5 - Theoretical & Practice
Normal distribution and normal distribution conformity analysis
Week 6 - Theoretical & Practice
Hypothesize, hypothesis testing mistakes and p value-1
Week 7 - Theoretical & Practice
Hypothesize, hypothesis testing mistakes and p value-2
Week 8 - Theoretical & Practice
Parametric methods (Mid-term exam)
Week 9 - Theoretical & Practice
Nonparametric methods
Week 10 - Theoretical & Practice
Correlation and regression analysis
Week 11 - Theoretical & Practice
Advanced statistical methods 1
Week 12 - Theoretical & Practice
Advanced statistical methods 2
Week 13 - Theoretical & Practice
Presentation and evaluation of research data
Week 14 - Theoretical & Practice
Critical evaluation of findings in published research
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Lecture - Practice141242
Assignment118220
Quiz118119
Midterm Examination124226
Final Examination148250
TOTAL WORKLOAD (hours)199
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
PÇ-11
PÇ-12
PÇ-13
PÇ-14
OÇ-1
3
3
5
2
4
OÇ-2
3
3
5
2
4
OÇ-3
3
3
5
2
4
OÇ-4
3
3
5
2
4
OÇ-5
3
3
5
2
4
OÇ-6
5
3
5
2
4
Adnan Menderes University - Information Package / Course Catalogue
2026