Information Package / Course Catalogue
Advanced Statistical Methods
Course Code: BİS637
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 4
Prt.: 0
Credit: 4
Lab: 0
ECTS: 5
Objectives of the Course

The aim of this course is the concepts of statistical techniques and allow them to practice in different disciplines on SPSS

Course Content

One-way analysis of variance, two or more way analysis of variance, regression, correlation, multiple regression, non-parametric statistics, the chi-square distribution.

Name of Lecturer(s)
Learning Outcomes
1.To learn theoretical patterns of multivariate statistical methods
2.
3.Undergraduate and master's degree programs, and the basic methods of the evaluation of multivariate distributions
4.Advanced methods of multivariate analysis and the implementation of their multi-dimensional data
5.To gain the ability to interpret the results of advanced biostatistical analysis correctly
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Multivariate parametric models
Week 2 - Theoretical
Multivariate nonparametric models
Week 3 - Theoretical
Multivariate analysis of variance-I
Week 4 - Theoretical
Multivariate analysis of variance-I
Week 5 - Theoretical
Repeated measures variance analysis
Week 6 - Theoretical
Covariance analysis
Week 7 - Theoretical
Multivariate covariance analysis
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Loglinear analysis-I
Week 10 - Theoretical
Loglinear analysis-II
Week 11 - Theoretical
Ensemble learning methods-I
Week 12 - Theoretical
Ensemble learning methods-II
Week 13 - Theoretical
Artificial neural networks
Week 14 - Theoretical
Propensity score analysis
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140456
Assignment25214
Quiz2216
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)120
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
4
4
5
4
4
4
4
OÇ-2
4
5
4
3
4
4
4
OÇ-3
5
4
4
4
4
4
4
OÇ-4
4
4
4
4
4
4
4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026