Information Package / Course Catalogue
Generalized Linear Models
Course Code: ZZO527
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: 6
Objectives of the Course

Analysis of received data by using generalized linear mixed models

Course Content

Vectors and matrices, probability, statistical distributions, experimental designs with one and multiple factors, mixed models, maximum likelihood, parameter estimation in mixed models

Name of Lecturer(s)
Learning Outcomes
1.to be able to identify the statistics and relationships between statistics and other departments
2.to be able to acquire basic knowledge about application of statistics
3.to be able to acquire the skill of using at least one statistical package
4.to be able to recognize how to programme a computer
5.to be able to acquire knowledge about statistical estimations
6.to be able to gain knowledge about experimental designs
7.to be able to acquire the ability of decision making for future based on the statistical results and using statistical experiences in others areas
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Vectors and matrices
Week 2 - Theoretical
Probability theory
Week 3 - Theoretical
Discrete distributions
Week 4 - Theoretical
Continuous distributions
Week 5 - Theoretical
Expected values and variance-covariance of random variables, testing of hypothesis in linear models
Week 6 - Theoretical
Testing of hypothesis in one-factor linear models
Week 7 - Theoretical
Experimental designs with multiple factors and interactions
Week 8 - Theoretical
Experimental designs with multiple factors, Type I, II and III F test
Week 9 - Theoretical
Mixed models
Week 10 - Theoretical
Mixed models
Week 11 - Theoretical
Introduction to likelihood estimation
Week 12 - Theoretical
Characteristics of likelihood estimations
Week 13 - Theoretical
Parameter estimation in mixed models
Week 14 - Theoretical
Estimation of variance components in mixed models
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Midterm Examination130232
Final Examination140242
TOTAL WORKLOAD (hours)144
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
3
1
1
1
OÇ-2
2
2
2
OÇ-3
1
4
2
OÇ-4
3
3
OÇ-5
2
2
2
1
OÇ-6
3
2
1
2
1
OÇ-7
1
1
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026