Information Package / Course Catalogue
Generalized Linear Models
Course Code: BİS629
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

To introduce the general linear models and multivariate linear models, to present the subject of inference from linear models. Also, analysis of variance and covariance, some estimators and relationship between the estimators are given.

Course Content

Inference in the linear model, Analysis of variance, General linear models, Multivariate linear model, Linear inference

Name of Lecturer(s)
Learning Outcomes
1.Learn the subject of inference from the linear model
2.Genelleştirilmiş doğrusal modeli tanıyabilme
3.Learn the subject of general linear models
4.Learn the subject of misspecified and unknown dispersion
5.Learn the subject of multivariate linear model
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Exponential family distributions and their properties
Week 2 - Theoretical
Basic concepts and basic structure of generalized linear models
Week 3 - Theoretical
Estimation and inference for generalized linear models
Week 4 - Theoretical
Estimation and inference for generalized linear models
Week 5 - Theoretical
The basic structure of logistic regression models, prediction and inference
Week 6 - Theoretical
The basic structure of logistic regression models, prediction and inference
Week 7 - Theoretical
Basic structure of Poisson regression models, prediction and inference
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Basic structure of Poisson regression models, prediction and inference
Week 10 - Theoretical
Generalized linear models structure for other exponential family distributions
Week 11 - Theoretical
R’de doğrusal ve genelleştirilmiş doğrusal modelin kurulması, tahmin ve çıkarsama
Week 12 - Theoretical
Establishing a logistic regression model in R, prediction and inference
Week 13 - Theoretical
Establishing a logistic regression model in R, prediction and inference
Week 14 - Theoretical
Establishment of Poisson regression model in R, estimation and inference
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
Assignment1527
Quiz42112
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)119
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
3
2
2
2
2
OÇ-2
OÇ-3
4
4
4
2
3
2
2
OÇ-4
4
4
4
3
3
3
2
OÇ-5
4
4
4
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026