Information Package / Course Catalogue
Bayesian Data Analysis
Course Code: BİS625
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: 4
Objectives of the Course

To give information on Bayesian methods at graduate level to the students.

Course Content

Principles of Bayesian statistics; one- and two sample Bayesian models; Bayesian linear and generalized linear models; Monte Carlo approaches to model fitting; Hypothesis testing and model selection

Name of Lecturer(s)
Learning Outcomes
1.Understand the philosophy of Bayesian statistical modeling
2.To understand the analysis of some distributions with Bayesian methods
3.Understand Bayesian models for numerous data analysis situations, including prior elicitation
4.Be able to use software such as R or SAS to implement Bayesian analyses
5.Interpretation of the program outputs
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Review of Probability Concepts
Week 2 - Theoretical
Bayes' Law and the Basic Bayesian Framework
Week 3 - Theoretical
Bayesian Analyses for Basic One-Sample Models
Week 4 - Theoretical
Bayesian Linear Models
Week 5 - Theoretical
General Classes of Prior Distributions
Week 6 - Theoretical
Some Useful Monte Carlo Methods
Week 7 - Theoretical
Assessing model fit
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Bayesian Hypothesis Testing
Week 10 - Theoretical
Bayesian Analyses for Two- and k-Sample Models
Week 11 - Theoretical
Hierarchical Bayesian Models
Week 12 - Theoretical
Advanced Bayesian Models - I
Week 13 - Theoretical
Advanced Bayesian Models - II
Week 14 - Theoretical
Models for Clustered/Longitudinal Data
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
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)100
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
4
3
5
2
2
2
2
OÇ-2
OÇ-3
4
3
5
4
3
2
2
OÇ-4
4
4
5
5
3
4
5
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026