Information Package / Course Catalogue
Simulation Methods in Biostatistics
Course Code: BİS638
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 2
Credit: 4
Lab: 0
ECTS: 5
Objectives of the Course

Frequently used statistical simulation techniques to teach trials

Course Content

Basic Concepts: Random Number, Random Variables, System Models, Stochastic System Model , Qualifications random number generator, Qualifications random number generator, randomness Tests, Derivation of Random Number, Continuous Distributions, Discrete Distributions

Name of Lecturer(s)
Learning Outcomes
1.to Examine the Different States of the Examined Subject with Simulation Techniques
2.Learning statistical experimental design and its analysis by simulation
3.Learning the coefficient estimation techniques with the optimization method
4.To be able to integrate statistics into simulation techniques
5.To be able to apply simulation techniques
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic Concepts: Random Number, Random Variables, System Models, Stochastic System Model
Week 1 - Practice
Application with package programs
Week 2 - Theoretical
Qualifications random number generator
Week 2 - Practice
Application with package programs
Week 3 - Theoretical
randomness Tests
Week 3 - Practice
Application with package programs
Week 4 - Theoretical
Derivation of Random Number
Week 4 - Practice
Application with package programs
Week 5 - Theoretical
Derivation of a random variable
Week 5 - Practice
Application with package programs
Week 6 - Theoretical
Continuous Distributions
Week 6 - Practice
Application with package programs
Week 7 - Theoretical
Derivation of random Number in continuous distributions
Week 7 - Practice
Application with package programs
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Discrete Distributions
Week 9 - Practice
Application with package programs
Week 10 - Theoretical
Random Number Derivation of Discrete distributions
Week 10 - Practice
Application with package programs
Week 11 - Theoretical
Random Number Derivation of discrete Distributions
Week 11 - Practice
Application with package programs
Week 12 - Theoretical
Random Vector Derivation
Week 12 - Practice
Application with package programs
Week 13 - Theoretical
Random Vector Derivation
Week 13 - Practice
Application with package programs
Week 14 - Theoretical
Random Vector Derivation
Week 14 - Practice
Application with package programs
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 - Theory140342
Lecture - Practice140228
Assignment1505
Quiz2114
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)123
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
4
4
4
4
4
OÇ-2
5
4
5
4
5
4
5
OÇ-3
OÇ-4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026