Information Package / Course Catalogue
Statistical Genetics
Course Code: BİS630
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 3
Objectives of the Course

The course includes basic and molecular knowledge on genetics.

Course Content

Features and structure of nucleic acids, organization of genetic material in prokaryotes and eukaryotes, gene expression, regulation of gene expression in prokaryotes and eukaryotes, Mendelian inheritance, factors deviated from Mendel rules, sex determination and sex-linked inheritance, mutations, gene manipulations and genomic analysis.

Name of Lecturer(s)
Learning Outcomes
1.To be able to relate genetic and environmental effects to a quantitative feature
2.To be able to identify processes for estimating genetic and environmental impacts
3.Gain the basic skills to use the software used in the analysis of genetic data
4.Gain experience in the statistical methods which will be more effective in genetic research
5.To interpret the results of statistical analysis of genetic data
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Genetics Data Concepts and Tests - I
Week 2 - Theoretical
Genetics Data Concepts and Tests - II
Week 3 - Theoretical
Multiple Comparison Procedures - I
Week 4 - Theoretical
Multiple Comparison Procedures - II
Week 5 - Theoretical
Multiple Comparison Procedures - III
Week 6 - Theoretical
Methods for Unobservable Phase - I
Week 7 - Theoretical
Methods for Unobservable Phase - II
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Mendelian inheritance - II
Week 10 - Theoretical
Methods for Unobservable Phase - III
Week 11 - Theoretical
Classification and Regression Trees- I
Week 12 - Theoretical
Classification and Regression Trees - II
Week 13 - Theoretical
High Dimensional Data Analysis - I
Week 14 - Theoretical
High Dimensional Data Analysis - II
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
Assignment1505
Midterm Examination110111
Final Examination120121
TOTAL WORKLOAD (hours)79
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
OÇ-2
OÇ-3
5
5
4
5
3
4
3
OÇ-4
5
4
5
4
5
4
4
OÇ-5
4
5
4
4
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026