BIOL525 POPULATION GENETICS

Course Code:2380525
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Biology
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Prof.Dr. MEHMET SOMEL
Offered Semester:Fall Semesters.

Course Objectives

By the end of this course, students will:

1. be well rehersed with the basic principles of population genetics,

2. be able to quantitatively evaluate basic mathematical models in population genetics,

3. develop their intuition about evolution. 


Course Content

This course is concerned with the statistical consequences of Mendelian inheritance in populations of organisms. Hardy-Weinberg Principle, linkage disepuilibrium, genetic drift, inbreeding, mutation and neutral theory, natural selection, migration, molecular population genetics, ecological genetics and speciation are discussed.


Course Learning Outcomes

By the end of this course, student will:

- explain and distiguish the major mechanisms of evolution,

- explain the basic principles of population genetics,

- evaluate and distinguish the competing hypotheses in evolutionary biology. 

 


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1Explain the inner workings of the scientific process, discuss critically, and solve problems by applying appropriate statistical and computational methods; choose experimental and theoretical approaches in biology.
2Communicate issues in both English and Turkish with high proficiency.
3Read, and critique scientific communications in biology literature with worldwide recognition.
4Identify and explain issues in biological sciences within the context of other disciplines.
5Readily apply innovative theoretical and technological challenges acting upon the need for lifelong learning.
6Produce data and interpret results as an individual, as well as a team player, and lead whenever necessary.
7Apply and defend the rules of scientific ethics within their careers and professions.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution