Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / BYL 733 - BİYOLOJİ(DOKTORA)

Code: BYL 733 Course Title: GENETIC ANALYSIS OF POPULATIONS Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Fall Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department BİYOLOJİ(DOKTORA)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ERDOĞAN ÇİÇEK (erdogancicek@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to teach knowledge about population genetics and methods used in genetic analysis of populations.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 can define the factors affecting the genetic structure of populations PO-1 Have an advanced level of knowledge about the recent and best practices in Biology, deepen and expand their knowledge on the expert level, conduct and assess the analyses by employing statistical methods
PO-2 Plan experiments and carry out original researches in the field by making use of the theoretical and practical knowledge at the expert level that they have obtained in their field
Oral Examination
Presentation
LO-2 can explain the concepts of gene pool, allele frequencies, Hardy Weinberg. PO-1 Have an advanced level of knowledge about the recent and best practices in Biology, deepen and expand their knowledge on the expert level, conduct and assess the analyses by employing statistical methods
PO-2 Plan experiments and carry out original researches in the field by making use of the theoretical and practical knowledge at the expert level that they have obtained in their field
PO-3 Make use of the knowledge they have in order to find a solution to problems by analyzing, comparing and questioning them and can carry out original research in the related field on their own
Examination
Performance Project
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Genetic structure of populations, natural selection, allele frequency in gene pool, Hardy-Weinberg, evolution of populations.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Genetic and population genetics Explanation
2 Allelic frequencies and changes in population gene pool Explanation
3 The relationship between genotype and allele frequency, Hardy Weinberg. Explanation
4 Calculation of frequency for multiple alleles and X-linked properties Explanation
5 Natural selection and allele frequency Explanation
6 Mutation and new allele formations Explanation
7 Migration and gene flow changes Explanation
8 mid-term exam
9 Genetic drift Explanation
10 Genetic drift Explanation
11 Reading and discussing related articles Discussion, question-answer
12 Reading and discussing related articles Discussion, question-answer
13 Reading and discussing related articles Discussion, question-answer
14 Reading and discussing related articles Discussion, question-answer
15 Reading and discussing related articles Discussion, question-answer
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Klug, W. S., Cummings, M. R., Charlotte, A. S., Genetik Kavramlar, Palme Yayıncılık
Required Course instruments and materials
Klug, W. S., Cummings, M. R., Charlotte, A. S., Genetik Kavramlar, Palme Yay?nc?l?k

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 4 14 56
       b) Search in internet/Library 4 14 56
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 2 6 12
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 2 5 10
mid-term exam 1 1 1
Own study for final exam 2 7 14
final exam 1 1 1
0
0
Total work load; 192