COURSE UNIT TITLE

: GENETICAL TECHNIQUES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BYL 5071 GENETICAL TECHNIQUES ELECTIVE 3 0 0 6

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR FERHAT MATUR

Offered to

Ph.D. in Biology
Biology

Course Objective

To learn different use areas of genetics and advenced statistics and to use according to their needs.To control terminology in biology/genetics,molecular genetics and advanced statistics fields.To learn some computer applications.

Learning Outcomes of the Course Unit

1   To knowledge about current genetic techniques
2   To knowledge about evaluation of genetical technics
3   To knowledge about population biology
4   To knowledge about population genetics
5   To knowledge about molecular genetic
6   To knowledge about advanced statistic
7   To know how to use statical package software
8   Be able to use genetical and statical knowledge
9   To know how to use genetical application in Botanic and Zoology

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Genotype and phenotype
2 Multivariate statical analysis
3 cytogenetic
4 PCR and electrohoresis
5 PCR and electrohoresis
6 PCR and electrohoresis
7 Molecular techniques (Sequence analysis, Fragment analysis, RNA analysis, SNP, NGS)
8 Molecular techniques (Sequence analysis, Fragment analysis, RNA analysis, SNP, NGS)
9 Molecular techniques (Sequence analysis, Fragment analysis, RNA analysis, SNP, NGS)
10 Population genetic
11 Population genetic
12 Phylogenetic
13 Phylogenetic
14 Final exam

Recomended or Required Reading

Freeman S, Herron JS (2009). Evrimsel Analiz (Çeviri editörleri: Battal Çıplak, H. Hüseyin Başıbüyük, Süphan Karaytuğ, Islam Gündüz). Palme yayıncılık, Ankara.
Klug W., and Cummings MR (2009). Genetik kavramlar (çeviri editörü: Cihan Öner). Palme yayıncılık, Ankara. Sumner AT (2003).
Chromosome: organization and function Blackwell publishing, Berlin. Hillis D, Moritz C, Mable B (1996).
Molecular systematics. Sinauer Associates publishing, Sunderland. Zelditch ML, Swiderski DL, Shests HD, Fink WL (2004).
Geometric morphometrics for biologist: a primer. Elsevier academic press, Heilderberg.
Özdamar K (2004). Paket Programlar ile Istatistiksel Veri Analizi 2 Çok Değişkenli Analizler. Kaan basımevi, Eskişehir

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend and both the lecture and take part in the discussion sessions. Besides the taught lecture, group presentations are to be prepared by the groups assigned for that week and presented to open a discussion session.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Student will be evaluated with midterm exams, homework presentation and final exam.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 14 14
Preparation for final exam 1 14 14
Preparation for quiz etc. 4 3 12
Preparing assignments 14 2 28
Preparing presentations 6 2 12
Final 1 2 2
Midterm 1 2 2
Quiz etc. 4 1 4
TOTAL WORKLOAD (hours) 158

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.145555555
LO.25555555
LO.34555555
LO.4555555
LO.544555555
LO.65555555
LO.74555455
LO.85555555
LO.955555555