COURSE UNIT TITLE

: MOLECULAR ECOLOGY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BYL 5072 MOLECULAR ECOLOGY 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 learn evaluating combined data of molecular phylogenetic and ecology (to reach goals inffered from different science branches).
2   To conduct a study on molecular ecological studies of the target species
3   To interpret results comes from molecular ecological studies of the target species.
4   To have basic knowledge about molecular ecology
5   To knowledge about tecniques and their usage are on molecular ecological research
6   To learn how to interpret data in the basis of molecular ecology
7   To use molecular data such as nucleic aside and proteins
8   To knowlodge about molecular techniques for ecological research
9   To knowledge about molecular studies on procaryota and eucaryota

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction, What is Molecular ecology
2 DNA Basic knowledge, Repairing, Replication, MtDNA
3 Mutations
4 Molecular evolution, phylogenetic, DNA character gene trees
5 Tree generalizations. Distance modals, Maximum parsimony, Maximum likelihood
6 Tree applications. Molecular echology studies
7 From haplotype to population. Lineage sorting, coalescence, genealogical concordance
8 Genetic diversity losing, HW equilibration, Recombination, Mutation, Drift, Selection, Disapperance
9 Neutral theory, Populational polimorphism
10 Genetic structure, measuring diversity, F statistics Gene flow and gene structure. Wright fst gene flowing estimation
11 Gene flow and gene structure. Wright fst gene flowing estimation
12 Fragment analysis, showing genetic transmission, Allozyme, RFLP, AFLP, RAPD, SSCP. Minisatelit, Microsatelit, SNP
13 Fragment analysis, showing genetic transmission, Allozyme, RFLP, AFLP, RAPD, SSCP. Minisatelit, Microsatelit, SNP
14 Fragment analysis, showing genetic transmission, Allozyme, RFLP, AFLP, RAPD, SSCP. Minisatelit, Microsatelit, SNP

Recomended or Required Reading

Singh RS, Uyenoyama MK (2004). Evolution of population biology. Cambridge University press. Cambridge

Freeland JR (2005). Molecular ecology. John Wiley & Sons Ltd. Vest Suseks.

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


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)

ferhat.matur@deu.edu.tr

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.355555555544
LO.4555555555
LO.5555555
LO.65555554555
LO.755555455
LO.85544555455
LO.9555454