COURSE UNIT TITLE

: MARINE ECOLOGICAL METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CDK 5151 MARINE ECOLOGICAL METHODS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR EYÜP MÜMTAZ TIRAŞIN

Offered to

MARINE LIVING RESOURCES

Course Objective

The aim of the course is to teach oceanographers the modern marine ecological sampling methods and ecological data analysis. Aspects of marine ecological data and appropriate univariate and multivariate statistical tools for analysing these data are covered in detail. In addition to studying various case studies students are also instructed to use their own data sets with personal computer statistical packages.

Learning Outcomes of the Course Unit

1   Recognize the great diversity of marine ecological data.
2   Recognize the need for sampling design and statistical analysis in marine ecological research.
3   Demonstrate an ability to design experiments or research surveys for marine ecological investigations.
4   Demonstrate understanding of a great range of ecological research methods and techniques to estimate abundances of marine plant and animal populations and how they can be used to address particular research questions.
5   Apply univariate and multivariate statistical analysis methods to make inferences about the ecological data and draw meaningful and valid conclusions.
6   Become able to use certain statistical software (R Project for Statistical Computing, PRIMER and CANOCO) to analyse data and interpret results.
7   Demonstrate critical thinking skills in evaluation of the strengths and weaknesses of their own research work and/or that of other researchers.
8   Communicate and discuss results from research projects and their implications with others in written and verbal forms.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description

Recomended or Required Reading

Textbook:

Krebs, Charles J. 1998. Ecological Methodology. Addison-Welsey Educational Publishers Inc., California, USA.

Reference books:
Gerald, J. B. 1990. Quantitative Ecology and Marine Biology. A. A. Balkema Co., Rotterdam, Netherlands.
Manly, B. F. J. 1994. Multivariate Statistical Methods: A Primer (2nd edition). Chapman & Hall, New York, USA.
Legendre, P. and Legendre, L. 1998. Numerical Ecology (2nd edition). Developments in Environmental Modelling, 20. Elsevier, Amsterdam, Netherlands.

Software

Ter Braak, C. J. F. 1988. CANOCO - a FORTRAN program for canonical community ordination by [partial] [detrended] [canonical] correspondence analysis. Agricultural Mathematics Group, Wageningen, Netherlands.
R software environment for statistical computing and graphics (R Project for Statistical Computing / http://www.r-project.org/).
Clarke, K. R. and Warwick, R. M. 2001. Primer. Change in Marine Communities: An Approach to Statistical Analysis and Interpretation. UK.

Planned Learning Activities and Teaching Methods

1. Lectures

Class lectures are carried out in a highly interactive format. The instructor prompts students for response to questions posed and solicits their thoughts on issues discussed. Lectures will focus on the real world applications, and additional elaboration and illustration will be provided for better comprehension.

2. Class Discussions

In-class assignments and homework assignments are the basis of problems to be solved in classroom discussions. Individual participation by students in classroom discussion will be strongly encouraged.

3. Computer Applications

The R, CANACO and PRIMER software will be introduced to perform analyses of data and to produce graphics.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 PRS PRESENTATION
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE* 0.30 + ASG * 0.20 + PRS * 0.10 + FIN * 0.40
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.30 + ASG * 0.20 + PRS * 0.10 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

All learning outcomes will be evaluated by midterm, final examination and homework reports and presentation.

Language of Instruction

Turkish

Course Policies and Rules

1. Regular attendance is essential for satisfactory completion of this course. Statistics is a cumulative subject and each lesson day builds on the previous lessons' material. If you have excessive absences, you cannot develop to your fullest potential in the course.

2. The student is responsible for all homework assignments, changes in assignments or other verbal information given in the class, whether in attendance or not.

3. Homework assignments must be delivered at the beginning of the lesson on the date they are due.

Contact Details for the Lecturer(s)

Dr. E. Mümtaz TIRAŞIN
Dokuz Eylül University, Institute of Marine Sciences and Technology,
Inciraltı 35340, Balçova - Izmir.
Phone:(+90) 232 2785565 /144
Fax: (+90) 232 2785082
E-mail: mumtaz.tirasin@deu.edu.tr

Office Hours

Will be announced by instructors after the completion of semester program.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparing Individual Assignments 10 4 40
Preparation for Final Exam 1 20 20
Preparation for Mid-term Exam 1 12 12
Preparation before/after weekly lectures 11 3 33
Preparing Presentations 1 12 12
Reading 10 3 30
Final 1 4 4
Mid-term 1 3 3
TOTAL WORKLOAD (hours) 193

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.1111111
LO.2351111
LO.3451211
LO.4452211
LO.5553211
LO.6251111
LO.7443433
LO.8453444

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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