DEGREE PROGRAMMES

: MARINE LIVING RESOURCES

General Description

History

Marine Living Resources PhD Program became active in 1975 when The Institute of Marine Sciences and Technology was established.

Qualification Awarded

Ph.D. in Marine Living Resources

Level of Qualification

Third Cycle (Doctorate Degree)

Specific Admission Requirements

Second Cycle (Master's Degree) diploma; minimum 80/100 or 3/4 Cumulative Grade Point Average, minimum score of 60 from the National Central Graduate Education Entrance Examination (ALES) in the related field; a minimum score of 70 from the graduate school entrance exam; a minimum score of 55 from the nation-wide Foreign Language Exam (YDS) or equivalent score from an exam accredited by YÖK.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

According to the Regulations of Dokuz Eylül University for Graduate Schools, students may be accepted for graduate transfer with the approval of the Department Directorate and decision of the Board of Directors of the Graduate School in case the student fulfills the graduate transfer regulations decided by the General Council of the Graduate School. Previously taken courses at another graduate programme with a successful grade may be recognized by the related programmes with the written request of the students including course contents and the transcript, and by the recommendation of the Department Directorates and by the decision of the Board of Directors. The courses taken by the outgoing Exchange students may have the recognition at the school either as compulsory or elective by the decision of the Board of Directors.

Qualification Requirements and Regulations

4 years, 2 semesters per year, 16 weeks per semester, 240 ECTS in total.

Profile of the Programme

The primary interests of Marine Living Resources are marine ecosystems, marine organisms distribution and their relationships with each other and their surroundings. In this context, our institution carries out the investigation of the biological and ecological characteristics of many species, populations and communities in different scales such as individual by performing autoecologic, sinecologic and demecologic studies in our seas starting from the most primitive single-celled organisms up to the most advanced of marine mammals. After identification, several studies can be carried out in order to monitor and protect the biodersity in our seas. Identifying, monitoring and assessment studies for impacts caused by natural events or human impact on marine and coastal areas. In addition to these studies, the effects of climate changes on the marine ecosystem, indicators, alien and invasive species, pollution sources and effects, determination of fisheries resources, stock prediction and management, sustainable use of stocks, our current fisheries policies in dealing with challenges such as the production and investigation of the environmental impact of aquaculture on issues being studied.
In the research;
* Trawlers, beam trawlers, IKMT (Isaac Kidd Midwater Trawl), Van Veen grab, Orange-peel, Box-corer, Drej, different types of plankton nets, Nansen, and sampling tools and systems such as the Rosette-Sampler,
* CTD profile devices, current meter and the discharge profile devices, photosynthetic light meter, Sidescan Echo Sounder, Scientific Echo Sounder and physical measuring devices, such as Net Sounder,
* Atomic, UV and Mass Spectrophotometer, measuring nutrient auto-analyzer, PCR, electrophoresis, gas and chemical measuring devices such as liquid chromatography,
* A variety of image registration system steoro-microscope, phase contrast, light and epifloresan microscopes are used.
Evaluation of the data obtained was subjected to analysis of spatial, Geographical Information Systems and remote sensing applications that allow Matlab, Foxpro, ArcGIS,
Erdas, Idrisi, MapViewer, Ocean Data View, and so on., software can be utilized. Physical oceanographic models (Killworth model with the help of Princeton MSDEW other software, MIKADO, NEMO, etc.) have been used in the analysis of hydrographic characteristics of the study area.

Key Learning Outcomes

1   Can develop management policies for living marine resources both in aquaculture and fisheries to ensure a sustainable yield, as well as provide independent scientific advice for decision-makers.
2   Is able to design and apply analytical studies, models and experimental research on marine bio-ecological processes, as well as analyze and interpret findings.
3   Is environmentally sensitive and can capably head research and training activities in accordance with current educational requirements to foster future professionals with the ability to generate new knowledge and use it to scientific and economic advantage.
4   Has published at least one scientific research paper in a national or international refereed journal.
5   Demonstrates the ability to prepare and teach undergraduate and graduate level courses in the field of living marine resources.
6   Stays up-to-date on national and international advances, developments and problems in marine research and strives to continuously learn and develop as a professional within the field.

Occupational Profiles of Graduates with Examples

The students who have graduated from the Marine Living Resources PhD Program can work in government corporations, as academicians and in several institutes and companies. Within the program, it is an expectation that graduate students will be able to participate as academically qualified experts at the forefront of science, plan studies that will develop into creative projects and use their research skills and collaborate with leading institutions and governmental and nongovernmental organizations in the sector, both domestic and foreign. In addition, graduates are encouraged to work in different related fields such as environmental technologies, food and pharmaceutical industries, fisheries and aquaculture and disease prevention.

Access to Further Studies

May apply to post doctorate programmes.

Course Structure Diagram with Credits

In addition to the compulsory courses of the programme, students register to elective courses appropriate for their thesis topic, on the consent of their supervisor. If necessary, on the consent of their supervisor, they can also register to courses from other programmes (from DEU or other universities). It is obligatory to register MAT5101 Applied Mathematics (3 0 0) or MAT5102 Numerical and Approximate Methods (3 0 0) or MAT5141 Mathematical Mehods (3 0 0) with approval of the supervisor. In the case of one of these courses taken during the M.Sc. education, these are not obligatory. The registration must be noticed to the Institute during course registration period by the supervisor.
T: Theoretical P: Practice L: Laboratory
B: Spring Semester G: Fall Semester H: Full Year
 
1 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 0 - ELECTIVE COURSE ELECTIVE - - - 30
TOTAL:   30
 
2 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 FBE 6666 PHILOSOPHY OF SCIENCE AND ETHICS COMPULSORY 3 0 0 5
B 2 DEN 6098 PH.D. RESEARCH COMPULSORY 3 0 0 9
B 0 - ELECTIVE COURSE ELECTIVE - - - 16
TOTAL:   30
 
3 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 DEN 6094 PH.D. SEMINAR COMPULSORY 0 3 0 5
G 2 DEN 6098 PH.D. RESEARCH COMPULSORY 3 0 0 9
G 0 - ELECTIVE COURSE ELECTIVE - - - 16
TOTAL:   30
 
4 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 DEN 6099 PH.D. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 
5 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 DEN 6099 PH.D. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 
6 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 DEN 6099 PH.D. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 
7 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 DEN 6099 PH.D. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 
8 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 DEN 6099 PH.D. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 
FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
Z 1 CDK 6025 FISH LARVAL ECOLOGY ELECTIVE 2 0 0 7
Z 2 CDK 5049 MEDITERRANEAN POLYPLACOPHORA SPECIES ELECTIVE 2 0 2 7
Z 3 MAT 5083 INTRODUCTION TO APPLIED MATHEMATICS ELECTIVE 3 0 0 9
Z 4 CDK 5021 DATA ANALYSIS IN OCEANOGRAPHY ELECTIVE 3 0 0 7
Z 5 MAT 5141 MATHEMATICAL METHODS ELECTIVE 3 0 0 9
Z 6 MAT 5101 APPLIED MATHEMATICS ELECTIVE 3 0 0 9
Z 7 CDK 5047 MARINE PROTECTED AREAS AND THEIR MANAGEMENT ELECTIVE 2 0 0 6
Z 8 CDK 6003 APPLIED BIOMETRY ELECTIVE 2 0 0 7
Z 9 CDK 5019 INTRODUCTION TO ECOSYSTEM MODELLING ELECTIVE 3 0 0 7
Z 10 CDK 5033 MARINE POLLUTION INDICATOR AND PATHOGEN MICROORGANISMS ELECTIVE 2 1 0 7
Z 11 CDK 5045 DEEP-SEA FISHES ELECTIVE 2 0 0 7
Z 12 CDK 5043 MARINE PHYTOPLANKTON ECOLOGY ELECTIVE 3 1 1 8
Z 13 CDK 5041 MARINE BENTHOS ELECTIVE 2 1 0 7
Z 14 CDK 5031 EXOTIC INVERTEBRATE SPECIES ON THE TURKISH COASTS ELECTIVE 3 0 0 7
Z 15 CDK 6001 TOXIC PHYTOPLANKTON AND THEIR ECOLOGY ELECTIVE 2 0 0 7
Z 16 CDK 6023 MARINE ECOLOGICAL METHODS ELECTIVE 3 0 0 8
Z 17 CDK 6015 PELAGIC ECOSYSTEM ELECTIVE 2 0 0 7
Z 18 CDK 5029 ENVIRONMENTAL IMPACTS OF AQUACULTURE ELECTIVE 2 0 0 7
Z 19 CDK 5011 POLLUTION IMPACTS ON MARINE BENTHOS ELECTIVE 2 0 0 7
Z 20 CDK 6029 FISH STOCK DYNAMICS ELECTIVE 3 0 0 8
Z 21 CDK 6007 PLANCTONIC ORGANISMS AND THEIR ECOLOGY ELECTIVE 2 0 0 7
Z 22 CDK 6005 FISHERIES OCEANOGRAPHY AND FAR SEAS FISHERIES ELECTIVE 2 0 0 7
Z 23 CDK 5048 MARINE GASTROPODS OF TURKEY ELECTIVE 2 0 2 6
Z 24 CDK 5046 ECONOMICALLY IMPORTANT MARINE INVERTEBRATES ELECTIVE 3 0 0 7
Z 25 MAT 5102 NUMERICAL AND APPROXIMATE METHODS ELECTIVE 3 0 0 9
Z 26 CDK 5044 CONSERVATION AND MANAGEMENT OF MARINE MAMMALS ELECTIVE 2 0 0 6
Z 27 CDK 5042 GENETICS OF MARINE PROKARYOTES ELECTIVE 3 0 0 7
Z 28 CDK 5040 MARINE MICROBIOLOGY ELECTIVE 2 0 0 9
Z 29 CDK 5038 AN ECOSYSTEM APPROACH TO AQUACULTURE ELECTIVE 2 0 0 7
Z 30 CDK 5036 PLANKTON AND LIVING MARINE RESOURCES ELECTIVE 2 0 0 8
Z 31 CDK 6028 MARINE FISH BEHAVIOUR ELECTIVE 2 0 0 7
Z 32 CDK 6026 THE ECOLOGY OF TELEOST FISH ELECTIVE 2 0 0 7
Z 33 CDK 6014 POPULATION DYNAMICS ELECTIVE 2 0 0 7
Z 34 CDK 5022 FEEDING ECOLOGY OF FISHES ELECTIVE 2 0 0 7
Z 35 CDK 5012 EVALUATION OF FISHERIES RESOURCES ELECTIVE 3 0 0 8
Z 36 CDK 5006 THE ECOLOGY TURKISH SEAS ELECTIVE 2 0 0 7
Z 37 CDK 5032 MARINE BIOFOULING ELECTIVE 3 0 0 9
Z 38 CDK 6010 SENSITIVE ECOSYSTEMS ELECTIVE 2 0 0 7
Z 39 CDK 6004 AQUACULTURE AND TECHNOLOGY ELECTIVE 2 0 0 7
Z 40 CDK 6002 BIOMETRICAL ANALYSES IN AQUATIC ECOSYSTEMS ELECTIVE 2 0 0 7
Z 41 CDK 5028 ADVANCES IN AQUATIC PHOTOSYNTHESIS ELECTIVE 2 0 0 7
Z 42 CDK 5014 THE CYTOLOGY OF MARINE PLANTS ELECTIVE 2 0 0 7
Z 43 CDK 5010 FISHERIES OF TURKEY ELECTIVE 2 0 0 7
Z 44 CDK 6030 FISH PHYSIOLOGY ELECTIVE 2 0 0 7
 

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylül University Regulations of Graduate Education and Exams and related items of Institute of Natural and Applied Sciences Regulations of Education and Code of Practicing Exams are applied for the exams and course grades.
The course evaluation criteria are defined for each course by the instructor(s) of the corresponding course and are given in the Course Description Form found in the information package.

Graduation Requirements

Third Cycle (Doctor of Philosophy) Programme is comprised of courses (at least 67 ECTS),Ph.D.Seminar (5 ECTS), Ph. D. Research (18 ECTS) / Ph. D. Thesis (150 ECTS) courses, thesis proposal, doctoral qualifying examination and thesis examination with a total credit of 240 ECTS. Students must have minimum Cumulative Grade Point Average (CGPA) of 2.50 / 4.00 and completed all the courses with at least CB / S / TP grades.

Mode of Study (Full-Time, Part-Time, E-Learning )

Full-time

Programme Director or Equivalent

Prof. Dr. Şermin AÇIKÇINAR
Bakü Bul. No:100 35430 İnciraltı-İzmir
Tel: (232) 278 5565 / 5272 / 6515 / 6525 / 5085 / 5083
Faks: (232) 278 5082
E-Posta: imst@deu.edu.tr