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SÜRMENE FACULTY of MARINE SCIENCES / DEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING

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SÜRMENE FACULTY of MARINE SCIENCES / DEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING /
Katalog Ana Sayfa
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BTM4036R&D in Aquaculture and Statitical Analysis1+1+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 1 hour of lectures and 1 hour of practicals per week
LecturerProf. Dr. Nadir BAŞÇINAR
Co-LecturerÖğr.Gör.Dr. Ahmet ŞAHİN
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
R & D in Aquaculture and Statistical Analysis
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : do research and development studies in aquaculture.4,6,12,171
LO - 2 : search environmental, and nutritional requirements of the species.4,6,12,171
LO - 3 : collect data and 4,6,12,171
LO - 4 : make statistical analysis.4,6,12,171
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
The importance of research and development in aquaculture, new species culture, researches on environmental, and nutritional requirements of the species, research planning, system selection, data collection and statistical analysis, economic analysis.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction.
 Week 2The importance of research and development in aquaculture.
 Week 3The importance of research and development in aquaculture.
 Week 4New species in aquaculture, and their potential.
 Week 5Researches on environmental, and nutritional requirements of the species.
 Week 6Researches on environmental, and nutritional requirements of the species.
 Week 7Research planning.
 Week 8Mid-term exam
 Week 9System selection.
 Week 10Data collection and statistical analysis.
 Week 11Data collection and statistical analysis.
 Week 12Data collection and statistical analysis.
 Week 13Data collection and statistical analysis.
 Week 14Economic analysis.
 Week 15Economic analysis.
 Week 16End-of-term exam.
 
Textbook / Material
1Avault, J.W., 1996. Fundamentals of Aquaculture, AVA Publishing Company Inc., 889 p.
2Bhujel, R.C., 2008; Statistics for Aquaculture, Wiley Blackwell, USA. 222 p.
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Homework/Assignment/Term-paper 12 02/052018
End-of-term exam 16 28/05/2018 1 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 14 28
Sınıf dışı çalışma 2 14 28
Arasınav için hazırlık 10 1 10
Arasınav 1 1 1
Uygulama 2 4 8
Dönem sonu sınavı için hazırlık 10 1 10
Dönem sonu sınavı 1 1 1
Total work load86