SAİ526 Selectivity of passive fishing gears

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code SAİ526
Name Selectivity of passive fishing gears
Term 2023-2024 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. CANER ENVER ÖZYURT


Course Goal / Objective

Data collection and calculation to determine length and species selectivity in passive fishing gear (gillnet and long lines).

Course Content

Sampling methods to determine the length and species selectivity for gillnet and longline. related methods to analyze samplings.

Course Precondition

None

Resources

Books, rewievs and articles about passive fishing gear

Notes

Internet Resources


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows passive fishing gears and defines them
LO02 Knows sampling methods with gill nets
LO03 Knows sampling methods with gill nets.
LO04 Evaluates the data collected with passive tools.
LO05 Explain the importance of selectivity for fisheries management
LO06 Knows the parameters affecting selectivity


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Deepens and improves the information based on university education up to expertise level in Fishing and Seafood Processing Technology 3
PLO02 Bilgi - Kuramsal, Olgusal Comprehends interaction of expertise area in relation to interdisciplinary relationships
PLO03 Bilgi - Kuramsal, Olgusal Comprehends interdisciplinary relationships between theoretical and applied information of their expertise to synthesize and to produce new information 3
PLO04 Bilgi - Kuramsal, Olgusal Solves problems by using problem-solving and suitable methods, establishes cause and effect relationships in the process in his/her expertise. 4
PLO05 Bilgi - Kuramsal, Olgusal Is able to carry out an independent study related to fishing and seafood processing technology and assesses the results of work. 2
PLO06 Bilgi - Kuramsal, Olgusal Improves skills for independent study in their area of expertise, determinates unpredictable problems and produces methods of solutions 3
PLO07 Beceriler - Bilişsel, Uygulamalı Accesses literature in their area of expertise and assesses knowledge and skill critically and leads to training. 3
PLO08 Beceriler - Bilişsel, Uygulamalı Develops a positive attitude towards life long learning.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Prepares written and visual presentations with technological devices in their area of expertise 3
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Examines and develops social relations and norms critically and changes all if necessary
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Communicates both in written and verbal in one foreign language
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Uses computer and communication technologies effectively for their expertise area. 3
PLO13 Yetkinlikler - Öğrenme Yetkinliği Collects, assesses and publishes data related to their expertise area, cares publical, scientifical, cultural and ethicals values during data collection. 3
PLO14 Yetkinlikler - Öğrenme Yetkinliği Develops strategy, politics and application plan in relation to expertise area and assesses the results obtained within the scope of quality process 2
PLO15 Yetkinlikler - Öğrenme Yetkinliği Applies interdisciplinary studies with assimilated knowledge and skills for solving problem 3


Week Plan

Week Topic Preparation Methods
1 The classification of fishing gears and (Active and Passive Fishing Gear) Reading the lecture notes and related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Definition of selectivity Reading the lecture notes and related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 The Importance of selectivity for fisheries management Reading the lecture notes and related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 The parameters that affect the selectivity Reading the lecture notes and related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Gilnet Selectivity Reading the lecture notes and related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Field work for gillnet selectivity 1 Reading the lecture notes and related resources Öğretim Yöntemleri:
Deney / Laboratuvar
7 Field work for gillnet selectivity 2 Reading the lecture notes and related resources Öğretim Yöntemleri:
Deney / Laboratuvar
8 Mid-Term Exam Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav, Ödev
9 Field work for gillnet selectivity 3 Reading the lecture notes and related resources Öğretim Yöntemleri:
Deney / Laboratuvar
10 Analysis of the data Reading the lecture notes and related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Field work for longline 1 Reading the lecture notes and related resources Öğretim Yöntemleri:
Deney / Laboratuvar
12 Field work for longline 2 Reading the lecture notes and related resources Öğretim Yöntemleri:
Deney / Laboratuvar
13 Field work for longline 3 Reading the lecture notes and related resources Öğretim Yöntemleri:
Deney / Laboratuvar
14 Analysis of the data 1 Reading the lecture notes and related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Analysis of the data 2 Reading the lecture notes and related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 11.05.2023 10:15