TÜRKÇE
ENGLISH
Information
| Code | SAİ545 |
| Name | Trawl Fishery and selectivity |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| Duration (T+A) | 2-2 (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. GÖKHAN GÖKÇE |
| Course Instructor |
1 |
Course Goal / Objective
Teaching the improved selective device in trawl gears and also how the selectivity in codend or total gear is increased. In addition, teaching methods used in measure selectivity of the active gears and various analyzing methods made by available software and pocket programs.
Course Content
Importance of selectivity, classification of trawl gears, trawl gear and its codend selectivity, methods used in selectivity measuring, analyses of data gathered by various methods (covered codend paired gear) with available software, conducting a selectivity experiment, reporting of results and the use of selectivity data in fish stock assessment.
Course Precondition
NA
Resources
ICES Trawl Selectivty Manuel
Notes
ICES Trawl Selectivty Manuel
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | To use and practice of knowledge and skills for increasing the size and species selectivity with suitable design in codend or total gear, data collection methods and analyzes. |
| LO02 | To estimate the effect of selectivity parameters or results in stock management. |
| LO03 | To design selective fishing gear for sustainable fisheries. |
| LO04 | Describing trawl selectivity |
| LO05 | Calculate the trawl selectivity |
| LO06 | Create a relationship between trawl gear and the selectivity parameters |
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 | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Comprehends interdisciplinary relationships between theoretical and applied information of their expertise to synthesize and to produce new information | 4 |
| 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. | 3 |
| 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. | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Improves skills for independent study in their area of expertise, determinates unpredictable problems and produces methods of solutions | 4 |
| 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. | |
| 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 | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Definition and importance of selectivity | Lecture notes, papers | Öğretim Yöntemleri: Anlatım |
| 2 | Classification of fishing gears | Lecture notes, papers | Öğretim Yöntemleri: Anlatım |
| 3 | Designs and improvements | Lecture notes, papers | Öğretim Yöntemleri: Anlatım |
| 4 | Covered codend method | Lecture notes, papers | Öğretim Yöntemleri: Anlatım |
| 5 | Paired gear method | Lecture notes, papers | Öğretim Yöntemleri: Anlatım |
| 6 | Sorting grids | Lecture notes, papers | Öğretim Yöntemleri: Anlatım |
| 7 | Selectivity curve and parameters | Lecture notes, papers | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Estimation of the Selectivity curve and parameters | Lecture notes, papers | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 10 | Cover codend data analysis and graph interpretation | Lecture notes, papers | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 11 | Analysis and graphical interpretation of paired gear method | Lecture notes, papers | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | Mean curve (pooled data) | Lecture notes, papers | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 13 | Mean curve (between haul variation) | Lecture notes, papers | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Effects of selectivity in stock management | Lecture notes, papers | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | Term project presentations | Presentation | Öğretim Yöntemleri: Örnek Olay |
| 16 | Term Exams | Ölçme Yöntemleri: Proje / Tasarım, Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 2 | 2 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 28 | 28 |
| Total Workload (Hour) | 154 | ||
| Total Workload / 25 (h) | 6,16 | ||
| ECTS | 6 ECTS | ||