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  Course Description
Course Name : Selectivity of passive fishing gears

Course Code : SAİ-526

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Asst.Prof.Dr. CANER ENVER ÖZYURT

Learning Outcomes of the Course : Knows passive fishing gears and defines them.
Knows sampling methods with gill nets.
Knows sampling methods with gill nets.
is able to analyze the data which are collected by passive fishing gears.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : YLSAİ-201 Specialization Field

Recommended Optional Programme Components : None

Aim(s) of Course : Data collection and calculation to determine length and species selectivity in passive fishing gear (gillnet and long lines).

Course Contents : Sampling methods to determine the length and species selectivity for gillnet and longline. Related methods to analyze samplings.

Language of Instruction : Turkish

Work Place : Clasroom of Fisheries Faculty and Seyhan Dam Lake.


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 The classification of fishing gears and (Active and Passive Fishing Gear) Reading the lecture notes and related resources Lecture,
2 Definition of selectivity Reading the lecture notes and related resources Lecture, laboratory practice
3 The Importance of selectivity for Fisheries Management Reading the lecture notes and related resources Lecture, laboratory practice
4 The parameters that affect the selectivity, homework Reading the lecture notes and related resources Lecture, laboratory practice
5 Gillnet Selectivity Reading the lecture notes and related resources Lecture, laboratory practice
6 Field work for gillnet selectivity 1 Reading the lecture notes and related resources Lecture, laboratory practice
7 Field work for gillnet selectivity 2 Reading the lecture notes and related resources Lecture, laboratory practice
8 Midterm exam Studying for exam Written exam
9 Field work for gillnet selectivity 3 Reading the lecture notes and related resources Lecture, laboratory practice
10 Analysis of the data, homework Reading the lecture notes and related resources Lecture, laboratory practice
11 Field work for longline 1 Reading the lecture notes and related resources Lecture, laboratory practice
12 Field work for longline 2 Reading the lecture notes and related resources Lecture, laboratory practice
13 Field work for longline 3 Reading the lecture notes and related resources Lecture, laboratory practice
14 Analysis of the data, homework Reading the lecture notes and related resources Lecture, laboratory practice
15 Analysis of the data Reading the lecture notes and related resources Lecture, laboratory practice
16/17 Final exam Studying for exam Written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Lecture note
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 3 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Deepens and improves the information based on university education up to expertise level in Fishing and Seafood Processing Technology 4
2 Comprehends interaction of expertise area in relation to interdisciplinary relationships 5
3 Comprehends interdisciplinary relationships between theoretical and applied information of their expertise to synthesize and to produce new information 4
4 Solves problems by using problem-solving and suitable methods, establishes cause and effect relationships in the process in his/her expertise. 5
5 Is able to carry out an independent study related to fishing and seafood processing technology and assesses the results of work. 4
6 Improves skills for independent study in their area of expertise, determinates unpredictable problems and produces methods of solutions 4
7 Accesses literature in their area of expertise and assesses knowledge and skill critically and leads to training. 3
8 Develops a positive attitude towards life long learning. 3
9 Prepares written and visual presentations with technological devices in their area of expertise 4
10 Examines and develops social relations and norms critically and changes all if necessary 1
11 Communicates both in written and verbal in one foreign language 3
12 Uses computer and communication technologies effectively for their expertise area. 2
13 Collects, assesses and publishes data related to their expertise area, cares publical, scientifical, cultural and ethicals values during data collection. 4
14 Develops strategy, politics and application plan in relation to expertise area and assesses the results obtained within the scope of quality process 4
15 Applies interdisciplinary studies with assimilated knowledge and skills for solving problem 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
    Homeworks, Projects, Others 3 20 60
    Mid-term Exams (Written, Oral, etc.) 1 2 2
    Final Exam 1 2 2
Total Workload: 162
Total Workload / 25 (h): 6.48
ECTS Credit: 6