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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