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Course Description Course Name : Trawl fishery and selectivity Course Code : SAİ-545 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Asst.Prof.Dr. GÖKHAN GÖKÇE Learning Outcomes of the Course : Uses and practises of knowledge and skills for increasing the size and species selectivity with suitable design in codend or total gear, data collection methods and analyzes. Designs selective fishing gear for sustainable fisheries. Estimates the effect of selectivity parameters or results in stock management. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Learns 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 Contents : 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. Language of Instruction : Turkish Work Place : Class   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Definition and importance of selectivity Reading lecture notes Lecture 2 Classification of trawl gears Reading lecture notes Lecture 3 Trawl Designs and improvements Reading lecture notes Lecture 4 Covered codend method Reading lecture notes Lecture 5 Paired gear method Reading lecture notes Lecture 6 Sorting grids Reading lecture notes Lecture 7 Selectivity curve and parameters Reading lecture notes Lecture 8 Midterm exam Written exam 9 Data analysis of cover coded method Usage of selectivity programme Lecture, workshop 10 Data analyses of paired gear method Usage of selectivity programme Lecture, workshop 11 Mean curve (pooled data) Usage of selectivity programme Lecture, workshop 12 Mean curve (between haul variation) Usage of selectivity programme Lecture, workshop 13 Effects of selectivity in stock management Reading lecture notes Lecture 14 Project Presentation 15 Project Presentation 16/17 Final exam Written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Wileman, D.A., Ferro, R.S.T., Fonteyne, R., Millar, R.B. (eds.), 1996. Manual of Methods of Measuring the Selectivity of Towed Fishing Gears. Copenhagen: ICES Cooperative Research Report No. 215, 126 p.  Dickson, W., Smith, A., Walsh, S., 1995. Methodology Manual: Measurement of Fishing Gear Selectivity. The Department of Fisheries and Oceans, Ottawa, Ontario, Canada.  Pope, J.A., Margetts, A.R., Hamley, J.M. and Akyüz, E.F., 1975. Manual of Methods for Fish Stock Assessment. Part III. Selectivity of Fishing Gear, FAO Fisheries Technical Paper No. 41, Revision 1, 65 p. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 70     Homeworks/Projects/Others 2 30 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 5 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 5 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. 3 6 Improves skills for independent study in their area of expertise, determinates unpredictable problems and produces methods of solutions 3 7 Accesses literature in their area of expertise and assesses knowledge and skill critically and leads to training. 5 8 Develops a positive attitude towards life long learning. 3 9 Prepares written and visual presentations with technological devices in their area of expertise 5 10 Examines and develops social relations and norms critically and changes all if necessary 0 11 Communicates both in written and verbal in one foreign language 0 12 Uses computer and communication technologies effectively for their expertise area. 5 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 3 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 4 56     Out of Class Study (Preliminary Work, Practice) 14 2 28 Assesment Related Works     Homeworks, Projects, Others 2 25 50     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 138 Total Workload / 25 (h): 5.52 ECTS Credit: 6