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| SEC 401 | Stock Assessment Methods | 3+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Provide basic information about the estimation of stock abundances for the better stock management using various methods. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | establish linkage between resouce management and the reasons of the need to stock abundance estimations. | 11,12,13,14 | 1,3,5 | | LO - 2 : | select assessment methods according to type of habitat, targeted species and research equipment. | 11,12,13,14 | 1,3,5 | | LO - 3 : | develop their skills in order to plan research surveys to understand data requirements of direct and indirect stock assessment methods. | 11,12,13,14 | 1,3,5 | | LO - 4 : | use most popular assessment methods likely VPA, Cohort and other experimental estimation methods. | 12,13 | 1,3,5 | | LO - 5 : | use estimated stock abundances in fisheries management. | 12,13 | 1,3,5 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Definition and descriptions, simple counting techniques and application areas, aerial methods, photo-electrical cells, acoustics, sonar and echo-sounding, mark and recapture methods, swept area, egg and larval surveys, VPA and cohort analysis, De Lurry regression method |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Fisheries and stock management, definitions, developments in this field in Turkey and in the world, introduction to course tools (textbook,calculator).
| | | Week 2 | The relationship between stock assessment and fisheries management, data needs.
| | | Week 3 | Classification of stock estimation methods, direct and indirect methods. | | | Week 4 | Simple assessment methods, counting with sensors and aerial surveys, rotenon method, acoustic method and other techniques, basic principles.
| | | Week 5 | Indirect assessment methods; methods based on cammercial catch data,environmental parameters and experimental catch, basic principles, data needs.
| | | Week 6 | De Lurry regresyon, Backiel, Huet, Gulland, Morpho Edaphic Indeks Methods, basic principles, data needs. | | | Week 7 | Swept area method and case studies, survey design and evaluation.
| | | Week 8 | Mid-term exam | | | Week 9 | Mark and recapture method, survey requirements, types of information gained, advantages, model types, case studies. | | | Week 10 | Egg and larval surveys, collecting agg and larval samples, counting, survey design, evaluation of the data, case studies.
| | | Week 11 | Virtual population analyses (VPA) and cohort analyses, analysis of mathematical models, case studies. | | | Week 13 | Student presentations, discussion on individual assignments.
| | | Week 14 | Student presentations, discussion on individual assignments.
| | | Week 15 | Compensation week and make up examination
| | | Week 16 | End-of-term exam | | | |
| 1 | Çelikkale, S., Düzgüneş, E. 1982. Balık Stoklarının Tespit Yöntemleri. Ankara Üniversitesi Ziraat Fakültesi Yayınları. No:816. Derlemeler: 42. Ankara. | | | |
| 1 | Avşar, D. 2005. Balıkçılık Biyolojisi Ve Populasyon Dinamği. Nobel yayın Dağıtım. ISBN: 9759183994. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 19/11/2012 | 2 | 50 | | End-of-term exam | 16 | 15/01/2013 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | | | | |
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