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| BTBL5470 | Ecosystem Modelling | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Practical | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | Not available | | Language of instruction | | | Professional practise ( internship ) | None | | | | The aim of the course: | | To teach modelling approaches and a practical programming environment to the students of biological sciences |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | do programming in excell | 1,2,4,7,10,11 | 1,3,4,6 | | PO - 2 : | estimate modelling parameters from observed data | 1,2,4,10,11,14 | 1,3,4,6 | | PO - 3 : | evaluate dynamics of biological systems in a different way | 1,2,4,10,11 | 1,3,4,6 | | PO - 4 : | improve their skills to use statistics | 1,2,4,10,11 | 1,3,4,6 | | PO - 5 : | model their MS and PhD studies | 1,2,4,10,11 | 1,3,4,6 | | 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), PO : Learning Outcome | | |
| Exploring how you conceptualize problems in aquatic ecosystems, common ways of describing relationships in mathematics, modeling types (deterministic and stochastic), parameter or constant estimation using optimization techniques, validation of models and developing an example |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Modelling in biological systems and their implications | | | Week 2 | Approaches to parameterise system dinamics | | | Week 3 | Parameter estimations - statistical approaches | | | Week 4 | Parameter estimations - optimization approaches | | | Week 5 | Model Types - Deterministic Models - I | | | Week 6 | Model Types - Deterministic Models - II | | | Week 7 | Model Types - Deterministic Model Application | | | Week 8 | Mid-term exam | | | Week 9 | Model Types - Stochastic Models - I | | | Week 10 | Model Types - Stochastic Models - II | | | Week 11 | Model Types - Stochastic Model Application | | | Week 12 | Artificial Networks | | | Week 13 | Qualitative modelling - Loop analysis | | | Week 14 | Modelling software Introduction (Stella) | | | Week 15 | Neural Networks | | | Week 16 | End-of-term exam | | | |
| 1 | James W. Haefner. 2005. Biological Systems: Principles and Applications. | | | |
| 1 | Donella Meadows.2008. Thinking in Systems: A Primer. Chelsea Green Publishing Company. | | | 2 | Bruce Hannon and Matthias Ruth 2008. Dynamic Modeling of Diseases and Pests, Springer. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 23/04/2012 | 1 | 50 | | End-of-term exam | 16 | 13/06/2012 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Kısa sınav | 1 | 1 | 1 | | Total work load | | | 1 |
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