Rapor Tarihi: 22.12.2025 23:10
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Advanced Fisheries Biology and Population Dynamics | BIO623 | Turkish | Compulsory | 3 + 0 | 3.0 | 8.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Face to face |
| Course Coordinator | Prof. Dr. Şerife Gülsün KIRANKAYA |
| Instructor(s) | |
| Goals | To teach laws of fish growth, feeding ecology, reproductive biology, recruitment and early life history of fish, effects of fishing pressure on fish populations and basic laws od fish population dynamics. |
| Course Content | Theory of fish population dynamics and fisheries, Recruitment , egg-production , Quality of sex products, Course of Spawning, Growth and sexual maturation, Growth models, Variation of the growth parameters with age, Feeding, Food Supply and Food Relationships of Fish, The relationship between growth and food consumption and their dependence on population density, Total and natural mortality, Fishing mortality and effort, Effects of Fishing on Fish Populations, Basic Laws of Population Dynamics, Basic Laws of Population Dynamics, Mixed populations, The Analysis of Community Dynamics |
| # | Öğrenme Kazanımı |
| 1 | To able to interpret growth performance of fish populations |
| 2 | To know stages in fish growth and sexual maturity |
| 3 | To comprehend mechanism of reproduction control and reproductive success |
| 4 | To recognize fish population structure |
| 5 | To know food supply and food reletionship of fish |
| 6 | To comprehend effects of fishing on fish populations |
| 7 | To know regulation mechanisms in fish population numbers and mass |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Theory of fish population dynamics and fisheries | Interview, Presentation (Preparation) |
| 2. Week | Recruitment , egg-production | Interview, Presentation (Preparation) |
| 3. Week | Quality of sex products, Course of Spawning | Interview, Presentation (Preparation) |
| 4. Week | Growth and sexual maturation, | Interview, Presentation (Preparation) |
| 5. Week | Growth models, Variation of the growth parameters with age | Interview, Presentation (Preparation) |
| 6. Week | Feeding, Food Supply and Food Relationships of Fish | Interview, Presentation (Preparation) |
| 7. Week | The relationship between growth and food consumption and their dependence on population density | Interview, Presentation (Preparation) |
| 8. Week | Midterm | |
| 9. Week | Total and natural mortality | Interview, Presentation (Preparation) |
| 10. Week | Fishing mortality and effort | Interview, Presentation (Preparation) |
| 11. Week | Effects of Fishing on Fish Populations | Interview, Presentation (Preparation) |
| 12. Week | Basic Laws of Population Dynamics | Interview, Presentation (Preparation) |
| 13. Week | Basic Laws of Population Dynamics | Interview, Presentation (Preparation) |
| 14. Week | Mixed populations, The Analysis of Community Dynamics | Interview, Presentation (Preparation) |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Improve the scientific knowledge in the field of Biology to a more advanced level. Use the advenced knowledge to innovate, interpret the results, to apply the results and to design unique projects | ✔ | |||||
| 1 | Improve the scientific knowledge in the field of Biology to a more advanced level. Use the advenced knowledge to innovate, interpret the results, to apply the results and to design unique projects | ✔ | |||||
| 2 | Gain the ability to identify scientific questions, compare, analyze and solve the problems independently. | ✔ | |||||
| 3 | Gain the skills of using the modern laboratory techniques and analysis methods in the field of biology. | ✔ | |||||
| 4 | Gain the ability to get the information by doing research, to evaluate, interpret and apply it. | ✔ | |||||
| 5 | Gain the ability of discussion, synthesis and applying the scientific knowledge. | ✔ | |||||
| 6 | Gain the ability to design experimental studies, do the applications and analyse the complicated results using advanced skills, like critical thinking, problem solving and deciding. | ✔ | |||||
| 7 | Use the scientific knowledge and apply the ability of problem solving, evaluate and analyse advanced concepts in interdiciplinary fields. | ✔ | |||||
| 8 | Gain the scientific knowledge to set up communication with the collegues. Gain the ability to follow and use of the literature. Gain the ability to share or present the results of his/her own studies with the scientists during a scientific conference, workshop or seminar. | ✔ | |||||
| 9 | Participate scientific collaborations effectively and lead a scientific study if necessary. | ✔ | |||||
| 10 | Follow the innovations in the field of biology. Gain the ability to find resources and to use the databases. | ✔ | |||||
| 11 | Find new or strategical approaches to solve an unpredicted or advanced problems. | ✔ | |||||
| 12 | Improve scientific knowledge where there is a little or limited data present. Gain the ability to connect the information from different scientific diciplines. | ✔ | |||||
| 13 | Find unique ideas and get in contact with the professionals in scientific topics using his/her knowledge and skills. | ✔ | |||||
| 14 | Have the ability to read, understand, speak and write a foreign language in order to contact with the scientists from all over the World. | ✔ | |||||
| 15 | Follow novel developments in computational software and hardware systems related with biology, use this knowledge and skill in research. | ✔ | |||||
| 16 | Obey the ethical regulations and watch the ethical issues while designing a scientific study, collecting data, evaluating and publishing them. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 |
|---|---|---|---|---|---|---|---|
| PY1 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY2 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY6 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY7 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY8 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY9 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY10 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY11 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY12 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY13 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY14 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY15 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY16 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Preparation, After Class Study | 14 | 1 | 14 |
| Research | 2 | 1 | 2 | |
|
Sınavlar |
Midterm 1 | 1 | 2 | 2 |
| Homework 1 | 1 | 50 | 50 | |
| Homework 2 | 1 | 50 | 50 | |
| Final | 1 | 2 | 2 | |
| Classroom Activities | 14 | 3 | 42 | |
| Total Workload | 204 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 8.0 | ||
