Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
1001014072014FISHERIES BIOLOGYCompulsory474
Level of Course Unit
First Cycle
Objectives of the Course
The main objectives of this course are to be learning of the concept of fisheries biology, population, stock; data collection and analyse; overview of fisheries in the world and Turkey; the factors affecting population and stock; growth, reproduction, diet in fish and executing models; Calculating mortality rates, recruitment and stock size; making a decision on fisheries management.
Name of Lecturer(s)
Prof.Dr. Hasan M. SARI
Learning Outcomes
1To distinguish the data used in Fisheries biology.
2Understand and interpret the effects of environmental factors in fish populations.
3Growth, reproduction and feeding biology of fish and evaluate related data.
4Calculate and interpret the parameters of fish stocks decline.
5Calculate the size of stock and manage the fishery.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
The concept of fisheries biology, fisheries in the world and Turkey, Passive and active fishing, Metric and meristic measurements and evaluation, Age estimation methods, The concepts of population, stock and unit stock, the balance in stock, Stock separation methods, The factors affecting stock, Age, length and weight data to evaluate, Growth, Length-weight relationship, Sex determination, Determine the maturity stages, Fecundity and determining spawning period, Recruitment and mortality (total, natural and fishing mortality), Diet types and analysis, Stock size estimation methods (Mark-recapture, Depletion, Egg and larvae survey, Acoustic survey, Swept method, Virtual population Analysis), Fisheries management.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
0The concept of fisheries biology, fisheries in the world and TurkeyField work and collecting materials
1Passive and active fishingField work and collecting materials
2Metric and meristic measurements and evaluationMetric data collection
3Age estimation methodsMeristic data collection
4The concepts of population, stock and unit stock, the balance in stock, Stock separation methods Application of the method of age determination
5The factors affecting stockApplication of the method of age determination
6Age, length and weight data to evaluateData handling and evaluating
7Mid-Term examData handling and evaluating
8Growth models length-weight relationshipLaboratory midterm exam
9Sex determination, Determine the maturity stages, Fecundity and determining spawning periodGuided problem solving
10Recruitment and mortality (total, natural and fishing mortality)Guided problem solving
11Diet types and analysisGuided problem solving
12Stock size estimation methodsGuided problem solving
13Stock size estimation methodsGuided problem solving
14Fisheries managementGuided problem solving
15Final ExamLaboratory exam
Recommended or Required Reading
Ders notları (Lecture notes) Avşar, D. (2005). Balıkçılık Biyolojisi ve Populasyon Dinamiği. Nobel Kitabevi, Adana. Erkoyuncu, İ. (1995). Balıkçılık Biyolojisi ve Populasyon Dinamiği. Ondokuz Mayıs Üniveristesi yayınlar No:95. Sinop. Summerfelt, R.C, Hall, G.E. (1987). Age and Growth of Fish. Iowa State University Press. Gulland, J.A. (1991). Fish Population Dynamics. John Wiley & Sons, New York.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14228
Laboratory14114
Project Preparation11010
Self Study5315
Individual Study for Mid term Examination11010
Individual Study for Final Examination12020
Laboratory Midterm Examination111
Laboratory Examination111
Homework248
TOTAL WORKLOAD (hours)109
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
PO
12
PO
13
LO15 4   43225 3
LO2554535554553 
LO3555544544554 
LO45454445554454
LO5             
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr