Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
FBT614-16COMPUTER PROGRAMMING IN FISHINGCompulsory126
Level of Course Unit
Second Cycle
Objectives of the Course
Aim of this course is to construct and learned of some artificial neural network system that they can replace of complex mathematical models.
Name of Lecturer(s)
Yrd. Doç. Dr. Ali Ekber ÖZDEMİR
Learning Outcomes
1Learn artificial neural network
2Learn the learning algorithms necessary for these methods
3They can create models for use in the fishing industry
4
5
Mode of Delivery
Formal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Artificial neural network system, ANFIS, MLP, RBF ağları, Learning Algorithms, Model construction, Model testing, Usage of model for some kind of analysis
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Artificial neural networks
2 Artificial neural networks
3Artificial neural networks
4Fuzzy logic
5MLP network
6RBF network
7ANFIS
8Midterm exam
9Learning algorithms
10GD algorithm
11LM algorithm
12OLS algorithm
13Set up a model for fishing
14Model testing and use of established model
15Model testing and use of established model
16Final exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
Yarıyıl (Yıl) İçi Etkinlikleri40
Yarıyıl (Yıl) Sonu Etkinlikleri60
SUM100
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures294116
Report Preparation13030
Report Presentation13030
TOTAL WORKLOAD (hours)180
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
LO115          
LO223          
LO342          
LO4            
LO5            
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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