| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | FBT613-16 | ARTIFICIAL INTELLIGENCE APPLICATIONS IN FISHING | Compulsory | 1 | 2 | 6 |
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| Level of Course Unit |
| Second Cycle |
| Objectives of the Course |
| This lesson is to teach the establishment of artificial neural network models, where mathematical models can take place when you use the intended fishing areas. |
| Name of Lecturer(s) |
| Yrd. Doç. Dr. Ali Ekber ÖZDEMİR |
| Learning Outcomes |
| 1 | Learn artificial neural network | | 2 | Learn the learning algorithms necessary for these methods | | 3 | They can create models for use in the fishing field | | 4 | | | 5 | |
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| Mode of Delivery |
| Formal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Artificial neural network, ANFIS, MLP, RBF networks, Learning algorithms, Model building, Model testing, Use of established model for various analyzes |
| Weekly Detailed Course Contents |
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| 1 | Artificial neural networks
| | | | 2 | Artificial neural networks
| | | | 3 | Artificial neural networks
| | | | 4 | Fuzzy logic
| | | | 5 | MLP Network
| | | | 6 | RBF Network
| | | | 7 | ANFIS
| | | | 8 | Midterm
| | | | 9 | Learning algorithms
| | | | 10 | GD algorithm
| | | | 11 | LM Algorithm
| | | | 12 | OLS Algorithm
| | | | 13 | Set up a model for fishing
| | | | 14 | Model testing and use of the installed model | | | | 15 | Model testing and use of the installed model | | | | 16 | Final exam | | |
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| Recommended or Required Reading |
| Advances in Artificial Intelligence, Christian Lemaître Carlos A. Reyes Jesús A. González (Eds.), 2004, ISNB 3 – 540 – 30498 -3
Algorithms and Architectures Neural Network Systems Techniques and Applications, Cornelius T., Leondes, Academic Press,1998, ISNB0-12-443861-X
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| Planned Learning Activities and Teaching Methods |
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| Assessment Methods and Criteria | |
| SUM | 0 | |
| SUM | 0 | | Yarıyıl (Yıl) İçi Etkinlikleri | 40 | | Yarıyıl (Yıl) Sonu Etkinlikleri | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
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| Workload Calculation |
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| Midterm Examination | 1 | 2 | 2 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 29 | 4 | 116 |
| Report Preparation | 1 | 30 | 30 |
| Report Presentation | 1 | 30 | 30 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 1 | 5 | | | | | | | | | | | | LO2 | 1 | 2 | 4 | | | | | | | | | | | LO3 | 2 | 2 | 3 | | | | | | | | | | | LO4 | | | | | | | | | | | | | | LO5 | | | | | | | | | | | | |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Ordu University Rectorate Building ,Cumhuriyet Campus , Center / ORDU / TURKEY • Tel: +90 452 226 52 00
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