| ENERGY SYSTEMS OPERATION AND TECHNOLOGIES (ENGLISH, NONTHESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| CMP5133 | Artificial Neural Networks | Fall | 3 | 0 | 3 | 12 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | English |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. CEMAL OKAN ŞAKAR |
| Course Lecturer(s): |
Assoc. Prof. CEMAL OKAN ŞAKAR |
| Recommended Optional Program Components: | None |
| Course Objectives: | The objective of this course is to introduce the fundamental artificial neural network architectures and algorithms. Students will also learn to use neural networks in order to solve real world problems. |
|
The students who have succeeded in this course; I. Explain the learning and generalization aspects of neural network systems. II. Be able to apply backpropagation algorithm to a classification problem III. Be able to apply support vector machines to a classification problem. IV. Be able to implement self organizing maps. V. Describe and explain the most common architectures and learning algorithms |
| Perceptrons, linear regression, least mean squares algorithm, multi-layer perceptrons, backpropagation algorithm, support vector machines, radial basis function networks, self organizing maps, recurrent neural networks. The teaching methods of the course include lectures, individual work, technology-assisted learning, project preparation. |
| Week | Subject | Related Preparation |
| 1) | Introduction | |
| 2) | Perceptron | |
| 3) | Linear regression | |
| 4) | Least mean squares algorithm. | |
| 5) | Multi-layer preceptrons. | |
| 6) | Backpropagation algorithm. | |
| 7) | Support vector machines | |
| 8) | Support vector machines | |
| 9) | Radial basis function networks. | |
| 10) | Radial basis function networks | |
| 11) | Self organizing maps | |
| 12) | Self organizing maps | |
| 13) | Recurrent neural networks | |
| 14) | Recurrent neural networks |
| Course Notes / Textbooks: | Neural Networks and Learning Machines By Simon Haykin Publisher: Prentice Hall; 3 edition |
| References: | Yok - None |
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 5 | % 25 |
| Presentation | 1 | % 10 |
| Project | 1 | % 25 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 35 | |
| PERCENTAGE OF FINAL WORK | % 65 | |
| Total | % 100 | |
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Project | 13 | 65 |
| Homework Assignments | 13 | 65 |
| Final | 5 | 19 |
| Total Workload | 191 | |
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | To be able to follow scientific literature, analyze it critically and use it effectively in solving engineering problems. | |
| 2) | Develops his/her knowledge in the field of Energy Systems Engineering to the level of specialization. | 3 |
| 3) | To be able to carry out studies related to Energy Systems Engineering independently, take scientific responsibility and evaluate the results obtained from a critical point of view. | |
| 4) | To be able to present the results of his/her research and projects effectively in written, oral and visual form in accordance with academic standards. | |
| 5) | To be able to conduct independent research on subjects requiring expertise in Energy Systems Operation and Technology, to develop original thought and to transfer this knowledge to practice. | |
| 6) | To be able to comprehend the interdisciplinary interactions related to the field of Energy Systems Engineering. | 5 |
| 7) | Acts in accordance with professional, scientific and ethical values; takes responsibility by considering the social, environmental and ethical impacts of engineering practices. |