MECHATRONICS ENGINEERING (ENGLISH, NON-THESIS) | |||||
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 | Spring | 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 : | Dr. Öğr. Üyesi CEMAL OKAN ŞAKAR |
Course Lecturer(s): |
Dr. Öğr. Üyesi 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. |
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) | Gains an academic background and abilities for making scientific research; analysis, interpretation and application of knowledge in subjects of Mechatronics Engineering. | |
2) | Acquires an ability to select, apply and develop modern techniques and methods for mechatronics engineering applications. | |
3) | Develops new and innovative ideas, procedures and solutions in the design of mechatronics systems, components and processes. | |
4) | Gains an ability for experimental design, data accumulation, data analysis, reporting and implementation. | |
5) | Acquires abilities for individual and team-work, communication and collaboration with team members and interdisciplinary cooperation. | |
6) | Gains an ability to communicate effectively oral and written; and a knowledge of English sufficient to follow technical developments and terminology. | |
7) | Acquires recognition of the need for, and an ability to access and report knowledge, to engage in life-long learning. | |
8) | Gains an understanding of universal, social and professional ethics. | |
9) | Acquires a knowledge of business-oriented project organization and management; awareness of entrepreneurship, innovation and sustainable development | |
10) | Gains awareness for the impact of mechatronics engineering applications on human health, environmental, security and legal issues in a global and social context. |