COMPUTER ENGINEERING (ENGLISH, PHD) | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CMP5133 | Artificial Neural Networks | Fall Spring |
3 | 0 | 3 | 12 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
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 |
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: | Neural Networks and Learning Machines By Simon Haykin Publisher: Prentice Hall; 3 edition |
References: | Yok - None |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | % 0 | |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | % 0 | |
Homework Assignments | 5 | % 25 |
Presentation | 1 | % 10 |
Project | 1 | % 25 |
Seminar | % 0 | |
Midterms | % 0 | |
Preliminary Jury | % 0 | |
Final | 1 | % 40 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 35 | |
PERCENTAGE OF FINAL WORK | % 65 | |
Total | % 100 |
Activities | Number of Activities | Workload | |
Course Hours | 14 | 42 | |
Laboratory | |||
Application | |||
Special Course Internship (Work Placement) | |||
Field Work | |||
Study Hours Out of Class | |||
Presentations / Seminar | |||
Project | 13 | 65 | |
Homework Assignments | 13 | 65 | |
Quizzes | |||
Preliminary Jury | |||
Midterms | |||
Paper Submission | |||
Jury | |||
Final | 5 | 19 | |
Total Workload | 191 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Ability to identify and apply advanced concepts in computer engineering | |
2) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams. | |
3) | Have theoretical and practical basis in computer engineering and science to be able to conduct related academic research independently. | |
4) | Ability to apply advanced mathematical and engineering knowledge on real problems. | |
5) | Ability to search the scientific literature related to a research project and find the relationships with own research | |
6) | Ability to interprete scientific research and use the findings | |
7) | Ability to work efficiently in interdisciplinary research teams | |
8) | Ability to attain scientific knowledge | |
9) | Ability find ways to improve upon current knowledge | |
10) | Ability to present research findings in seminars and conferences | |
11) | Ability to write research progress reports by referring to published theses and papers. | |
12) | Ability to show the responsibility of professional and ethical behavior |