| Course Description |
|
| Course Name |
: |
Advanced Topics in Neural Networks |
|
| Course Code |
: |
EE-588 |
|
| Course Type |
: |
Optional |
|
| Level of Course |
: |
Second Cycle |
|
| Year of Study |
: |
1 |
|
| Course Semester |
: |
Spring (16 Weeks) |
|
| ECTS |
: |
6 |
|
| Name of Lecturer(s) |
: |
Asst.Prof.Dr. TURGAY İBRİKÇİ
|
|
| Learning Outcomes of the Course |
: |
Understanding of Advanced Artificial Neural Models
Solves a problem with Artificial Neural Networks
|
|
| Mode of Delivery |
: |
Face-to-Face |
|
| Prerequisites and Co-Prerequisites |
: |
None |
|
| Recommended Optional Programme Components |
: |
None |
|
| Aim(s) of Course |
: |
To discuss Artificial Neural Networks related issues with students and prepare a project |
|
| Course Contents |
: |
Current topics, the implementation of artificial neural networks about of bioinformatics and to write a presentation of the topic |
|
| Language of Instruction |
: |
English |
|
| Work Place |
: |
Classroom |
|
|
Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Introduction and Overview |
Reading the related documents |
Presentation |
|
2 |
Computational Learning Theory |
Reading the related documents |
Presentation |
|
3 |
Support Vector Machines I |
Reading the related documents |
Presentation |
|
4 |
Support Vector Machines II |
Reading the related documents |
Presentation |
|
5 |
Clustering |
Reading the related documents |
Presentation |
|
6 |
Manifold Learning I (non-linear dimensionality reduction) |
Reading the related documents |
Presentation |
|
7 |
Manifold Learning II |
Reading the related documents |
Presentation |
|
8 |
Midterm Exam |
Studying of the previous topics |
Exam |
|
9 |
Ensembles |
Reading the related documents |
Presentation |
|
10 |
Recurrent Neural Networks I |
Reading the related documents |
Presentation |
|
11 |
Recurrent Neural Networks II |
Reading the related documents |
Presentation |
|
12 |
Spiking Neural Networks |
Reading the related documents |
Presentation |
|
13 |
Hybrid Systems |
Reading the related documents |
Presentation |
|
14 |
Presentations I |
Preparation of presentations |
Presentation |
|
15 |
Presentations II |
Preparation of presentations |
Presentation |
|
16/17 |
Final Exam |
Studying of the topics included in the course and student presentations |
Exam |
|
|
| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Communicates with people in an appropriate language and style. |
2 |
|
2 |
Specializes by furthering his knowledge level at least in one of the basic subfields of electiral-electronic engineering. |
4 |
|
3 |
Grasps the integrity formed by the topics involved in the field of specialization. |
4 |
|
4 |
Grasps and follows the existing literature in the field of specialization. |
4 |
|
5 |
Comprehends the interdisciplinary interaction of his field with other fields. |
4 |
|
6 |
Has the aptitude to pursue theoretical and experimental work. |
2 |
|
7 |
Forms a scientific text by compiling the knowledge obtained from research. |
5 |
|
8 |
Works in a programmed manner within the framework set by the advisor on the thesis topic, in accordance with the logical integrity required by this topic. |
4 |
|
9 |
Performs a literature search in scientific databases; in particular, to scan the databases in an appropriate manner, to list and categorize the listed items. |
5 |
|
10 |
Has English capability at a level adequate to read and understand a scientific text in his field of specialization, written in English. |
3 |
|
11 |
Compiles his/her knowledge in his/her field of specialization. in a presentation format, and presents in a clear and effective way. |
5 |
|
12 |
Writes a computer code aimed at a specific purpose, in general, and related with his/her field of specialization, in particular |
5 |
|
13 |
Pursues research ın new topics based on his/her existing research experıence. |
4 |
|
14 |
Gives guidance in environments where problems related with his/her field need to be solved, and takes initiative. |
4 |
|
15 |
Develops and evaluates projects, policies and processes in his field of specialization. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
|
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