Information Package / Course Catalogue
| Course Code | : CSE436 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 2 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
The course is designed to familiarize the students with the techniques for analyzing and synthesizing continuous-time as well as discrete-time systems. Time domain and frequency domain signal analysis tools are studied, and the subjects of filtering and modulation are introduced as signal processing techniques both in continuous-time and discrete-time. Design concepts are emphasized with respect to filtering and modulation. The aim of this course is to introduce the concepts of signal processing and machine learning and to have students apply them. At the end of the course, the student will recognize signal sources, analyze the signals forms, and learn about applying machine learning to these signals.
Basic concepts, signal sources, sensors and device types, signal processing techniques, feature extraction and dimensional reduction, missing data imputation, signal classification applications.
| Assoc. Prof. Ahmet Çağdaş SEÇKİN |
| 1. | Recognizing signal sources |
| 2. | Ability to collect and process signals from environment |
| 3. | Signal filtering |
| 4. | To be able to extract features in time and frequency domains |
| 5. | To be able to signal classification |
| 1. | Unpingco, J. (2016). Python for Signal Processing. Springer International Pu. |
| 2. | Little, M. A. (2019). Machine learning for signal processing: data science, algorithms, and computational statistics. Oxford University Press. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Final Examination | 1 | %60 |
| Term Assignment | 1 | %40 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Lecture - Practice | 14 | 0 | 2 | 28 |
| Assignment | 14 | 0 | 1 | 14 |
| Term Project | 1 | 16 | 8 | 24 |
| Midterm Examination | 1 | 16 | 8 | 24 |
| Final Examination | 1 | 16 | 16 | 32 |
| TOTAL WORKLOAD (hours) | 150 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | |
OÇ-1 | 5 | 5 | 5 | 3 | 3 | ||||||
OÇ-2 | 4 | 4 | 5 | 5 | 4 | 4 | |||||
OÇ-3 | 3 | 5 | 3 | 2 | 2 | ||||||
OÇ-4 | 5 | 5 | 3 | 2 | 3 | ||||||
OÇ-5 | 4 | 4 | 4 | 3 | 1 | ||||||