Information
Code | CEN442 |
Name | Signal Processing for Computer Engineers |
Term | 2022-2023 Academic Year |
Semester | 8. Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | İngilizce |
Level | Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | |
Course Instructor |
1 |
Course Goal / Objective
Understanding the use of signal processing methods in computer engineering applications
Course Content
Digital Signal concept and digital signal processing methods, discrete and continous time signals and systems, time domain signals, Fourier series, Z dönüşümleri, digital signal sampling, multi dimensional signal processing
Course Precondition
unavailable
Resources
Signals and Systems - Oppenheim & Wilsky
Notes
Signals and Systems - Oppenheim & Wilsky
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Understanding discrete and conintous signal concepts |
LO02 | Learn signal processing methods |
LO03 | Understanding how to apply signal processing methods to computer engineering problems |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Has capability in the fields of mathematics, science and computer that form the foundations of engineering | 5 |
PLO02 | Bilgi - Kuramsal, Olgusal | Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, | 5 |
PLO03 | Bilgi - Kuramsal, Olgusal | Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. | 2 |
PLO04 | Bilgi - Kuramsal, Olgusal | Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. | 3 |
PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and to conduct experiments, to collect data, to analyze and to interpret results | 4 |
PLO06 | Bilgi - Kuramsal, Olgusal | Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence | 2 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Can access information,gains the ability to do resource research and uses information resources | 5 |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability | 1 |
PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language | 5 |
PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Professional and ethical responsibility, | 4 |
PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, | 4 |
PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues | 1 |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Discrete Signals | Reading related chapter | Öğretim Yöntemleri: Anlatım |
2 | Continous Signals | Reading related chapter | Öğretim Yöntemleri: Anlatım |
3 | Convolution and Fourier transform | Reading related chapter | Öğretim Yöntemleri: Soru-Cevap |
4 | Specturm representation | Reading related chapter | Öğretim Yöntemleri: Anlatım |
5 | Digital Filter Design | Reading related chapter | Öğretim Yöntemleri: Tartışma |
6 | Sampling Theory | Reading related chapter | Öğretim Yöntemleri: Anlatım |
7 | Reconstruction | Reading related chapter | Öğretim Yöntemleri: Tartışma |
8 | Mid-Term Exam | Review of lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
9 | Filtering Methods | Reading related chapter | Öğretim Yöntemleri: Anlatım |
10 | Multi-rate digital signal processing methods | Reading related chapter | Öğretim Yöntemleri: Anlatım |
11 | Z-transform representation | Reading related chapter | Öğretim Yöntemleri: Tartışma |
12 | Signal processing algorithms | Reading related chapter | Öğretim Yöntemleri: Benzetim |
13 | Multi-dimensional signl processing | Reading related chapter | Öğretim Yöntemleri: Anlatım |
14 | Example applications on audio signals | Reading related chapter | Öğretim Yöntemleri: Soru-Cevap |
15 | Example applications on images | Reading related chapter | Öğretim Yöntemleri: Anlatım |
16 | Term Exams | Review of lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Review of lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
Final Exam | 1 | 30 | 30 |
Total Workload (Hour) | 157 | ||
Total Workload / 25 (h) | 6,28 | ||
ECTS | 6 ECTS |