CEN442 Signal Processing for Computer Engineers

6 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

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

Update Time: 18.11.2022 04:00