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 2024-2025 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
LO04 Analyse LTI systems with random inputs


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. 5
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 5
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. 2
PLO04 Bilgi - Kuramsal, Olgusal Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. 3
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. 4
PLO06 Bilgi - Kuramsal, Olgusal Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills. 2
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. 5
PLO08 Bilgi - Kuramsal, Olgusal Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself. 1
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice.
PLO10 Bilgi - Kuramsal, Olgusal Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. 4
PLO11 Bilgi - Kuramsal, Olgusal Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. 4


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: 11.05.2024 09:03