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 |