CEN442 Signal Processing for Computer Engineers

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

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN442
Name Signal Processing for Computer Engineers
Term 2021-2022 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
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
Course Instructor
The current term course schedule has not been prepared yet.


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

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understanding discrete and conintous signal concepts
LO02 Understanding 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 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 5
PLO03 - 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. 5
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 4
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 5
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 4
PLO07 - Can access information,gains the ability to do resource research and uses information resources 4
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 4
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 4
PLO10 - Professional and ethical responsibility, 3
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 2
PLO12 - Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues 2


Week Plan

Week Topic Preparation Methods
1 Discrete Signals Reading related chapter
2 Continous Signals Reading related chapter
3 Convolution and Fourier transform Reading related chapter
4 Specturm representation Reading related chapter
5 Digital Filter Design Reading related chapter
6 Sampling Theory Reading related chapter
7 Reconstruction Reading related chapter
8 Mid-Term Exam Review of lecture notes
9 Filtering Methods Reading related chapter
10 Multi-rate digital signal processing methods Reading related chapter
11 Z-transform representation Reading related chapter
12 Signal processing algorithms Reading related chapter
13 Multi-dimensional signl processing Reading related chapter
14 Example applications on audio signals Reading related chapter
15 Example applications on images Reading related chapter
16 Term Exams Review of lecture notes
17 Term Exams Review of lecture notes


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: 29.04.2025 12:48