Course Name Code Semester T+U Hours Credit ECTS
Digital Signal Processing EEM 425 7 3 + 0 3 5
Precondition Courses EEM 335
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi GÖKÇEN ÇETİNEL
Course Lecturers Dr.Öğr.Üyesi GÖKÇEN ÇETİNEL,
Course Assistants Res.Asst. Burhan Barakli
Course Category Field Proper Education
Course Objective Introduce basic principles and concepts required for digital processing of analog signals
Course Content Sampling of analog signals, digital filter design, digital filter structures, fast Fourier transform (FFT) and software implementation of digital filters, finite wordlength effects, sampling frequency conversion, several applications
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Learning necessary and sufficient conditions for distortionless sampling of bandlimited analog signals Lecture, Drilland Practice, Demonstration, Simulation, Case Study, Testing, Homework, Project / Design,
2 Understanding digital FIR and IIR filter design Lecture, Drilland Practice, Demonstration, Simulation, Case Study, Testing, Homework, Project / Design,
3 Comprehending filtering of digital signals Lecture, Drilland Practice, Demonstration, Simulation, Case Study, Testing, Homework, Project / Design,
4 Discussing software and hardware implementation of digital filters Lecture, Drilland Practice, Demonstration, Simulation, Case Study, Testing, Homework, Project / Design,
5 Investigating finite wordlength effects on filtering Lecture, Drilland Practice, Demonstration, Simulation, Case Study, Testing, Homework, Project / Design,
6 Learning sampling frequency conversion Lecture, Drilland Practice, Demonstration, Simulation, Case Study, Testing, Homework, Project / Design,
7 Discussing different applications of digital signal processing in electronics engineering especially in control and communications Lecture, Drilland Practice, Demonstration, Simulation, Case Study, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Proof of sampling theorem for ideal sampling
2 Analog lowpass, highpass, bandpass and bandstop filter design
3 Anti-aliasing and reconstructing filter design for practical sampling
4 Introduction to digital filter design and digital infinite impulse response (IIR) filter design
5 Digital finite impulse response (FIR) filter design
6 Hardware implementation of a given IIR filter transfer function
7 Hardware implementation of a given FIR filter transfer function
8 Digital all pass filters
9 Fixed and floating point representation of numbers, Goertzel algorithm
10 Computation of discrete Fourier transform (DFT) via FFT
11 Finite wordlength effects on filter frequency response
12 Sampling frequency conversion (up and down sampling)
13 Multirate systems and filter banks
14 Digital signal processing applications (presentations of final projects)
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. X
2 Ability to identify formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. X
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.)
4 Ability to devise, select, and use modem techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. X
5 Ability to design and conduct experiments, gather data analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. X
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practice on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Ödev 10
2. Ödev 10
3. Ödev 10
1. Performans Görevi (Seminer) 30
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 1 16
Mid-terms 1 2 2
Quiz 2 1 2
Assignment 5 7 35
Project / Design 1 20 20
Final examination 1 2 2
Total Workload 125
Total Workload / 25 (Hours) 5
dersAKTSKredisi 5