TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| ELECTRICAL-ELECTRONIC ENGINEERING PR. (ENGLISH) | |
| Code | EEES401 |
| Name | Digital Signal Processing |
| Term | 2019-2020 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 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 | Prof. Dr. SAMİ ARICA |
| Course Instructor |
Prof. Dr. SAMİ ARICA
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Analysis and representation methods and techniques for digital (discrete) signals and systems are introduced.
Course Content
Sampling and reconstruction. Introduction to discrete time signals and systems. Linear time invariant (LTI) systems; convolution sum. Discrete transforms; DFT, FFT, DCT, DCT. Z-transform and applications. Transform domain analysis of LTI systems. Finite impulse response digital filter design. Infinite impulse response digital filter design. Digital Signal Processors. Digital signal processing applications.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Describe and analyze discrete time signals in the time domain and frequency domain. |
| LO02 | Apply digital signal processing techniques to analyze discrete time signals and systems |
| LO03 | Apply digital signal processing techniques to design discrete time systems. |
| LO04 | Design and apply digital filters. |
| LO05 | Solve digital signal processing problems using Matlab. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | 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. | 5 |
| PLO02 | - | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | 5 |
| PLO03 | - | 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. | 4 |
| PLO04 | - | Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ computer programming techniques, and information technologies effectively. | 4 |
| PLO05 | - | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | 4 |
| PLO06 | - | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | 4 |
| PLO07 | - | Ability to communicate effectively, 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, | 4 |
| PLO08 | - | 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. | 4 |
| PLO09 | - | Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice. | 4 |
| PLO10 | - | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | 3 |
| PLO11 | - | Knowledge about the global and social effects of engineering practices 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. | 3 |
| PLO12 | - | Ability to apply the knowledge of electrical-electronics engineering to profession-specific tools and devices. | 0 |
| PLO13 | - | Having consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in. | 0 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Sampling and reconstruction. | Textbook reading/Problem solving. | |
| 2 | Discrete time signals and systems: classifications and properties. | Textbook reading/Problem solving. | |
| 3 | Linear time invariant systems: convolution sum. | Textbook reading/Problem solving. | |
| 4 | LTI-causal systems described by linear constant coefficient difference equations. | Textbook reading/Problem solving. | |
| 5 | Discrete transforms: DFT, FFT, DCT and DST. | Textbook reading/Problem solving. | |
| 6 | Discrete transforms: DFT, FFT, DCT and DST (continued). Assigment I. | Textbook reading/Problem solving. | |
| 7 | Z-transform and applications. | Textbook reading/Problem solving. | |
| 8 | Mid-Term Exam | Textbook reading/Problem solving. | |
| 9 | Z-transform and applications (continued). | Textbook reading/Problem solving. | |
| 10 | Transform domain analysis of LTI systems. | Textbook reading/Problem solving. | |
| 11 | Transform domain analysis of LTI systems (continued). | Textbook reading/Problem solving. | |
| 12 | Midterm Exam. II. Finite impulse response digital filter design. Assigment II. | Textbook reading/Problem solving. | |
| 13 | Infinite impulse response digital filter design. Assigment III. | Textbook reading/Problem solving. | |
| 14 | Digital Signal Processors. | Textbook reading/Problem solving. | |
| 15 | Digital signal processing applications. Assigment IV. | Textbook reading/Problem solving. | |
| 16 | Term Exams | Textbook reading/Problem solving. | |
| 17 | Term Exams | Textbook reading/Problem solving. |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 2 | 2 |
| Final Exam | 1 | 2 | 2 |
| Total Workload (Hour) | 88 | ||
| Total Workload / 25 (h) | 3,52 | ||
| ECTS | 4 ECTS | ||