ECTS - Digital Signal Processing

Digital Signal Processing (CMPE463) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Digital Signal Processing CMPE463 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce basic concepts and different approaches Digital Signal Processing. To introduce students to a working and hands-on knowledge of digital signal processing algorithms and filters.
Course Learning Outcomes The students who succeeded in this course;
  • Design and implement digital signal processing algorithms and filters for a given problem.
  • Decide on and apply suitable digital signal processing technique(s) to a given problem.
Course Content Discrete-time domain and frequency domain representation of signals and systems; sampling and reconstruction; DFT, FFT, z - transform, filter design techniques; finite word length effects; 2-D filtering; applications of DSP; programming of some DSP processors.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction : Signals , Systems and Signal Processing; Classification and Representation of Signals in discrete time domain; Linear, Time-Invariant Systems Chapters 1-2 (main text)
2 Difference Equations; Frequency Response Ch 1-2
3 Sampling and Reconstruction The discrete Fourier transform. ( DFT ) Ch 9
4 Sampling and Reconstruction The discrete Fourier transform. ( DFT ) Ch 9
5 Fast Fourier transform. ( FFT ) z- transform Frequency and time-domain response of filters. Ch 3-8
6 Fast Fourier transform. ( FFT ) z- transform Frequency and time-domain response of filters. Ch.3-8
7 Fast Fourier transform. ( FFT ) z- transform Frequency and time-domain response of filters. Ch 3-8
8 Fast Fourier transform. ( FFT ) z- transform Frequency and time-domain response of filters. Ch 3-8
9 Digital filter design, FIR and IIR filters. Digital filter structures. Finite word length effects. Chapter 8-9-10 (From other sources 1)
10 Digital filter design, FIR and IIR filters. Digital filter structures. Finite word length effects. Chapter 8-9-10 (From other sources 1)
11 Digital filter design, FIR and IIR filters. Digital filter structures. Finite word length effects. Chapter 8-9-10 (From other sources 1)
12 2- Dimensional Filtering Applications of DSP DSP Processors Chapter 15 (From other sources 1)
13 2- Dimensional Filtering Applications of DSP DSP Processors Chapter 15 (From other sources 1)
14 2- Dimensional Filtering Applications of DSP DSP Processors Chapter 15 (From other sources 1)

Sources

Course Book 1. John G. Prokis and Dimitris G. Manolakis, “Digital Signal Processing : Principle, Algorithms and Applications” Prentice Hall Inc., Englewood Cliffs, NJ (USA), 3rd Ed., 1996.
Other Sources 2. 1. S. K. Mitra, “Digital Signal Processing : A Computer-Based Approach” Mc Graw Hill Co. Inc., NY (USA), 1998.
3. 2. P. Lapsley, J. Bier and E.A. Lee ‘’ DSP Processor Fundamentals : Architectures and Features ‘’ IEEE Press, New York( USA ), 1997
4. 3. Lawrence R. Rabiner and Bernard Gold “Theory and Application of Digital Signal Processing” Prentice Hall, NJ (USA), 1975.
5. 4. C. Sidney Burrus, Computer-Based Exercises for Signal Processing Using Matlab, Prentice Hall, 1994. Matlab for Students, Prentice Hall, 1994. (for various formats).
6. 5. R.G.Lyons, “Understanding Digital Signal Processing (2nd Edition)”, Prentice-Hall, 2004.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Accumulated knowledge on mathematics, science and mechatronics engineering; ability to apply the theoretical and applied knowledge to model and analyze mechatronics engineering problems.
2 Ability to identify, define and formulate problems related to the field and to select and apply appropriate analysis and modeling methods to solve these problems.
3 Ability to design a complex system, product, component or process to meet the requirements under realistic constraints and conditions; ability to apply contemporary design methodologies; ability to implement effective engineering creativity techniques in mechatronics engineering. (Realistic constraints and conditions may include economics, environment, sustainability, producibility, ethics, human health, social and political problems.)
4 Ability to develop, select and use modern techniques, skills and tools for application of mechatronics engineering and robot technologies; ability to use information and communications technologies effectively.
5 Ability to design and perform experiments, collect and analyze data and assess the results for investigated problems on mechatronics engineering and robot technologies.
6 Ability to work effectively on intra-disciplinary and multi-disciplinary teams; ability for individual work; ability to communicate and collaborate/cooperate effectively with other disciplines and scientific/engineering domains or working areas, ability to work with other disciplines including electrical & electronics and computer engineering.
7 Ability to express creative and original concepts and ideas effectively in Turkish and English language, oral and written, and technical drawings.
8 Ability to reach information on different subjects required by the wide spectrum of applications of mechatronics engineering, criticize, assess and improve the knowledge-base; consciousness on the necessity of improvement and sustainability as a result of life-long learning; monitoring the developments on science and technology; awareness on entrepreneurship, innovative and sustainable development and ability for continuous renovation.
9 Consciousness on professional and ethical responsibility, competency on improving professional consciousness and contributing to the improvement of profession itself.
10 Knowledge on the applications at business life such as project management, risk management and change management and competency on planning, managing and leadership activities on the development of capabilities of workers who are under his/her responsibility working around a project.
11 Knowledge about the global, social and individual effects of mechatronics engineering applications on the human health, environment and security and cultural values and problems of the era; consciousness on these issues; awareness of legal results of engineering solutions.
12 Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions in the field of mechatronics engineering.
13 Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planning, improving or changing the norms with a criticism.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 5 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 126