Course Outlines and Prerequisites

<< Course Outlines and Prerequisites

EE361 - Introduction to Digital Signal Processing

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  • COURSE INFORMATON

    Course Title

    Code

    Semester

    C +P + L  Hour

    Credits

    ECTS

    INTRODUCTION TO DIGITAL SIGNAL PROCESSING

    EE 361

    5

    3+0+2

    4

    7

     

    Prerequisites

     

    Language of Instruction

    English

    Course Level

    Undergraduate

    Course Type

    Core

    Course Coordinator

    Duygun Erol Barkana

    Instructors

    Duygun Erol Barkana

    Assistants

    Utku Tuncel, Elif Gümüşlü

    Goals

    This course aims to introduce the discrete and continuous time signals and systems to the student. This course also prepares the necessary background for core courses on control and communication systems.

    Content

    Discrete and Continuous Time Signals, Sinusoidal Signals, Spectrum Representation, Sampling, FIR Filters, IIR Filters, Continuous-Time Systems, Frequency Response, Continuous-Time Fourier Transform, Z-Transform, Software Implementation of Signal Processing Concepts.

     

    Learning Outcomes

    Program Outcomes

    Teaching Methods

    Assessment Methods

    (1) Ability to understand discrete and continuous time signals.

    1,2,7

    1,3,6

    A,C

    (2) Ability to evaluate the spectrum representation of discrete time signals

    1,2,7

    1, 3, 6

    A,C

    (3) Ability to calculate the system responses.

    1,2,7

    1, 3, 6

    A,C

    (4) Ability to analyze the sound and image processing systems.

    1,2,3,4,9

    1, 3, 6, 9

    A,C,E

    (5) Ability to design a system using spectrum response.

    1,2,3,4,9

    1, 3, 6, 9

    A,C,E

     

    Teaching Methods:

     

    1: Lecture, 2: Problem Solving, 3: Simulation, 4: Seminar, 5: Interdisciplinary group working, 6: Laboratory, 7: Term research paper, 8: Guest Speaker, 9: Sample Project Review

    Assessment Methods:

    A: Exam, B: Quiz, C: Experiment, D: Homework, E: Project

     

     

    COURSE CONTENT

    Week

    Topics

    Study Materials

    1

    Introduction, complex numbers, sinusoidals

    Course book

    2

    Spectrum representation

    Course book

    3

    Spectrum representation

    Course book

    4

    Sampling

    Course book

    5

    Midterm I

    Course book

    6

    FIR filters

    Course book

    7

    FIR filters

    Course book

    8

    Z-transform

    Course book

    9

    Continuous time signals and LTI systems

    Course book

    10

    Midterm II

    Course book

    11

    Frequency response of FIR filters

    Course book

    12

    Frequency response of continuous time systems

    Course book

    13

    Continuous time Fourier transform

    Course book

    14

    Continuous time Fourier transform

    Course book

     

    RECOMMENDED SOURCES

    Textbook

    Signal Processing First; J. H. McClelland, R. W. Schafer, M. A. Yoder; Prentice Hall Inc.; ISBN: 0130909998

    Additional Resources

    Signals and Systems; A. V. Oppenheim, A. S. Willsky, with S. H. Nawab; Prentice Hall Inc.; Second Edition; ISBN: 0138147574

     

    MATERIAL SHARING

    Documents

    Laboratory experiment sheets

    Assignments

    Exams

     

    ASSESSMENT

    IN-TERM STUDIES

    NUMBER

    PERCENTAGE

    Midterm

    2

    54

    Laboratory + Project

    11

    46

    Total

     

    100

    CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE

     

    35

    CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE

     

    65

    Total

     

    100

     

    COURSE CATEGORY

    Expertise/Field Courses

     

    COURSE'S CONTRIBUTION TO PROGRAM

    No

    Program Learning Outcomes

    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 information in these areas to model and solve engineering problems.

    X

    2

    Ability to identify, formulate, and solve Electrical and Electronics 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.

    X

    4

    Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.

    X

    5

    Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems

    6

    Ability to access information; For this purpose ability to perform database searching and conduct literature review.

    7

    Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.

    X

    8

    Ability to communicate effectively both orally and in writing; knowledge of a minimum of one foreign language.

    9

    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.

    x

    10

    Awareness of professional and ethical responsibility.

    11

    Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.

    12

    Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

     

     

     

     

     

     

     

    ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

    Activities

    Quantity

    Duration (Hour)

    Total Workload (Hour)

    Course Duration

    14

    3

    42

    Hours for off-the-classroom study (Pre-study, practice)

    14

    7

    98

    Mid-terms

    2

    2

    4

    Laboratory

    11

    2

    22

    Final examination

    1

    4

    4

    Total Work Load

    170

    Total Work Load / 25 (h)

    7

    ECTS Credit of the Course

    7

     

  • Syllabus
  • Course Outline:

    Discrete and Continuous Time Signals, Sinusoidal Signals, Spectrum Representation, Sampling, FIR Filters, IIR Filters, Continuous-Time Systems, Frequency Response, Continuous-Time Fourier Transform, Z-Transform, Software Implementation of Signal Processing Concepts.