CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Advanced Signal Processing EEM531 FALL-SPRING 3+0 E 6
    Learning Outcomes
    1-Identifies the signal processing workspace
    2-Applies different methods of signal processing
    3-Describes basic transformations
    4-Designs basic filters
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14342
    Assignments0000
    Short-Term Exams (exam + preparation) 105840
    Midterm exams (exam + preparation)3011313
    Project2013030
    Laboratory 0000
    Final exam (exam + preparation) 4011313
    0000
    Total Workload (hours)   180
    Total Workload (hours) / 30 (s)     6 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 Sign Processing: Introduction R1-Chapter-1
    2 Discrete time signals and systems I R1-Chapter-2
    3 Discrete time signals and systems II R1-Chapter-3
    4 Discrete-time Fourier Transform R1-Chapter-4
    5 Sampling, Fast Fourier Transform, System Transfer Function I R1-Chapter-5
    6 Sampling, Fast Fourier Transform, System Transfer Function II R1-Chapter-6
    7 Z transform and applications I R1-Chapter-7
    8 Z transform and applications II R2-Chapter-1
    9 Digital Filter Design I R2-Chapter-2
    10 Digital Filter Design II R2-Chapter-3
    11 FIR and IIR Filter Design I R2-Chapter-4
    12 FIR and IIR Filter Design II R2-Chapter-5
    13 Semester project presentations I R2-Chapter-6
    14 Semester project presentations II R2-Chapter-7
    Prerequisites -
    Language of Instruction Turkish
    Responsible Asst. Prof. Dr. Seda Şahin
    Instructors

    1-)Doktor Öğretim Üyesi Seda Şahin

    Assistants -
    Resources R1-Oppenheim A. V. & Ronald W. Schafer. (1999). Discrete-Time Signal Processing (1st Edition), Prentice-Hall, USA. R2-Mitra S. K. (1999). Digital Signal Processing Laboratory Using Matlab (1st Edition), McGraw-Hill, USA.
    Supplementary Book -
    Goals Signal processing is solving problems by using different signal processing methods for different applications of work area and increasing ability of application development in the process of solving these problems
    Content Discrete-time signals and systems, Discrete-time Fourier transform, Z-transform and applications, Digital filter design, FIR and IIR filter design
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Acquires information by carrying out scientific research in the field of Electrical and Electronics Engineering, evaluates the findings and makes comments -
    2 Complements the restricted or incomplete information and applies it, unifies the multidisciplinary information -
    3 Designs and implements a system meeting the requirements in the field of Electrical and Electronics Engineering 3
    4 Makes an interpretation of a problem in the field of Electrical and Electronics Engineering, develops models for solutions and applies innovative methods in these solutions 2
    5 Has comprehensive knowledge on the contemporary applied method and techniques used in the field of Electrical and Electronics Engineering and their limitations -
    6 Undertakes and implements analytic, simulation or experimental types of research and has the ability to solve the complex problems encountered there -
    7 Can participate and assume responsibility in multidisciplinary task forces 3
    8 Observes the scientific, professional and ethical rules during data collection, its introduction and interpretation -
    9 Be aware of recent advances and developments in the field of Electrical and Electronics Engineering, learns, analyses and applies them wherever needed -
    10 Publishes his/her research findings verbally and in written forms in national and international arena 2
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