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      FACULTY OF ENGINEERING

      Department of Genetics and Bioengineering

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      BME 403 | Course Introduction and Application Information

      Course Name
      Biomedical Signal Processing
      Code
      Semester
      Theory
      (hour/week)
      Application/Lab
      (hour/week)
      Local Credits
      ECTS
      BME 403
      FALL
      2
      2
      3
      5

      Prerequisites -
      Course Language English
      Course Type ELECTIVE_COURSE
      Course Level First Cycle
      Mode of Delivery Face-To-Face
      Teaching Methods and Techniques of the Course Presentation
      Problem Solving
      Experiments
      National Occupational Classification Code -
      Course Coordinator
      • Dr. Öğr. Üyesi Tannaz Akbarpour
      Course Lecturer(s)
      • Dr. Öğr. Üyesi Tannaz Akbarpour
      Assistant(s)
      • Araş. Gör. Duygu Geçkin
      Course Objectives The aim of this course is to provide students with the basic information required for processing medical signals and making them usable in applications.
      Learning Outcomes The students who succeeded in this course;
      Name Description PC Sub * Contribution Level
      1 2 3 4 5
      LO1 will be able to explain the mathematical principles of continuous and digital signal processing 1.5 X
      LO2 will be able to explain the principles of Fourier transform and multiresolution analysis 1.5 X
      LO3 will be able to apply basic classification algorithms on signals 4 X
      LO4 will be able to perform basic operations in signal filtering 2 X
      LO5 will be able to apply specific mathematical techniques to solve problems in the field of biomedical signals 3.2 X
      Course Description This course will introduce signal principles while looking at ways to describe them in the time and frequency domains. A full explanation of crucial medical signals, together with methods to define and evaluate them in computer-based systems, will be presented.
      Related Sustainable Development Goals
      -

       



      Course Category

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

       

      WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

      Week Subjects Required Materials Learning Outcome
      1 Introduction Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 1 LO1
      2 Fourier transform I Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 2 LO2
      3 Fourier transform II Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. Chapter 2 LO2
      4 Fourier transform III Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 3 LO2
      5 Wavelet transform-I Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 5 LO2
      6 Wavelet transform-II Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 5 LO2
      7 Classification Lecture notes LO3
      8 Midterm -
      9 Filtering Lecture notes LO4
      10 Electrocardiogram I Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 9 LO5
      11 Electrocardiogram II Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 9 LO5
      12 Electroencefalogram I Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 10 LO5
      13 Electroencefalogram II Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 10 LO5
      14 Electromyogram I Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 11 LO5
      15 Electromyogram II Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435 Chapter 11 LO5
      16 Final Exam -

       

      Course Notes/Textbooks Najarian K. & Splinter R. (2012). Biomedical signal and image processing. Taylor & Francis. ISBN:9780429120435
      Suggested Readings/Materials -

       

      EVALUATION SYSTEM

      Semester Activities Number Weighting LO1 LO2 LO3 LO4 LO5
      Laboratory / Application 1 30 X X X
      Homework / Assignments 1 10 X
      Presentation / Jury 1 10 X
      Midterm 1 20 X X X
      Final Exam 1 30 X X X X
      Total 5 100

       

      ECTS / WORKLOAD TABLE

      Semester Activities Number Duration (Hours) Workload
      Participation - - -
      Theoretical Course Hours 16 2 32
      Laboratory / Application Hours 16 2 32
      Study Hours Out of Class 14 2 28
      Field Work - - -
      Quizzes / Studio Critiques - - -
      Portfolio - - -
      Homework / Assignments 1 24 24
      Presentation / Jury - - -
      Project - - -
      Seminar / Workshop - - -
      Oral Exams - - -
      Midterms 1 12 12
      Final Exam 1 22 22
          Total 150

       

      COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

      # PC Sub Program Competencies/Outcomes * Contribution Level
      1 2 3 4 5
      1

      Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.

      1

      Mathematics

      2

      Science

      3

      Basic Engineering

      4

      Computation

      5

      related engineering discipline-specific topics

      LO1 LO2
      6

      the ability to apply this knowledge to solve complex engineering problems.

      2

      Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.

      LO4
      3

      Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

      1

      Ability to design creative solutions to complex engineering problems.

      2

      Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

      LO5
      4

      Use of Techniques and Tools: Ability to select and use appropriate tectıniques, resources, and modern engineering and computing tools. including estimation and modeling. far the analysis and solution of complex engineering problems while recognizing their limitations.

      LO3
      5

      Research and ınvestigation: Ability to use research methods ta investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.

      1

      Literature research far the study of complex engineering problems

      2

      Designing experiments

      3

      Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results

      6

      Global lmpact of Engineering Practices: Knowledge of the impacts of engineering practices on s.ociety, health and safety. ttıe economy, sustainability and the environment \ıVlthin the context of the UN Sustainable Development GoaJs; awareness of the legal implications of engineering solutions.

      1

      Knowledge of ttıe impacts of engineering practices on society, health and safety, economy, su.stainability and the environment, within the context of the UN Sustainable Development Goals.

      2

      Awareness of the legal implications of engineering solutions

      7

      Ethical Behavlor: Acting in accordance with the principles of the engineering profession. knowledge about ethical ,esponsibility; awareness of being impartial. without discrimination, and being inclusive of diversity.

      1

      Acting in accordance with engineering professional principles. information about ethical responsibility

      2

      Awareness of being impartial and indusive of diversity, without disaiminating on any subject.

      8

      lndividual and Teamwork: Ability to work effectively individually and as a team member or leader on interdis.ciplinary and multidisciplinary teams (face-to-face, remote or hybrid).

      1

      lndividually and within the discipline

      2

      Ability to work effectivefy as a team member or leader in mutti-disciplinary teams (face-to-face, remote or hybrid)

      9

      Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.

      1

      Verbal

      2

      Ability to communicate effectively in writing.

      10

      Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

      1

      Knowledge of business practices such as project management and economic feasibility analysis;

      2

      Awareness of entrepreneurship and innovation.

      11

      Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies. and thinking questioningly about tedınological changes

      *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest


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