3. 강의목표
Biomedical Systems and Signal Processing course provides a comprehensive treatment of signals and linear systems. Students will learn the fundamentals of signals and systems, including classification and representation, linear time invariant (LTI) systems, time domain analysis, Fourier series, Fourier transforms, Laplace transforms, Z transforms, random signals, and noise. All the principles are interpreted by carefully chosen practical examples and analogies. Communication systems, digital filters, medical imaging, and other biomedical examples are studied with MATLAB codes. Interpretations and analyses about biomedical systems such as cardiovascular systems, respiratory systems, hemodynamics, and biomedical instrumentations (ultrasound, electrocardiogram, neuromodulation, and others) are included.
4. 강의선수/수강필수사항
Calculus, Differential Equations, Engineering Mathematics
MATLAB (recommended)
5. 성적평가
| 중간고사 |
기말고사 |
출석 |
과제 |
프로젝트 |
발표/토론 |
실험/실습 |
퀴즈 |
기타 |
계 |
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| 비고 |
Homework 25%
Participation 5%
Midterm 30%
Final 40%
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6. 강의교재
| 도서명 |
저자명 |
출판사 |
출판년도 |
ISBN |
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Linear Systems and Signals (2nd Edition)
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Lathi
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Oxford University Press
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2004
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978-0195158335
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8. 강의진도계획
Introduction
Signals and systems: classification and representation, linear time invariant (LTI) systems
Time domain analysis: convolution, impulse functions
Fourier series, Fourier transforms, discrete Fourier transforms, sampling
Laplace transforms, Z transforms
Filtering
Random signals, noise
*Detailed schedule will be provided at the first class.
9. 수업운영
Pre-recorded lectures and online/offline live classes
11. 장애학생에 대한 학습지원 사항
- 수강 관련: 문자 통역(청각), 교과목 보조(발달), 노트필기(전 유형) 등
- 시험 관련: 시험시간 연장(필요시 전 유형), 시험지 확대 복사(시각) 등
- 기타 추가 요청사항 발생 시 장애학생지원센터(279-2434)로 요청