Courses

EECS2020 Signals and Systems 訊號與系統
"Signals and Systems" is a fundamental course to the study of many fields that constitute the discipline of electrical engineering, such as signal processing, communications, circuit design, and control. In this course, we will describe various analysis methods along with some practical examples for continuous-time/discrete-time deterministic signals and linear time-invariant systems, including convolution, Fourier series, Fourier transform, Laplace transform, z-transform operations, and so on.

Textbook/References:
1. Alan V. Oppenheim and Alan S. Willsky, with S. Hamid Nawab, Signals and Systems, 2nd Ed., Pearson Education Limited, 2014 (or Prentice-Hall, 1997; or 2nd Adapted Ed. with Adaptor Jian-Jiun Ding, Pearson Education Taiwan and Eurasia Book Co., 2016)


EE2310 Introduction to Programming 計算機程式設計
This is an introductory course for programming in C/C++ language.We will cover basics (e.g., basic data type, conditioning, looping) and detail some more advanced topics (e.g., array and pointer, function, file I/O, memory usage) in C/C++. Emphases will focus on "Learning by doing", and "Good programming practices". Useful C++ routines and the concept of object-oriented programming will also be covered.

Textbook/References:
S. Prata, “C Primer Plus,” 5th ed., Sams Publishing, 2005.


EE3660 Introduction to Digital Signal Processing 數位訊號處理概論
This course introduces the concept and applications of discrete-time/digital signal processing. Concepts including sampling and aliasing, discrete-time Fourier transform, z-Transform, FIR/IIR filter design, and DSP algorithms will be covered in this course. Multimedia, biomedical, and other applications will be discussed whenever appropriate so as to strengthen students' intuition.

Textbook/References:
1. D. G. Manolakis and V. K. Ingle, “Applied Digital Signal Processing,” Cambridge University Press, 2011.
2. A. V. Oppenheim and R. W. Schafer, “Discrete-Time Signal Processing,” 3rd ed., Prentice Hall, 2009.
3. R. G. Lyons, “Understanding Digital Signal Processing,” 3rded., Prentice Hall, 2010.
4. S. W. Smith, “The Scientist and Engineer’s Guide to Digital Signal Processing,” 2nded., California Technical Publishing, 1999.


EE4410 Introduction to Biomedical Imaging 生醫影像導論
This is an introductory course of biomedical “imaging” (i.e., design a camera for taking pictures of bio-stuff) with emphasis on the EE, signals and systems aspects. It will cover the most important imaging modalities - projection radiography, x-ray computed tomography, nuclear medicine imaging, ultrasound imaging, and magnetic resonance imaging. Basic principles, instrumentation, image characteristics, clinical applications, and recent progress of these imaging modalities will be discussed. The students will also learn how to apply the knowledge taught in the course "Signals and Systems" to biomedical imaging.

Textbook/References:
1. P. Suetens, “Fundamentals of Medical Imaging,” Cambridge University Press, 2002
2. J. L. Prince, and J. Links, “Medical Imaging Signals and Systems,” Prentice Hall, 2005.
3. J. P. Hornak, “The Basics of MRI,” (on-line book)


EE6265 Principles of Biomedical Ultrasound and Photoacoustics 生醫光聲原理
Introduce basic principles of biomedical ultrasound imaging systems including conventional ultrasound and photoacoustics – an emerging and promising ultrasound-mediated biophotonic imaging modality. Collateral comparisons between these two imaging modalities (ultrasound versus optics) are included for each lecture topic. Clinical applications, system design considerations, related signal processing and recent progress will be discussed. Fundamentals in tissue optics will be also introduced.

Textbook/References:
1. Thomas L. Szabo, “Diagnostic Ultrasound Imaging: Inside Out,” Elsevier Academic Press, 2004.
2. Lihong V.Wang, and H.-I.Wu, “Biomedical Optics: Principles and Imaging,” Wiley-Interscience, 2007.