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Based on electronics and information science, the graduate course Low-noise electronic De s i g n D e t e c t i o n o f S i g n a l i n N o i s e w i l l i n t r o d u c e i n t r i n s i c n o i s e g e n e r a t i o n m e c h a n i s m a n d t h e n o i s e i n a c t i v e d e v i c e s p r o v i d e a s t a n d a r d s e t o f n o i s e p a r a m e t e r s t h a t c a n b e u s e d t o a n a l y z e n o i s e i n v a r i o u s d e v i c e s . T h e c o u r s e w i l l a l s o p r e s e n t t h e f u n d a m e ntals of prevailing signal processing theories and methods, and will cover noise suppression and interference eliminating technique in the purpose of picking up and making measurement of low level signal from intensive background noise and interference. Many fundamentals of theories and technologies are involved in the practice of low-noise electronic design and detection of signal in noise. By making comprehensive use of distinct statistic characteristics of signal and noise, the low level signal detection technology is able to improve measurement resolution and accuracy greatly, and it is also a key measure to explore nature phenomenon, make discoveries and develop new technology. Low-level signal detection technology is widely used in physics, chemistry, biomedicine, remote sensing technique, material science and etc. By means of the concerned principle and method, many low level signals undetectable with traditional method, like weak florescence, nanometer-displacement, micro-vibration, small change of temperature for instance, can be measured. The contents of this course cover three aspects as follows, 1.Fundamentals of electric noise and low noise electronic design. Mainly introduce the statistic characteristics of random noise, intrinsic noise sources, noise models, low noise preamplifier and its parameters design, the methods of elimination or really avoidance of electromagnetic interference. 2.Typical low level signal detection method and instruments. Mainly analysis on the principles of correlation detection and its applications. 3.Low level signal detection and processing methods. Mainly introduce the fundamentals of some prevailing signal processing methods for rehabilitating signal from noise such as Wiener filter, matching filter, adaptive filter,and signal detection in chaos. 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