"Signals and Systems" is a core foundational course for electronic information-related majors, aimed at explaining the time-domain and frequency-domain analysis methods for deterministic signals, as well as the fundamental characteristics and analytical approaches of linear time-invariant systems.
This course holds significant engineering application value. Its theories serve as an essential foundation for subsequent courses such as digital signal processing, communication principles, and automatic control, with direct and extensive applications in fields like communications, image processing, speech recognition, and biomedical engineering. Through this course, students will establish a comprehensive knowledge framework for signal and system analysis, master fundamental analytical tools, and develop abstract thinking and the ability to solve complex engineering problems.
The course is primarily delivered through a blended online and offline approach. In line with the standards of a first-class course, it features recorded lectures, rich illustrations, Chinese subtitles, and thought-provoking questions. The course interface has been optimized with dynamic effects to create a more engaging presentation.
The course consists of 32 class hours and covers seven main chapters, with ideological and political elements organically integrated into the content. Leveraging the OBE concept, discovery-based learning, and self-directed learning guidance, the course skillfully utilizes the diverse nature of internet information to encourage students to engage in divergent, self-directed knowledge acquisition.
The teaching team for this course is highly qualified, comprising one professor with a Ph.D., two associate professors, and three lecturers, ensuring strong professional expertise.
