The Massive Open Online Course (MOOC) "Information Theory," led by Beijing Institute of Technology, features renowned expert Professor Chien-Hung Yeh, who developed and recorded this course. We believe this course will help university students master information theory, along with its application methods and techniques in related fields, laying a solid foundation for future research and engineering applications.
This MOOC course has three outstanding characteristics:
First, the tight integration of theory and practice. Based on Shannon's information theory, the course reveals the nature and connotation of information, focusing on sources and channels to explore how to achieve effective and reliable information transmission. This combination of theory and practice not only helps learners understand the fundamental principles of information theory but also enables them to see the application of these theories in practical systems, thereby deepening their appreciation of the importance of information theory.
Second, interdisciplinary knowledge integration. The content covers fundamental principles of information theory, information-theoretic measures, channel capacity, coding techniques, and more. These topics not only pertain to information theory itself but also intersect with multiple disciplines including probability theory, stochastic processes, signal processing, and cryptography. Through this course, learners can acquire interdisciplinary knowledge, which holds significant value for students in solving complex problems in their future academic or professional careers.
Third, real-world application case studies. Through practical case analyses, learners can intuitively see the role of information theory in solving real-world problems. The course aims to enhance learners' ability to apply theoretical knowledge to practice, laying a solid foundation for their future application of information theory in their respective fields.
