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Introduction
Overview
Information theory explores the fundamental limits of the representation and transmission of information. This course focuses on the definition and implications of entropy, mutual information, the source coding theorem, and the channel coding theorem; as well as their preliminary applications in artificial intelligence such as Kolmogorov complexity, minimum description length, and maximum entropy principle. These concepts provide a vital background for researchers in the areas of data compression, signal processing, controls, and pattern recognition.
Field of Study
Electrical Engineering
电气工程的研究和学习内容包括电能的产生、传输、分配、使用以及电工装备制造等。虽然在国外Electrical Engineering对应的是电子电气工程，但在我国习惯上将偏“强电”的电气工程与偏“弱电”电子工程分为两个专业方向，电子工程的研究和学习内容则包括集成电路、信息安全、通信系统、微电子以及图像信息处理等。
Related Field of Studies
Course Map
Prerequistie Courses
