课程基本情况 教学大纲

课程名称 信息论 / 信息论基础
课程编号
3112101960 / 3112100190
学分-学时
2 - 32
开课学期
5 / 6
必修/选修
必修
课程类别
专业基础课程
适用专业
通信、英才、双培多媒体、双培大数据
先修课程
概率论与数理统计
内容提要
本课程学习通信系统传输有效性和可靠性极限性能的基础理论及优化方法,支撑电子信息类(信息通信)培养方案中毕业要求的前两项。
作为电子信息类(信息通信)的一门学科专业基础课,本课程的教学目的是培养学生的基本专业素质,学会用概率论和随机过程建模、分析及优化通信系统极限性能的思路和方法,掌握现代通信与信息处理的理论基础。通过本课程的教学,使学生系统地掌握信息熵、平均互信息的基本概念,和无失真信源编码、有噪信道编码及限失真信源编码的理论和分析方法,为进一步学习后续专业课程,从事信息通信领域的理论研究和工程技术工作奠定理论基础。
Course Information Theory / Fundamentals of Information Theory
Course No.
3112101960 / 3112100190
Credit-Course Hours
2 - 32
Preparatory Course
Probability and Statistics
Course Description
Information theory employs Probability Theory and Stochastic Processes to achieve fundamental limits on data compression and transmission. This course establishes the conceptual framework of entropy, mutual information, channel capacity, information rate. By introducing three coding theorems of Shannon, it systematically explains how the performance of source or channel is measured by these concepts, and how coding is applied to source or channel for efficient compression or reliable transmission respectively. Its objective is to enhance the ability of students in applying fundamentals of information theory to solve the practical problems in the domains of communication and information processing.