信息融合(Information Fusion)技术是信息科学领域的一项高新技术。信息科学是研究信息的获取、传输与处理的基本方法、技术和手段，以及信息的表示、内在联系和运动规律的科学。信息融合技术则是对多种信息的获取、传输与处理的基本方法、技术和手段，以及信息的表示、内在联系和运动规律进行研究的技术。信息融合技术的理论和技术涉及了信息科学中的电子信息学、计算机科学和自动化等三个学科，是新一代智能信息技术的核心基础之一。本课程主要介绍信息融合技术的基本原理和方法。以数据层的滤波与估计以及决策层的符号处理与融合为主线，讲述各种不确定性信息的融合方法。博士生的内容主要以非线性估计、条件事件代数和随机集理论为基础，研究异类异构信息的融合。该课程注重理论与实践相结合：既详细介绍融合方法，又从理论深度加以解释。该课程注重现有成果与最新研究相结合：各专题都自成体系，授课内容中的时间跨度广，文献阅读量比较大，包括最新的研究动态以及我们自己的研究内容。本课程注重体现教学相辅原则：授课方式以教师课堂讲授为主，以学生自学讨论为辅，师生互动。在课程安排上，硕士生为36学时，博士生为54学时（前36个学时的内容与硕士一致，后18学时加深拓宽）。通过该课程的学习，希望学生不仅能够掌握信息融合的基本原理和方法，亦能够提高独立进行科学研究的能力。

Information fusion technology is one of the advanced information technologies. It is well known that the research fields of information sciences include the basic methods, technologies and means about the acquisition, transmission and processing of information. Information sciences also include the representation, the inner relation and working mechanism of information. Similarly, the research fields of information fusion technology includes the basic methods, technologies and means about the acquisition, transmission and processing of multisource information. Information fusion technology also includes the representation, the inner relation and working mechanism of multisource information. Information fusion technology has some relations with three other subjects, namely, electronics, computer sciences and automation. Information fusion technology is one of the basic core of intelligent information technology.The course aims to the introduction of the basic theory and methods of information fusion. Based on the filter and estimation at data lever and the character processing and fusion at decision lever, we will detail how to realize uncertain information fusion of different kinds. The deep context of doctor candidate includes the nonlinear filter, conditional event algebra and random sets theory, which are the most advanced research schools of information fusion. The course pays attention to the harmony of theory and practice: we not only introduce the information fusion methods, but also interpret them from the point of concrete theory. The course pays attention to the harmony of existing production with the advanced research: a lot of papers and other references, whose context come from many different fields, are discussed in the course. The course pays attention to the rule of reciprocity between teaching and studying: topic discussion in class is also the way in our teaching. On the assignments of course, there are 36 periods for master and there are 54 periods for doctor (the former 36 periods of doctor are the same as that of master). After finishing the course, we hope that the students will not only grasp the basic theory and methods of information fusion, but also can improve their ability to do research independently.