科学计算可视化是当前计算机学科的一个重要研究方向，它主要研究如何把科学数据，例如通过计算或测量得到的数据，从卫星传送回来的图像，或是医学CT和MRI转换成可视的、能帮助人们理解的信息的计算方法。科学计算可视化技术在分子建模，医学图像，地球科学，空间探索，计算流体力学，有限元分析等方面有着广泛的应用。通过本课的学习，要求学生了解国内外科学计算可视化的研究背景，掌握可视化的基本概念和核心算法。主要的学习内容有：二维标量场等值线抽取算法；断层间表面重构算法；等值面生成和绘制算法；体绘制算法。学生在学习完本课程后，要求掌握以上的算法及实现方法，具备可视化编程及应用能力。

Visualization in Scientific Computing is now a main research direction of Computer Science. It mainly studies the computational methods for converting and exploiting visual information that is easy to be understood for engineering from scientific dada, for examples, measured data, data from computing result, image data from satellite, and medical data from CT and MRI. Visualization in scientific computing has wide spread applications in the fields of molecule modeling, medical image processing, geology science, space exploration, computational fluid dynamics, finite element analysis. Through this course, students are required to learn the research background of scientific data visualization in the world, and the main concepts and algorithms of visualization techniques. Main contents for study include contours extraction in 2D scalar field, surface reconstruction from sections, generation of contour surfaces and rendering algorithms, volume illumination model and volume rendering methods. After this course, students are required to understand the above concepts, algorithms and implementing methods, and have the ability for programming in applications.