COURSEWORK GRANT: INTRODUCTION TO COMPUTATIONAL BIOLOGY, BI 4271, BI 4273

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 本课程是对计算生物学的实践介绍，概述了计算机的重要应用，以及解决生物学问题的数学模型。它适用于具有良好计算机编程经验，数学背景（特别是统计分析），生物和数学或生物和计算机背景的本科生。介绍性主题包括计算分子生物学（蛋白质和核酸序列分析）;生物建模和模拟（包括种群动力学，生化动力学，细胞通路，神经元行为和突变的计算机模型）和生物成像（数字图像处理，形态图像分析和图像分类）。 学生还将开发Perl，Java和/或Python的计算机编程技能，使用计算机解决真实的世界生物问题。他们还将探索在当前研究世界中使用纳米技术的不同方式。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This course is a hands-on introduction to Computational Biology, an overview of important applications of computers, and mathematical models to solve problems in biology. It is intended for undergraduate students with either good computer programming experience, mathematical background (especially statistical analysis), Biological and mathematical or biological and computer backgrounds. Introductory topics include computational molecular biology (analysis of protein and nucleic acid sequences); biological modeling and simulation (including computer models of population dynamics, biochemical kinetics, cell pathways, neuron behavior, and mutation) and biological imaging (digital image processing, morphological image analysis, and image classification). Students will also develop computer programming skills in Perl, Java and or Python, use computers to solve real world biological problems. They will also explore the different ways of employing Nanotechnology in current research world.