Schedule

大数据处理与深度学习

Big Data Processing and Deep Learning

授课教师：吕  娜

摘要：本课程以大数据处理和深度学习为主，讲述大数据处理、机器学习与数据挖掘的前沿研究内容以及相应研究进展。介绍大数据处理架构Hadoop平台，大数据处理典型方法Map-reduce；人工智能相关的机器学习基础，线性回归、逻辑回归和神经网络基础，监督学习和非监督学习的主要方法及其应用；讲述深度学习的目的、意义和具体方法，包括自编码器（auto-encoder）、受限玻尔兹曼机（Restricted Boltzmann Machines）、卷积神经网络（convolutional neural network）等；以google的深度学习应用研究和推荐系统应用等为例，介绍大数据与深度学习的具体应用。

Abstract: This course will introduce the methods and frontiers in big data processing and analysis, machine learning, deep learning and data mining. The representative big data processing platform Hadoop and the classic big data analysis mechanism Map-reduce will be introduced. The foundations of machine learning and artificial intelligence will be discussed, including linear regression, logistic regression, neural networks, other supervised learning and unsupervised learning methods. The concept and motivation of deep learning will be discussed. The breakthrough methods in deep learning, including auto Encoder, Restricted Boltzmann Machine, and Convolutional Neural Network will be introduced. Take the deep learning research in Google Inc. and recommendation system as examples, the applications of deep learning and big data analysis will be introduced.

大数据在无线网络上的挑战与应用

Big Data over Wireless Networks: Challenges and Applications

授课教师：杜清河

摘要：大数据技术为研究界注入了巨大的活力，工业环境，临床环境以及日常生活的各个方面的无线网络和通信领域也不例外。在未来无线网络中保证无处不在的接入和信息交换的需求将通过无线网络产生大量数据。未来的移动无线网络将基本上演变为高度智能和自主。 本讲座将概述如何应用大数据以实现更好的无线通信性能和体验的挑战和解决方案。本讲座还将分享进一步的研究方向和主题。

Abstract: Big data technologies have injected the vast amount of vigor to the research community, and there is no exception for the areas of wireless networking and communications in industrial environments, clinical environments, and in every aspects of our daily lives. The demand on assurance of ubiquitous access and information exchange in future wireless networks will yield massive data over wireless networks. The future mobile wireless networks will essentially evolve to be highly smart as well as autonomous. This lecture will overview the challenges and solutions on how big data can be applied towards better wireless communications performances and experiences. Further research directions and topics will be also shared in this lecture.

From Bench to Bed: the Miracle of Emily Whitehead

从实验室到临床——艾米莉的传奇

授课教师：成瀛

摘要：本课程将主要从一位患有前体B细胞急性白血病的儿童讲起，通过她的治病经历，讲述癌症的发病机制，通过结合传统常规治疗和最新的免疫治疗的原理和应用，讲述生物医学基础科研是如何与临床结合，从而治疗疾病的。该课程可以让学员浅显易懂地了解科研与临床应用间是如何相联系和相互促进，从而解决人类健康疾病问题的。

Abstract：The presentation is focused on the story of a child fighting with B precursor acute lymphoblastic leukemia. With her experience, the presentation will show the knowledge about classical treatments and the cutting-edge technology of immunotherapies. The students will generally know how the basic biomedical research and clinical application working together to treat the cancers, and improve human health.

基因表达调控

Regulation of Gene Expression

授课教师：丁  健

摘要：基因表达调控对于维持生命体的多样性、适应性和生存能力至关重要。 基因表达的精确时空调控使得细胞能够根据需要来正确的合成基因组编码的功能性产物。 广义上讲， 对基因表达的调控可以发生在基因水平、表观水平、 转录水平、 转录后水平、 翻译水平以及翻译后水平上，并且设计到蛋白质的折叠、转运、分子间相互作用、复合物组装和解体等细胞过程和分子事件。我们不仅探讨一些不同调控层次上的基本概念，而且还将总结近期的在基因表达调控领域的新的进展和发现。

Abstract: Gene regulation is very essential for all the organisms to embrace their versatility, adaptability and viability. Precise regulation of gene expression allows the cells to spatial–temporally generate the functional products, in response to different signal cues, from the information encoded by their genes in the proper ways.  In general, gene regulation occurs at genomic, epigenetic, transcription, post-transcription, translation and post-translation levels, and involves protein folding, transport, molecular interaction, complex assembly and disassembly, and other cellular processes and molecular events. We are going to not only discuss the general concepts, but in particular, also summarize the recent advances/discoveries in the field of gene regulation.

快速制造国家工程研究中心/陕西恒通智能机器有限公司

National Engineering Research Center of Rapid Manufacturing/ Shaanxi Hengtong Intelligent Machine Co., Ltd

快速制造国家工程研究中心是由国家发展和改革委员会批准设立的一个国家级的先进制造技术创新平台。工程中心以西安交通大学机械学院产业化实体陕西恒通智能机器有限公司为主，以强势企业和投资机构作为产业化和融资的基础，以提高国家制造业核心竞争力为目标，以市场需求为导向，以快速制造技术、工艺及成套装备的研究开发和产业化为根本任务，将充分发挥西安交通大学制造学科及其科研优势，为制造科学的进步和国民经济的快速发展贡献自己的力量。

National Engineering Research Center of Rapid Manufacturing is a national advanced manufacturing innovation platform established under the permission of National Development and Reform Commission. The main part of Research Center is Shaanxi Hengtong Intelligent Machine Co., Ltd, which is under the lead of School of Mechanical Engineering. Based on such tenet as Innovating, Creating excellence and elaboration, the Research Center forges ahead and develops consistently. By enhancing the investment of scientific research and service, the Research Center in committed to provide customers with better equipment and high-quality service.