【本课程为爱课程(中国大学MOOC)首页推荐课程!】
【本课程第三章第十节获得2019年全国生命科学类微课教学比赛二等奖!】
计算机信息科学与技术的应用已经深入到人们工作、生活的每一个细节。今天可以说每个人都离不开智能手机和大数据。其实,智能手机和大数据完全是计算机科学与其它学科交叉发展所致。在此情况下,学习计算机科学相关专业的学生将来就业或深造的方向将不是单纯的计算机科学与技术,而是越来越多的与其他领域交叉的方向。另一方面,生命科学的发展始终是全人类发展的核心动力之一,关注生命科学就是关注我们自身的生命。四十多年以前,生命科学开始与计算机结缘交叉,之后生命科学进入了迅猛发展的阶段。直至2003年国际人类基因组计划完成、2015年美国精准医学计划的开始、2017年党的十九大把大健康产业上升为国家战略,这些重要的里程碑无一不是生命科学与计算机科学交叉互利的结晶。比尔盖茨和马云都曾预言,未来的世界首富将出自生物技术产业或健康产业。在此背景下,面向全体国民的素质教育通选课《生命科学与数码革命》应运而生!无论你是哪个专业方向的学生或技术人员,你至少要具备基本的生命科学知识和基本的网络信息学知识,只有这样你才有机会在新时代里大展宏图,起码可以减少受到谣言的欺骗。(有木有发现,网络谣言横行,特别青睐生命健康的话题。)
本课程由网红级国家精品开放在线课程《生物信息学》团队历时8年积累制作完成,投资巨大,动画视频课时超过50%,深入医院、药厂、养殖场、博物馆、农田、大数据中心、高校科研院所实验室、基因测序机构、3D打印企业等等实景拍摄20余处,受邀讲解专家30余人(“砖海战术”)。课程内容涉及到计算机信息科学与植物、农业、动物、微生物、医药、健康、历史文化等等领域的交叉应用案例。本课程旨在提升全民科学素养、培养学生及专业技术人员跨学科思考问题解决问题的习惯及能力。全网无同类课程。
除主讲教师以外,本课程团队还包括技术顾问1位周汉(山东大学继续教育学院编审)和技术支持兼助教2位卢伟(山东大学继续教育学院工程师)、丁鼎(山东电视台编导)。
Course Overview
【This course is the recommended course on the homepage of the iCourse (China University MOOC)!】
【The tenth section of the third chapter of this course won the second prize of the 2019 National Life Science Micro-Class Teaching Competition!】
The application of computer information science and technology has penetrated into every corner of people’s work and life. We can say today that everyone cannot live without smart phones and big data. In fact, smart phones and big data were born due to the intersecting development of computer science and other disciplines. Under this circumstance, the future work or further study of computer science-related majors will not be purely computer science and technology, but overlap more with other fields. On the other hand, the development of life sciences has always been one of the core driving forces for the development of all mankind. To pay attention to life sciences is to pay attention to our own lives. More than 40 years ago, life sciences began to intersect with computers, and then life sciences entered a stage of rapid development. Until the completion of the International Human Genome Project in 2003, the beginning of the U.S. Precision Medicine Project in 2015, and the 19th National Congress of the Communist Party of China in 2017, the health industry was elevated to a national strategy. These important milestones are the consummation of the great combination of life science and computer science. Bill Gates and Jack Ma both predicted that the world's richest man in the future will come from the biotechnology industry or the health industry. In this context, the general elective course Life Science and Digital Revolutionfor all citizens came into being! No matter which field you study in as a student or technician, you must at least have basic knowledge of life sciences and network informatics. Only in this way can you have the opportunity to develop your ambitions in the new era and at least reduce the deception of rumors. (Have you noticed thatthe rampage of Internet rumors favors the topic of life and health.)
This course was produced by the Internet celebrity --- national level MOOCs Bioinformatics team which has accumulated and produced for 8 years. The investment is huge. The animation video class time exceeds 50%. It goes deep into hospitals, pharmaceutical factories, farms, museums, farmland, big data centers, university scientific research institutes, laboratories, gene sequencing institutions, 3D printing companies, etc. More than 20 live shooting locations, and more than 30 experts were invited to give lectures (specialize in bricks). The course covers application cases in the fields of computer information science and plants, agriculture, animals, microorganisms, medicine, health, history and culture. This course aims to improve the scientific literacy of the whole people, and cultivate the habit and ability of interdisciplinary thinking and problem-solving of students and professional and technical personnel. There are no similar courseson the whole network.
In addition to the main lecturer, the course team also includes a technical consultant Zhou Han (an editor from School of Continuing Education of Shandong University) and two technical support and teaching assistants Lu Wei (an engineer from School of Continuing Education of Shandong University ) and Ding Ding (a director from Shandong TV Station).
#致谢#
#Acknowledgements#
本课程得到了以下单位及个人的大力支持,在此表示衷心的感谢!
This course has received strong support from the following units and individuals, and I would like to express my heartfelt thanks!
中国科学院微生物研究所 王军、宋磊、韩培杰、赵鹏、赵明君
Wang Jun, Song Lei, Han Peijie, Zhao Peng, Zhao Mingjun, Institute of Microbiology, Chinese Academy of Sciences
中国科学院北京生命科学研究院 侯玲玲、张金阳
Hou Lingling, Zhang Jinyang, Beijing Institute of Biological Sciences, Chinese Academy of Sciences
中国科学院植物研究所 郭庆华、马克平
Guo Qinghua, Ma Keping, Institute of Botany, Chinese Academy of Sciences
山东省立医院 周亮
Zhou Liang, Shandong Provincial Hospital
山东大学齐鲁医院 赵华强
Zhao Huaqiang, Qilu Hospital of Shandong University
山东大学口腔医院 郭杰
Guo Jie, Stomatological Hospital of Shandong University
山东大学校电视台 张益凤
Zhang Yifeng, TV Station of Shandong University
山东博物馆 徐波
Xu Bo, Shandong Museum
山西农业大学 李清宏
Li Qinghong, Shanxi Agricultural University
中山大学 方积乾
Fang Jigan, Sun Yat-sen University
济南市中心医院 张克新
Zhang Kexin, Jinan Central Hospital
青岛博瑞科三维制造有限公司 周晓宾
Zhou Xiaobin, Qingdao Breuck 3D Manufacturing Co., Ltd.
青岛极泰动保生物科技有限公司 陈宗涛、侯家麒
Chen Zongtao, Hou Jiaqi, Qingdao Jitai Animal Protection Biotechnology Co., Ltd.
山东世博动漫产业集团 王振华、王永超
Wang Zhenhua, Wang Yongchao, Shandong World Shibo Animation Industry Group
山东数字人科技股份有限公司 刘文荟、蒋鑫、蒋弈、汪晨晨
Liu Wenhui, Jiang Xin, Jiang Yi, Wang Chenchen, Shandong Digital HumanTechnology Co., Ltd.
科大讯飞股份有限公司 秦燕
Qin Yan, IFlytek Co., Ltd.
山东易华录信息技术有限公司 孙嘉君
Sun Jiajun, Shandong Yihualu Information Technology Co., Ltd.
青岛田瑞牧业科技有限公司 盖晓琴
Gai Xiaoqin, Qingdao Tianrui Animal Husbandry Technology Co., Ltd.
潍坊宇洋药业有限公司 方文军、刘树栋、于龙、杜鹏
Fang Wenjun, Liu Shudong, Yu Long, Du Peng, Weifang Yuyang Pharmaceutical Co., Ltd.
北京元码基因科技股份有限公司 王亚丁、于恩超
Wang Yading, Yu Enchao, Beijing Geneis Gene Technology Co., Ltd.
山东圣农畜牧养殖基地 郭怀顺
Guo Huaishun, Shandong Sunner Livestock Breeding Base
筑医台咨询
online media for medical consultation
狂丸科学
Kuang Wan Science(Wechat public account)