Options for giving math talks and lectures online

栏目: IT技术 · 发布时间: 6年前

As part of social distancing efforts to slow down the spread of the novel coronavirus, several universities have now transitioned, or begun transitioning, to online teaching models.  (My home university of UCLA has not yet done so, but is certainly considering the option.)  As a consequence, I thought it might be an appropriate time to start a discussion on the pros and cons of various technologies for giving talks and lectures online, particularly in the context of mathematical talks where there may be special considerations coming for instance for the need to do mathematical computations on a blackboard or equivalent.  My own institution is for instance recommending the use of Zoom for lectures and Respondus for giving finals, and has a limited number of classrooms set up for high quality video and audio casting, as well as a platform for discussion forums and course materials for each class.  For smaller meetings, such as one-on-one meetings with graduate students, one can of course improvise using off-the-shelf tools such as Skype.  I would be interested in knowing what other options are available and what success lecturers have had with them.

The same goes for giving mathematical talks.  I learned recently (from Jordan Ellenberg) that Rachel Preis has recently launched a “ virtual math seminar on open conjectures in number theory in arithmetic geometry ” (VanTAGe) that is run using the BlueJeans platform.  And for many years there has been a regular joint math seminar between UC Berkeley, U. Paris-Nord, U. Zurich, and U. Bonn (see e.g., this calendar ), and nowadays many mathematical institutes stream their talks or at least videotape them to place them online later.  Our own department does not have a dedicated lecture hall for videocasting, so I would be interested in knowing of any successful ways to improvise such casting with more portable technology. (Skype in principle could work here, but I have found this to be clunky even for smaller meetings involving just a handful of partcipants.)


以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网

查看所有标签

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们

深度学习入门

深度学习入门

[ 日] 斋藤康毅 / 陆宇杰 / 人民邮电出版社 / 2018-7 / 59.00元

本书是深度学习真正意义上的入门书,深入浅出地剖析了深度学习的原理和相关技术。书中使用Python3,尽量不依赖外部库或工具,从基本的数学知识出发,带领读者从零创建一个经典的深度学习网络,使读者在此过程中逐步理解深度学习。书中不仅介绍了深度学习和神经网络的概念、特征等基础知识,对误差反向传播法、卷积神经网络等也有深入讲解,此外还介绍了深度学习相关的实用技巧,自动驾驶、图像生成、强化学习等方面的应用,......一起来看看 《深度学习入门》 这本书的介绍吧!

JSON 在线解析
JSON 在线解析

在线 JSON 格式化工具

URL 编码/解码
URL 编码/解码

URL 编码/解码

SHA 加密
SHA 加密

SHA 加密工具