请选择 进入手机版 | 继续访问电脑版

tag 标签: English经管大学堂:名校名师名课

相关帖子

版块 作者 回复/查看 最后发表
The Hollywood Reporter - April 24, 2019 | 好莱坞报道 - 电影界权威杂志【True PDF 外语学习 richartleo 2019-4-26 1 1065 wzjwzj181 2019-4-27 17:22:46
在美国大学学习的技巧 attachment 院校申请 GGOD 2013-1-29 8 2726 Jtiger9 2018-12-26 11:31:47
【2013新书】真正简单的经济学Reasonably simple economics attachment 微观经济学 saintsophia 2013-6-27 84 12166 ekscheng 2017-2-21 10:00:33
美语思维学习法大分享 新手入门区 free7apa 2013-7-24 6 3404 thirstar 2017-1-14 17:58:56
FOR FREE: good book for English study attachment 外语学习 leolee1986 2013-8-15 12 4102 wxslove 2016-4-5 16:40:48
【下载】2013美国喜剧《英语老师》高清1280X720/BD-MKV[中文字幕] 休闲灌水 Dream? 2013-6-6 5 5084 smartlife 2015-10-16 01:35:13
悬赏 求springer 电子书 English for Research: Usage, Style, and Grammar - [!reward_solved!] attachment R语言论坛 行者无名 2013-4-19 6 4839 notedown 2015-8-19 15:29:53
Project Knowledge Management Systematic Learning with the Project Comparison Tec attach_img 运营管理(物流与供应链管理) Toyotomi 2013-2-27 3 1834 kexinkeqing 2014-12-19 00:17:59
电子书共享:Making Sense of Data A Practical Guide to Exploratory Data Analysis attachment 计量经济学与统计软件 xinchuzu 2013-7-1 5 1852 Yoto0282 2014-7-7 22:55:05
2013年8月21日 voa special english 30mins 休闲灌水 xbwca 2013-9-7 0 853 xbwca 2013-9-7 20:24:20
2013年8月8日voa special english 30mins attachment 休闲灌水 xbwca 2013-9-7 0 2205 xbwca 2013-9-7 20:13:20
加急:sas 对行排序 SAS专版 hytc0095 2013-7-22 3 3036 oneoneagain 2013-8-22 19:24:59
【下载】2012加拿大动作《地球保卫战/为地球而战》高清1280/BD-RMVB[5.0分][中文字幕] 休闲灌水 Dream? 2013-6-19 1 3700 ye01 2013-7-19 09:53:03
IT公司售后服务技术工程师2名(管培生) 经管类求职与招聘 ringer911 2013-6-3 1 1373 luolxy 2013-6-29 15:46:15
悬赏 The role of parallel function in the acquisition of relative clauses in English - [悬赏 1 个论坛币] attachment 求助成功区 zgj1984411 2013-5-19 1 2487 Toyotomi 2013-5-19 17:15:42
book 《Financial Mathematics》 attachment 经济金融数学专区 娜sophia 2013-1-23 3 1551 yangwag 2013-4-28 17:06:53
悬赏 English paper 2 - [!reward_solved!] attachment 求助成功区 melody308 2012-8-22 3 1037 mssr 2013-3-24 21:28:37
悬赏 Business Process Modeling, Simulation and Design - [悬赏 10 个论坛币] 悬赏大厅 lkwokchu 2013-1-18 0 3088 lkwokchu 2013-1-18 13:37:07
悬赏 english paper 1 - [!reward_solved!] attachment 求助成功区 melody308 2012-8-22 3 860 jigesi 2012-8-22 21:11:51

相关日志

分享 English Vocabulary
accumulation 2015-12-31 02:23
1. 托福雅思——同反义增强,特别同义; 2. 硕博:定义、同义增强; 3. 理工定义强于举例,社科举例强于定义; 4. 构词法了解程度越深,语篇同义、反义越高; 5. 平均学习英语时间越长,同义、反义比例越高; 1. 英语学习程度 English : 1- 四级; 2- 六级; 3- 托福 GRE ; 4- 其它; 2. 学历 degree : 1- 本科; 2- 硕士; 3- 博士及以上; 3. 专业 speciality : 1- 理工科; 2- 社会科学; 3- 语言人文; 4. 对构词法的了解 formation : 1- 非常了解; 2- 比较了解; 3- 一般了解; 4- 几乎不了解; 5- 完全不了解; 5. 每周学习英语的时间 time : 1-10 小时以下; 2-10-20 小时; 3-20 小时以上; 6. 定义法 definition 7. 解释法 explanation 8. 举例法 example 9. 语篇同义法 synonymy 10. 语篇反义法 antonymy 11. 上下位关系法 hyponymy 12. 相关细节法 details : 1-7 表示排在 1-7 位, 1 有效性最高, 7 有效性最低;
个人分类: Reading|0 个评论
分享 English Reading
accumulation 2015-7-21 19:06
1. 细节理解题 9 45% 2. 推理判断题 6 30% 3. 主旨大意题 2 10% 4. 观点态度题 3 15% 干扰项: 第一层次: 1、无中生有; 2、正反混淆(与原文相反); 3、答非所问; 4、偷换概念; 第二层次: 1、过分绝对; 2、以偏概全; 3、扩大范围; 4、因果倒置; 5、强加因果; 6、常识判断; 7、推得过远; 8、偏离中心; 9、变换词性; 10、张冠李戴; 11、杂糅原文;
个人分类: 考研|0 个评论
分享 【2015新书】Teach English as a Foreign Language: Teach Yourself
kychan 2015-4-1 18:17
【2015新书】Teach English as a Foreign Language: Teach Yourself https://bbs.pinggu.org/thread-3641847-1-1.html 声明: 本资源仅供学术研究参考之用,发布者不负任何法律责任,敬请下载者支持购买正版。 提倡免费分享! 我发全部免费的,分文不收 来看看 ... 你也可关注我 https://bbs.pinggu.org/z_guanzhu.php?action=addfuid=3727866 请加入 【KYCHAN文库】 https://bbs.pinggu.org/forum.php?mod=collectionaction=viewctid=2819 【KYCHAN文库】 是kychan贡献上传的大量书籍, 用户免费下载 速度执行:立刻,现在,马上欢迎订阅 想要实时获取免费的书籍,请在我的头像下方点 "加关注" 哟!
个人分类: 【每日精华】|17 次阅读|1 个评论
分享 【2013】Writing and Publishing Science Research Papers in English
kychan 2015-3-13 09:44
【2013】Writing and Publishing Science Research Papers in English https://bbs.pinggu.org/thread-3610626-1-1.html 声明: 本资源仅供学术研究参考之用,发布者不负任何法律责任,敬请下载者支持购买正版。 提倡免费分享! 我发全部免费的,分文不收 来看看 ... 你也可关注我 https://bbs.pinggu.org/z_guanzhu.php?action=listattentionfuid=3727866
个人分类: 【每日精华】|20 次阅读|1 个评论
分享 【2011】Understanding English Grammar 9th
kychan 2015-3-9 08:41
【2011】Understanding English Grammar 9th https://bbs.pinggu.org/thread-3603108-1-1.html 声明: 本资源仅供学术研究参考之用,发布者不负任何法律责任,敬请下载者支持购买正版。 提倡免费分享! 我发全部免费的,分文不收 来看看 ... 你也可关注我 https://bbs.pinggu.org/z_guanzhu.php?action=listattentionfuid=3727866
个人分类: 【每日精华】|17 次阅读|1 个评论
分享 Modern Astronomy
accumulation 2015-3-8 22:48
Examination 15% - Class attendance and participation (note: the first, second and third lectures do not count) 35% - Homework (three assignments) 50% - Essay (or Research Project). Note that there is no final exam. The grade statistics of the 2014 class can be found here. Also, here you can find information about majors the students in the 2014 class. Homework Three homework assignments will be handed out during the lectures. The assignments should be written in English. English spelling and grammar mistakes are unimportant (this is not an English class), but of course the answers should be understandable. The homework should be handed in on time. Handing in the homework too late will result in a lower grade. You can choose if you want to hand in a hand-written assignment or a computer print-out. Each student should make the homework individually. Essay The essay should be written in English, and should be roughly 3000 words long, but it can be shorter or longer if you want (I will not count the number of words). You can choose the topic of your essay yourself. You are encouraged to to choose a topic in astronomy or space science that is related to your major. Instructions and examples are provided during the lectures. You should hand in your essay before or on (date to be decided) to Yunfeng Chen or Zhen Guo. Please also email me a copy of your essay. The essays should be written individually, and plagiarism (including self-plagiarism) is not allowed. Research Project Instead of an essay, you can also do a small research project related to astronomy. For example, you can write an computer simulation code to solve an astrophysical problem. The deadline for the research report is the same as for the essay. If you are interested, please come and talk to me first. You can come up with your own idea. Doing a research project can be quite complicated and it can cost a lot of time, but you might find interesting new results. The research projects can be carried out individually, or by a group of two students. Literature You do not need to buy books for this lecture course. However, for your homework, essay, and your general interest, the following books can be very useful. You can find many of these in the Peking University library. Here is a description of serveral useful books. There are many other good books available in the library, on the internet, and the bookstores; explore! 1. 现代天文学十五讲, 吴鑫基,温学诗, 北京大学出版社, 2005 2. 基础天文学, 刘学富, 高等教育出版社, 2004 3. 简明天文学教程(第二版), 余明, 科学出版社, 2007 4. 天文学教程(上), 胡中为、萧耐园, 高等教育出版社, 2003 5. 天文学教程(下), 朱慈墭, 高等教育出版社, 2003 6. 天体物理学, 李宗伟、肖兴华, 高等教育出版社, 2000 7. 天体物理导论, 徐仁新, 北京大学出版社, 2006 8. Modern Astrophysics, Carroll Ostlie, Addisson-Wesley, 1996 9. A brief history of time, Hawking, Bantam Dell Publishing, 1998
个人分类: 物理学|0 个评论
分享 【2012】Understanding English grammar : a linguistic introduction
kychan 2015-3-3 09:09
【2012】Understanding English grammar : a linguistic introduction https://bbs.pinggu.org/thread-3595260-1-1.html 声明: 本资源仅供学术研究参考之用,发布者不负任何法律责任,敬请下载者支持购买正版。 提倡免费分享! 我发全部免费的,分文不收 来看看 ... 你也可关注我 https://bbs.pinggu.org/z_guanzhu.php?action=listattentionfuid=3727866
个人分类: 【每日精华】|15 次阅读|1 个评论
分享 【2013】English for Research: Usage, Style, and Grammar
kychan 2015-3-1 00:51
【2013】English for Research: Usage, Style, and Grammar https://bbs.pinggu.org/thread-3593010-1-1.html 声明: 本资源仅供学术研究参考之用,发布者不负任何法律责任,敬请下载者支持购买正版。 提倡免费分享! 我发全部免费的,分文不收 来看看 ... 你也可关注我 https://bbs.pinggu.org/z_guanzhu.php?action=listattentionfuid=3727866
个人分类: 【每日精华】|17 次阅读|1 个评论
分享 【2015新书】A Functional Discourse Grammar for English
kychan 2015-2-16 17:42
【2015新书】A Functional Discourse Grammar for English https://bbs.pinggu.org/thread-3582847-1-1.html 声明: 本资源仅供学术研究参考之用,发布者不负任何法律责任,敬请下载者支持购买正版。 提倡免费分享! 我发全部免费的,分文不收 来看看 ... 你也可关注我 https://bbs.pinggu.org/z_guanzhu.php?action=listattentionfuid=3727866
个人分类: 【每日精华】|14 次阅读|1 个评论
分享 The Odds, Continually Updated
science21 2014-10-3 05:01
Statistics may not sound like the most heroic of pursuits. But if not for statisticians, a Long Island fisherman might have died in the Atlantic Ocean after falling off his boat early one morning last summer. The man owes his life to a once obscure field known as Bayesian statistics — a set of mathematical rules for using new data to continuously update beliefs or existing knowledge. The method was invented in the 18th century by an English Presbyterian minister named Thomas Bayes — by some accounts to calculate the probability of God’s existence. In this century, Bayesian statistics has grown vastly more useful because of the kind of advanced computing power that didn’t exist even 20 years ago. It is proving especially useful in approaching complex problems, including searches like the one the Coast Guard used in 2013 to find the missing fisherman , John Aldridge (though not, so far, in the hunt for Malaysia Airlines Flight 370). Now Bayesian statistics are rippling through everything from physics to cancer research, ecology to psychology. Enthusiasts say they are allowing scientists to solve problems that would have been considered impossible just 20 years ago. And lately, they have been thrust into an intense debate over the reliability of research results. Photo Thomas Bayes When people think of statistics, they may imagine lists of numbers — batting averages or life-insurance tables. But the current debate is about how scientists turn data into knowledge, evidence and predictions. Concern has been growing in recent years that some fields are not doing a very good job at this sort of inference. In 2012, for example, a team at the biotech company Amgen announced that they’d analyzed 53 cancer studies and found it could not replicate 47 of them . Similar follow-up analyses have cast doubt on so many findings in fields such as neuroscience and social science that researchers talk about a “replication crisis” Some statisticians and scientists are optimistic that Bayesian methods can improve the reliability of research by allowing scientists to crosscheck work done with the more traditional or “classical” approach, known as frequentist statistics. The two methods approach the same problems from different angles. The essence of the frequentist technique is to apply probability to data. If you suspect your friend has a weighted coin, for example, and you observe that it came up heads nine times out of 10, a frequentist would calculate the probability of getting such a result with an unweighted coin. The answer (about 1 percent) is not a direct measure of the probability that the coin is weighted; it’s a measure of how improbable the nine-in-10 result is — a piece of information that can be useful in investigating your suspicion. By contrast, Bayesian calculations go straight for the probability of the hypothesis, factoring in not just the data from the coin-toss experiment but any other relevant information — including whether you’ve previously seen your friend use a weighted coin. Continue reading the main story Scientists who have learned Bayesian statistics often marvel that it propels them through a different kind of scientific reasoning than they’d experienced using classical methods. “Statistics sounds like this dry, technical subject, but it draws on deep philosophical debates about the nature of reality,” said the Princeton University astrophysicist Edwin Turner, who has witnessed a widespread conversion to Bayesian thinking in his field over the last 15 years. Countering Pure Objectivity Frequentist statistics became the standard of the 20th century by promising just-the-facts objectivity, unsullied by beliefs or biases. In the 2003 statistics primer “Dicing With Death,”Stephen Senn traces the technique’s roots to 18th-century England, when a physician named John Arbuthnot set out to calculate the ratio of male to female births. Arbuthnot gathered christening records from 1629 to 1710 and found that in London, a few more boys were recorded every year. He then calculated the odds that such an 82-year run could occur simply by chance, and found that it was one in trillions. This frequentist calculation can’t tell them what’s causing the sex ratio to be skewed. Arbuthnot proposed that God skewed the birthrates to balance the higher mortality that had been observed among boys, but scientists today favor a biological explanation over a theological one. Later in the 1700s, the mathematician and astronomer Daniel Bernoulli used a similar technique to investigate the curious geometry of the solar system, in which planets orbit the sun in a flat, pancake-shaped plane. If the orbital angles were purely random — with Earth, say, at zero degrees, Venus at 45 and Mars at 90 — the solar system would look more like a sphere than a pancake. But Bernoulli calculated that all the planets known at the time orbited within seven degrees of the plane, known as the ecliptic. What were the odds of that? Bernoulli’s calculations put them at about one in 13 million. Today, this kind of number is called a p-value, the probability that an observed phenomenon or one more extreme could have occurred by chance. Results are usually considered “statistically significant” if the p-value is less than 5 percent. Photo The Coast Guard, guided by the statistical method of Thomas Bayes, was able to find the missing fisherman John Aldridge. Credit Daniel Shea But there’s a danger in this tradition, said Andrew Gelman, a statistics professor at Columbia. Even if scientists always did the calculations correctly — and they don’t, he argues — accepting everything with a p-value of 5 percent means that one in 20 “statistically significant” results are nothing but random noise. The proportion of wrong results published in prominent journals is probably even higher, he said, because such findings are often surprising and appealingly counterintuitive, said Dr. Gelman, an occasional contributor to Science Times. Looking at Other Factors Take, for instance, a study concluding that single women who were ovulating were 20 percent more likely to vote for President Obama in 2012 than those who were not. (In married women, the effect was reversed.) Continue reading the main story Dr. Gelman re-evaluated the study using Bayesian statistics. That allowed him to look at probability not simply as a matter of results and sample sizes, but in the light of other information that could affect those results. He factored in data showing that people rarely change their voting preference over an election cycle, let alone a menstrual cycle. When he did, the study’s statistical significance evaporated. (The paper’s lead author, Kristina M. Durante of the University of Texas, San Antonio, said she stood by the finding.) Dr. Gelman said the results would not have been considered statistically significant had the researchers used the frequentist method properly. He suggests using Bayesian calculations not necessarily to replace classical statistics but to flag spurious results. A famously counterintuitive puzzle that lends itself to a Bayesian approach is the Monty Hall problem , in which Mr. Hall, longtime host of the game show “Let’s Make a Deal,” hides a car behind one of three doors and a goat behind each of the other two. The contestant picks Door No. 1, but before opening it, Mr. Hall opens Door No. 2 to reveal a goat. Should the contestant stick with No. 1 or switch to No. 3, or does it matter? A Bayesian calculation would start with one-third odds that any given door hides the car, then update that knowledge with the new data: Door No. 2 had a goat. The odds that the contestant guessed right — that the car is behind No. 1 — remain one in three. Thus, the odds that she guessed wrong are two in three. And if she guessed wrong, the car must be behind Door No. 3. So she should indeed switch. In other fields, researchers are using Bayesian statistics to tackle problems of formidable complexity. The New York University astrophysicist David Hogg credits Bayesian statistics with narrowing down the age of the universe. As recently as the late 1990s, astronomers could say only that it was eight billion to 15 billion years; now, factoring in supernova explosions, the distribution of galaxies and patterns seen in radiation left over from the Big Bang, they have concluded with some confidence that the number is 13.8 billion years. Bayesian reasoning combined with advanced computing power has also revolutionized the search for planets orbiting distant stars, said Dr. Turner, the Princeton astrophysicist. In most cases, astronomers can’t see these planets; their light is drowned out by the much brighter stars they orbit. What the scientists can see are slight variations in starlight; from these glimmers, they can judge whether planets are passing in front of a star or causing it to wobble from their gravitational tug. Photo Andrew Gelman, a statistics professor at Columbia, says the Bayesian method is good for flagging erroneous conclusions. Credit Jingchen Liu Making matters more complicated, the size of the apparent wobbles depends on whether astronomers are observing a planet’s orbit edge-on or from some other angle. But by factoring in data from a growing list of known planets, the scientists can deduce the most probable properties of new planets. One downside of Bayesian statistics is that it requires prior information — and often scientists need to start with a guess or estimate. Assigning numbers to subjective judgments is “like fingernails on a chalkboard,” said physicist Kyle Cranmer, who helped develop a frequentist technique to identify the latest new subatomic particle — the Higgs boson . Continue reading the main story Continue reading the main story Continue reading the main story Others say that in confronting the so-called replication crisis, the best cure for misleading findings is not Bayesian statistics, but good frequentist ones. It was frequentist statistics that allowed people to uncover all the problems with irreproducible research in the first place, said Deborah Mayo, a philosopher of science at Virginia Tech. The technique was developed to distinguish real effects from chance, and to prevent scientists from fooling themselves. Uri Simonsohn, a psychologist at the University of Pennsylvania, agrees. Several years ago, he published a paper that exposed common statistical shenanigans in his field — logical leaps, unjustified conclusions, and various forms of unconscious and conscious cheating. He said he had looked into Bayesian statistics and concluded that if people misused or misunderstood one system, they would do just as badly with the other. Bayesian statistics, in short, can’t save us from bad science. At Times a Lifesaver Despite its 18th-century origins, the technique is only now beginning to reveal its power with the advent of 21st-century computing speed. Some historians say Bayes developed his technique to counter the philosopher David Hume’s contention that most so-called miracles were likely to be fakes or illusions. Bayes didn’t make much headway in that debate — at least not directly. But even Hume might have been impressed last year, when the Coast Guard used Bayesian statistics to search for Mr. Aldridge, its computers continually updating and narrowing down his most probable locations. The Coast Guard has been using Bayesian analysis since the 1970s. The approach lends itself well to problems like searches, which involve a single incident and many different kinds of relevant data, said Lawrence Stone, a statistician for Metron, a scientific consulting firm in Reston, Va., that works with the Coast Guard. At first, all the Coast Guard knew about the fisherman was that he fell off his boat sometime from 9 p.m. on July 24 to 6 the next morning. The sparse information went into a program called Sarops, for Search and Rescue Optimal Planning System. Over the next few hours, searchers added new information — on prevailing currents, places the search helicopters had already flown and some additional clues found by the boat’s captain. The system couldn’t deduce exactly where Mr. Aldridge was drifting, but with more information, it continued to narrow down the most promising places to search. Just before turning back to refuel, a searcher in a helicopter spotted a man clinging to two buoys he had tied together. He had been in the water for 12 hours; he was hypothermic and sunburned but alive. Even in the jaded 21st century, it was considered something of a miracle.
15 次阅读|0 个评论
分享 The first English Dairy
w936528 2014-9-20 02:32
Today I am doing my fixed income homework. Hope I can finish it within this weekend. Well, I have to. It is due on Monday.
14 次阅读|0 个评论
分享 How do you improve english?
uuuuuuuuuuuuuuu 2013-7-14 10:26
How do you improve english? do you have something that deserves sharing???
18 次阅读|1 个评论
分享 ESL English as a second language非母语英语课程
primmxz 2012-8-10 13:12
Coach Shane's ESL
28 次阅读|0 个评论
分享 Greetings =)
killahbeez 2012-7-19 06:07
Greetings =)
I am interested in making valued contributions to this community (pinggu.org), but I sometimes find it difficult to do so with the language barrier (I am an english speaker). To anyEnglishspeakers: Please inform me if I violate any guidelines. I appreciate any advice which will help me to become a better member (I aspire to be VIP or PHD status, in spite of the existing language barrier - I hope I am not being unrealistic). Furthermore, if anybody is willing to advise me on how to proactively become a better member, make better contributions, and earn more *forum currency*, experience, credit, academics, etc. - please contact me. I would appreciate it! Sincerely, Killahbeez
21 次阅读|0 个评论

京ICP备16021002-2号 京B2-20170662号 京公网安备 11010802022788号 论坛法律顾问:王进律师 知识产权保护声明   免责及隐私声明

GMT+8, 2024-3-29 00:20