<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:blogger='http://schemas.google.com/blogger/2008' xmlns:georss='http://www.georss.org/georss' xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-8436170757424317266</id><updated>2026-04-02T11:36:11.800+01:00</updated><title type='text'>ECTS points</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://ectspoints.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default?redirect=false'/><link rel='alternate' type='text/html' href='http://ectspoints.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>6</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-8436170757424317266.post-2809115118150608288</id><published>2020-04-08T08:01:00.002+01:00</published><updated>2020-04-08T08:01:33.689+01:00</updated><title type='text'></title><content type='html'>Models for the new country have been added:&lt;br /&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&quot;https://ectspoints.blogspot.com/p/sir-germany-model.html&quot; target=&quot;_blank&quot;&gt;Germany&lt;/a&gt;&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;https://ectspoints.blogspot.com/p/blog-page.html&quot; target=&quot;_blank&quot;&gt;France&lt;/a&gt;&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&amp;nbsp;For Germany, it looks like the country have passed an infection peak as the first in Europe&lt;br /&gt;
&lt;br /&gt;
&lt;img alt=&quot;&quot; height=&quot;380&quot; 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&quot; width=&quot;640&quot; /&gt;&lt;br /&gt;
Hope that in the next few days we could see this for other countries. </content><link rel='replies' type='application/atom+xml' href='http://ectspoints.blogspot.com/feeds/2809115118150608288/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ectspoints.blogspot.com/2020/04/models-for-new-country-have-been-added.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/2809115118150608288'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/2809115118150608288'/><link rel='alternate' type='text/html' href='http://ectspoints.blogspot.com/2020/04/models-for-new-country-have-been-added.html' title=''/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8436170757424317266.post-8873353556864551484</id><published>2020-03-25T20:22:00.003+00:00</published><updated>2020-03-25T20:22:39.851+00:00</updated><title type='text'></title><content type='html'>&lt;h2&gt;
USA model&lt;/h2&gt;
SIR model for the USA have been added. Data begin from 22/02/2020.&lt;br /&gt;
&lt;b&gt;Black dots&lt;/b&gt; - confirmed death data (base on the Johns Hopkins CSSE). This data is only lower limit of the recovered curve.</content><link rel='replies' type='application/atom+xml' href='http://ectspoints.blogspot.com/feeds/8873353556864551484/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ectspoints.blogspot.com/2020/03/usa-model-sir-model-for-usa-have-been.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/8873353556864551484'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/8873353556864551484'/><link rel='alternate' type='text/html' href='http://ectspoints.blogspot.com/2020/03/usa-model-sir-model-for-usa-have-been.html' title=''/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8436170757424317266.post-3747456950425944017</id><published>2020-03-22T21:16:00.001+00:00</published><updated>2020-03-22T21:16:57.234+00:00</updated><title type='text'></title><content type='html'>SIR model for the United Kingdom is now available.&lt;br /&gt;
Also new features have been added to help better understand the plots.</content><link rel='replies' type='application/atom+xml' href='http://ectspoints.blogspot.com/feeds/3747456950425944017/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ectspoints.blogspot.com/2020/03/sir-model-for-united-kingdom-is-now.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/3747456950425944017'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/3747456950425944017'/><link rel='alternate' type='text/html' href='http://ectspoints.blogspot.com/2020/03/sir-model-for-united-kingdom-is-now.html' title=''/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8436170757424317266.post-8487768518030174877</id><published>2020-03-18T09:51:00.003+00:00</published><updated>2020-03-18T09:51:55.733+00:00</updated><title type='text'>SIR model of the coronavirus epidemic.</title><content type='html'>There is an available simple epidemiological model that allows for everyone to try to simulate COVID-19 epidemic. It is called the SIR model without vital dynamics. The full information about the theory of the  SIR model you can find in &lt;a href=&quot;https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiologyhttp://&quot; target=&quot;_blank&quot;&gt;Wikipedia&lt;/a&gt;.&lt;br /&gt;
&lt;br /&gt;
Go to the &lt;b&gt;&lt;a href=&quot;https://ectspoints.blogspot.com/p/sir-model.html&quot; target=&quot;_blank&quot;&gt;SIR model&lt;/a&gt;&lt;/b&gt; page and choose the country form a list.&lt;br /&gt;
&lt;br /&gt;&lt;div style=&quot;background: transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;&quot;&gt;
&lt;span data-preserver-spaces=&quot;true&quot; style=&quot;background: transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;&quot;&gt;Initial parameters for fit are set only for the illustrative purpose.&amp;nbsp;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;background: transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;background: transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;&quot;&gt;
&lt;span data-preserver-spaces=&quot;true&quot; style=&quot;background: transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;&quot;&gt;Please remember that this is only&amp;nbsp;&lt;/span&gt;&lt;strong style=&quot;background: transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;&quot;&gt;&lt;span data-preserver-spaces=&quot;true&quot; style=&quot;background: transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;&quot;&gt;this model is simplified.&amp;nbsp;&lt;/span&gt;&lt;/strong&gt;&lt;span data-preserver-spaces=&quot;true&quot; style=&quot;background: transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;&quot;&gt;Interpretation of the fit is up to you, but you can share it or comment as you wish.&lt;/span&gt;&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://ectspoints.blogspot.com/feeds/8487768518030174877/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ectspoints.blogspot.com/2020/03/sir-model-of-coronavirus-epidemic.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/8487768518030174877'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/8487768518030174877'/><link rel='alternate' type='text/html' href='http://ectspoints.blogspot.com/2020/03/sir-model-of-coronavirus-epidemic.html' title='SIR model of the coronavirus epidemic.'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8436170757424317266.post-1019744325370436037</id><published>2011-07-22T12:52:00.000+01:00</published><updated>2011-07-22T12:52:30.810+01:00</updated><title type='text'>News in ECTS</title><content type='html'>At ECTS sheet You can find new calculator and spreadsheet to calculate Your ECTS Grade Average. Have a good fun.&amp;nbsp;</content><link rel='replies' type='application/atom+xml' href='http://ectspoints.blogspot.com/feeds/1019744325370436037/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ectspoints.blogspot.com/2011/07/news-in-ects.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/1019744325370436037'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/1019744325370436037'/><link rel='alternate' type='text/html' href='http://ectspoints.blogspot.com/2011/07/news-in-ects.html' title='News in ECTS'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8436170757424317266.post-1565842408794784714</id><published>2011-02-28T16:41:00.000+00:00</published><updated>2011-02-28T16:41:35.772+00:00</updated><title type='text'>For good start</title><content type='html'>If You ever interest how does your grades average is calculate? Or You want to go on Erasmus and don`t know where You have chance for good average and grades? For everyone how don`t known what is ECTS, how calculate average with ECTS points? Try this page with simple calculator.</content><link rel='replies' type='application/atom+xml' href='http://ectspoints.blogspot.com/feeds/1565842408794784714/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ectspoints.blogspot.com/2011/02/for-good-start.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/1565842408794784714'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8436170757424317266/posts/default/1565842408794784714'/><link rel='alternate' type='text/html' href='http://ectspoints.blogspot.com/2011/02/for-good-start.html' title='For good start'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry></feed>