BEGIN:VCALENDAR
PRODID:KHYS Karlsruhe House of Young Scientists
VERSION:2.0
X-WR-CALNAME:KHYS Karlsruhe House of Young Scientists
NAME:KHYS Karlsruhe House of Young Scientists
REFRESH-INTERVAL;VALUE=DURATION:PT12H
X-PUBLISHED-TTL:PT12H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
TZURL:http://tzurl.org/zoneinfo-outlook/Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID: 60752
DTSTAMP:20261105T215526Z
SUMMARY:Statistical Research Methods [E-LEARNING] 
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 
 3.2//EN"><HTML><HEAD><TITLE></TITLE></HEAD><BODY>Statistical Research 
 Methods [E-LEARNING] <br>e-learning<br><br><p><em>Statistical Research 
 Methods</em> provides comprehensive, cross-disciplinary support for 
 junior researchers who require a foundation or refresher in statistical 
 methods. With a pre-programme diagnostic tool, signposted material and a 
 modular format, the course supports researchers who want to evaluate and 
 interpret statistics. It addresses the current statistics context, 
 taking the interdisciplinary research environment into 
 consideration.</p><br><br><p> </p><br><br><p>The course includes the 
 following modules:</p><br><br><p> </p><br><br><ul><br>	<li>Utilise 
 statistics to enable and enhance your research</li><br>	<li>Storytelling 
 with data visualisation and exploratory analysis with descriptive 
 statistics</li><br>	<li>Probability distributions as approximating 
 models of reality</li><br>	<li>Sampling, estimation and generalisation 
 of results</li><br>	<li>Evidence-based statistical 
 inference</li><br>	<li>False positives? False negatives? The need for 
 replicability of results</li><br>	<li>Categorical predictors with 
 analysis of variance (ANOVA)</li><br>	<li>Explaining the world of 
 variation through linear modelling</li><br></ul><br><br><p> 
 </p><br><br><p>Duration of this course: 4-5 h</p><br><br><p> 
 </p><br><br><div><br><p>The indicated course duration refers to the pure 
 review of the learning content. Please plan additional time for working 
 on exercises and transfer tasks.</p><br><br><p> </p><br><br><p>This 
 e-learning course is being offered in a self-learning format. You 
 therefore have the option to begin at any time convenient to you and 
 work through it at your own pace.</p><br><br><p> 
 </p><br><br><p><strong>Please note</strong></p><br><br><p>You can access 
 the course on the KOaLA-online training platform of KIT.</p><br><br><p> 
 </p><br><br><p>+++ Please make sure to use <strong>Firefox</strong> when 
 accessing the e-learning courses on KOaLA. Otherwise the courses and 
 your learning progress might not be displayed correctly. 
 +++</p><br><br><p> </p><br><br><p>1. Please follow the subsequent link 
 to the platform website: <a 
 href="https://koala.kit.edu">https://koala.kit.edu</a>     
 </p><br><br><p>2. Please register on the platform with your KIT-account 
 details (&lsquo;Mit KIT-Account anmelden&rsquo;)</p><br><br><p>3. Please 
 select the tile &lsquo;Repository&rsquo; (&lsquo;Magazin&rsquo;) and 
 scroll to the &lsquo;Marketplace&rsquo; (&lsquo;Marktplatz&rsquo;) where 
 you will find all available tiles of KHYS e-learning courses. Please 
 select the tile of the course and click &lsquo;Join&rsquo; 
 (&lsquo;Beitreten&rsquo;).</p><br><br><p> </p><br><br><p>This course is 
 open to <strong>all KIT-members</strong> at any 
 time.</p><br></div><br><br><p> </p><br></BODY></HTML>
DESCRIPTION: Statistical Research Methods [E-LEARNING]
 \ne-learning\n\n<p><em>Statistical Research Methods</em> provides
 comprehensive, cross-disciplinary support for junior researchers who
 require a foundation or refresher in statistical methods. With a
 pre-programme diagnostic tool, signposted material and a modular format,
 the course supports researchers who want to evaluate and interpret
 statistics. It addresses the current statistics context, taking the
 interdisciplinary research environment into consideration.</p>\n\n<p>
 </p>\n\n<p>The course includes the following modules:</p>\n\n<p>
 </p>\n\n<ul>\n	<li>Utilise statistics to enable and enhance your
 research</li>\n	<li>Storytelling with data visualisation and exploratory
 analysis with descriptive statistics</li>\n	<li>Probability
 distributions as approximating models of reality</li>\n	<li>Sampling,
 estimation and generalisation of results</li>\n	<li>Evidence-based
 statistical inference</li>\n	<li>False positives? False negatives? The
 need for replicability of results</li>\n	<li>Categorical predictors with
 analysis of variance (ANOVA)</li>\n	<li>Explaining the world of
 variation through linear modelling</li>\n</ul>\n\n<p>
 </p>\n\n<p>Duration of this course: 4-5 h</p>\n\n<p>
 </p>\n\n<div>\n<p>The indicated course duration refers to the pure
 review of the learning content. Please plan additional time for working
 on exercises and transfer tasks.</p>\n\n<p> </p>\n\n<p>This e-learning
 course is being offered in a self-learning format. You therefore have
 the option to begin at any time convenient to you and work through it at
 your own pace.</p>\n\n<p> </p>\n\n<p><strong>Please
 note</strong></p>\n\n<p>You can access the course on the KOaLA-online
 training platform of KIT.</p>\n\n<p> </p>\n\n<p>+++ Please make sure to
 use <strong>Firefox</strong> when accessing the e-learning courses on
 KOaLA. Otherwise the courses and your learning progress might not be
 displayed correctly. +++</p>\n\n<p> </p>\n\n<p>1. Please follow the
 subsequent link to the platform website: <a
 href="https://koala.kit.edu">https://koala.kit.edu</a>     </p>\n\n<p>2.
 Please register on the platform with your KIT-account details (‘Mit
 KIT-Account anmelden’)</p>\n\n<p>3. Please select the tile
 ‘Repository’ (‘Magazin’) and scroll to the ‘Marketplace’
 (‘Marktplatz’) where you will find all available tiles of KHYS
 e-learning courses. Please select the tile of the course and click
 ‘Join’ (‘Beitreten’).</p>\n\n<p> </p>\n\n<p>This course is open
 to <strong>all KIT-members</strong> at any time.</p>\n</div>\n\n<p>
 </p>\n
DTSTART;TZID=Europe/Berlin:20261214
DTEND;TZID=Europe/Berlin:20261214T000000
LOCATION:e-learning
END:VEVENT
END:VCALENDAR