<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mathematics on Pi.Kappa_</title><link>https://pikappa.eu/keywords/mathematics/</link><description>Recent content in Mathematics on Pi.Kappa_</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>© 2025 Pantelis Karapanagiotis</copyright><atom:link href="https://pikappa.eu/keywords/mathematics/index.xml" rel="self" type="application/rss+xml"/><item><title>Real Analysis</title><link>https://pikappa.eu/course/real-analysis-gsefm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://pikappa.eu/course/real-analysis-gsefm/</guid><description>&lt;p class='description'&gt;In the beginning of 2017's winter semester, I taught the preparatory real analysis course of the GSEFM program. The website for all the preparatory courses of 2017 can be found &lt;a href="https://sites.google.com/site/2017presemestercourse/home"&gt;here&lt;/a&gt;. You may find the script of the course below. Please contact me in case you find typos or mistakes.&lt;/p&gt;</description></item><item><title>Supportive Quantitative Methods</title><link>https://pikappa.eu/course/quant-methods-ebs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://pikappa.eu/course/quant-methods-ebs/</guid><description>&lt;figure&gt;
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&lt;p class='description'&gt;The course Supportive Quantitative Methods is a preparatory crash course for the summer student intake. It contains preparatory mathematical methods for the basic microeconomic courses of the EBS Bachelor program. Emphasis is laid on applications of optimization in economic decision-making. The material (continuously updated) for the course is available &lt;a href="https://teach.pikappa.eu/methods/"&gt;here&lt;/a&gt;.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://pikappa.eu/course/quant-methods-ebs/featured.png"/></item></channel></rss>