From 0c8c875bf2cb26ced787ccf00f7460730992b444 Mon Sep 17 00:00:00 2001
From: Prakhar Srivastav <prakhar1989@gmail.com>
Date: Sat, 8 Aug 2015 21:00:54 +0530
Subject: [PATCH] Changed CMU course link. Fixes #126

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 826414c..9f01795 100644
--- a/README.md
+++ b/README.md
@@ -742,7 +742,7 @@ Topics covered include probability theory and Bayesian inference; univariate dis
 	- [Quizzes](http://css.csail.mit.edu/6.858/2014/quiz.html)
 	- [Readings](http://css.csail.mit.edu/6.858/2014/reference.html)
 	- [Final Projects](http://css.csail.mit.edu/6.858/2014/projects.html)
-- [14-740](http://www.ini740.com/F14/index.html) **Fundamentals of Computer Networks** *CMU* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" title="Lecture Videos" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" title="Readings" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" />
+- [14-740](http://www.ini740.com/F15/index.html) **Fundamentals of Computer Networks** *CMU* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" title="Lecture Videos" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" title="Readings" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" />
 	- This is an introductory course on Networking for graduate students. It follows a top-down approach to teaching Computer Networks, so it starts with the Application layer which most of the students are familiar with and as the course unravels we learn more about transport, network and link layers of the protocol stack.
 	- As far as prerequisites are concerned - basic computer, programming and probability theory background is required.
 	- The course site contains links to the lecture videos, reading material and assignments.