From 37c6ab59236bd5eb90d3db37eedecb70b676381d Mon Sep 17 00:00:00 2001 From: Dev Cruise Date: Tue, 18 Aug 2015 08:59:49 +0530 Subject: [PATCH] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index cf51405..6083008 100644 --- a/README.md +++ b/README.md @@ -699,3 +699,4 @@ Topics covered include probability theory and Bayesian inference; univariate dis - 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. +[CSc 5802](http://web.mst.edu/~ercal/387/387.html) Introduction to Parallel programming and Algorithms