Installing and configuring all the software needed for this course on your machine might be tedious. We have prepared cloud-based virtual machines (VMs), one for each student, which can be remotedly accessed and used during the current semester. Please find here a comprehensive guide on how to connect to the cloud-based virtual machines provided by the Laboratory for Internet Computing (LInC).

A (not very) short intro to Python can be found here

Week	Description	Material
1	No Lab
2	NLTK and Apache OpenNLP	NLTK Python library, http://www.nltk.org/ Apache OpenNLP Java library, http://opennlp.apache.org/ Demonstration of simple scenarios	LAB01.pdf, OpenNLP.zip
3	NLTK in Python - Exercises	inverted_index.py	LAB02.pdf
4	Public Holiday	NO LAB
5	Apache Lucene	Getting Started with Apache Lucene Demonstration of a simple scenario http://lucene.apache.org/java/docs/index.html http://www.lucenetutorial.com/	LAB03.pdf, dataset.zip Lucene Example 1
6	Apache Hadoop 1	Background information for MapReduce Introduction to Hadoop (please read message about virtual machine above) http://hadoop.apache.org/	LAB04.pdf Hadoop 1 Source Code Dataset Hadoop 1 Solution
7	Apache Hadoop 2 - Exercises		LAB05.pdf Hadoop 2 Source Code -- WordCount.java SalesJan2009.csv
8	Apache Hadoop 3 - Exercises		LAB06.pdf Hadoop 3 Source Code
9	ElasticSearch	Getting Started with ElasticSearch Demonstration of a simple scenario https://www.elastic.co/	LAB07.pdf
10	ElasticSearch - Exercises		LAB08.pdf lab8.zip
11	Apache Spark	Introduction to Spark Getting Started with Spark Demonstration of a simple scenario https://spark.apache.org/ Prerequisite: Intro to Python Tutorial	LAB09.pdf kmeans-example.py network-word-count.py
12	Apache Spark - Exercises		LAB10.pdf
13	No Lab (project presentations week)