Cloud Computing and Big Data (Spring 2016)

Welcome to the course of Cloud Computing and Big Data. This course is designed for M.Phil and Ph.D students. We will discuss concepts in detail related to Cloud Computing and Big Data. Students would get an opportunity to do projects/assignments using relevant tools and technologies. 

• Tentative Syllabus

Lectures

• 22-02-2016 Week 01: Course Introduction 

• 29-02-2016 Week 02: Introduction to Cloud Computing (Updated!)

• 07-03-2016 Week 03: Introduction to Big Data

• 14-03-2016 Week 04: Server Consolidation and Virtualization

• 17-03-2016 Week 04: Introduction to Dockers

• 18-03-2016 Week 05-07: Fundamentals of Distributed Systems

• 13-04-2016 Week 08: Introduction to MapReduce 

• 02-05-2016 Week 11: NoSQL

• 09-05-2016 Week 12: Big Data Analytics  

• 16-05-2016 Week 13: Decision Table and Logistic Classification 

• 23-05-2016 Week 14: Hassan Presentation on Big Data Tools (Zookeeper, Kafka, and Spark)

• 30-05-2016 Week 15: Distributed Hash Table 

Assignments

• Assignment 01:  Hosting and Load Balancing a Web Application Using Docker Containers 

  • Announced Date: Monday 28 March, Deadline: Tuesday 5 April, 9:00am 

• Assignment 02: Distributed Prime Number Generation 

• Announced Date: Monday 2 May, Deadline: Tuesday 10 May, 9:00am 

• Assignment 03: Learning Hadoop and ELK Stack 

• Announced Date: Monday 23 May, Deadline: Wednesday 1 June, 9:00am