Course Description:
Cloud Computing and Big Data are two trending technologies exciting most of the individuals and businesses. Cloud Computing provides huge computation and storage resources on demand. Large user-base is attracted to use Cloud Computing mainly due to pay-per-usage and on-demand resource provisioning characteristics. Nowadays, Big Data is continuously generated through sensors, mobile devices, social media, server logs, medical records etc. Combining Big Data and Cloud Computing technologies help us to develop innovative services and solutions. This course will introduce topics related to Cloud Computing and Big Data in detail. In this course, students will also get hands-on experience of using Amazon Web Services.
Lectures Plan
Week 01: Introduction to Cloud Computing
Week 02: Introduction to Big Data
Week 03: Virtualization
Week 04: Low Cost Quality Aware Application Hosting on the Amazon Cloud
Week 05-06: Fundamentals of Distributed System
Week 07: NoSQL
Week 08 Midterm
Week 09: MapReduce
Week 10: Web Application Deployment Models
Week 11: Introduction to Data Mining
Week 12: Student Presentations
Week 13: Student Presentations
Week 14: Scalable Web Application on the Cloud
Week 15: IoT and Research Projects
Assignments
Related Text / Reading Material:
Jothy Rosenberg and Arthur Mateos; The Cloud at Your Service; Manning Publications. ISBN: 1935182528
· Paul Zikopoulos and Chris Eaton; Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data; McGraw-Hill. ISBN: 0071790535
· Anand Rajaraman and Jeffrey David Ullman; Mining of Massive Datasets; Cambridge University Press. ISBN: 1107015359
Grading Scheme/Criteria:
Research Paper Presentation: 5%
Project/Assignments: 15%
Quizzes: 5%
Midterm Exam: 25%
Final: 50%