Big Data and Cloud Computing detail syllabus for Biomedical Engineering (BME), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17BM754), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other bme 7th sem syllabus for be 2017 scheme vtu you can visit BME 7th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-IV subjects do refer to Professional Elective-IV. The detail syllabus for big data and cloud computing is as follows.
Module 1
Introduction To Big Data: Characteristics of Data, Evolution of Big Data, Definition of Big Data, Challenges with Big Data, What is Big Data?, Other Characteristics of Data, Why Big Data?, Information?, Traditional Business Intelligence (BI) versus Big Data, A Typical Data Warehouse Environment, A Typical Hadoop Environment, What is New Today?, What is changing in the Realms of Big Data? Big Data Analytics: What is Big Data Analytics? What Big Data Analytics Isnt? Classification of Analytics, Top Challenges Facing Big Data, Why is Big Data Analytics Important? Data Science, Few Top Analytics Tools.
Module 2
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Module 3
Introduction :Cloud Computing at a Glance, Historical Developments, Building Cloud Computing Environments, Computing Platforms and Technologies, Virtualization: Introduction, Characteristics of Virtualized, Environments Taxonomy of Virtualization Techniques, Virtualization and Cloud Computing, Pros and Cons of Virtualization, Technology Examples.
Module 4
Cloud Computing Architecture: Introduction, Cloud Reference Model, Architecture, Types of Clouds, Economics of the Cloud, Open Challenges, Aneka: Cloud Application Platform: Framework Overview, Anatomy of the Aneka Container, Building Aneka Clouds, Cloud Programming and Management.
Module 5
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Course Outcomes:
After studying this course, students will be able to:
- Describe the concepts and technologies of big data analytics.
- Apply the techniques in handing and analysis of big data.
- Discuss the concepts and terminologies of cloud computing.
- Demonstrate cloud frameworks and technologies
- Describe and apply fine data intensive computing.
- Demonstrate cloud applications.
Question paper pattern:
- The question paper will have TEN questions.
- Each full question carry 16 marks
- There will be TWO full questions (with maximum of THREE sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer FIVE full questions, selecting ONE full question from ea module.
Text Books:
- Big Data and Analytics – Seema Acharya, Subhashini Chellappan Willey India ISBN 13 9788126554782
- Mastering Cloud Computing – Rajkumar Buyya, Christian Vecchiola, and Thamarai Selvi McGraw Hill Education.
Reference Books:
- Big Data Analytics with R and Hadoop – Vignesh Prajapati, 2013 Packt Publishing.
- Cloud Computing Bible – Barrie Sosinsky, Wiley-India, 2010.
- Cloud Computing: A Practical Approach – Toby Velte, Anthony Velte, Robert Elsenpeter, McGraw Hill Professional Publications, 2009. [ISBN: 0071626956].
For detail syllabus of all other subjects of BE Bme, 2017 regulation do visit Bme 7th Sem syllabus for 2017 Regulation.
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