Big Data Analysis detailed syllabus for Biotechnology & Biochemical Engineering (BBE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the BBE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Biotechnology & Biochemical Engineering 6th Sem scheme and its subjects, do visit BBE 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to BBE Professional Elective-IV syllabus scheme. The detailed syllabus of big data analysis is as follows.
Course Objectives:
Download the iStudy App for all syllabus and other updates.
Unit I
INTRODUCTION 9
Big data analytics overview, Data life cycle, Traditional Data mining Life cycle, CRISP, Big Data life cycle methodologies
Unit II
DATA EXPLORATION AND VISUALIZATION 9
Problem Definition, Data Collection, Data Pre-processing, Data Cleaning – Homogenization, Heterogenization, Summarizing data, Data Exploration and Visualization
Unit III
Download the iStudy App for all syllabus and other updates.
Unit IV
CHARTS & GRAPHS 9
Develop pie chart, 3D pie chart, Histograms, Bar chart, Group bar chart, Stacked Bar chart, Line graph, Multiline graph and Box plot.
Unit V
BIG DATA ANALYTICS FOR HEALTH CARE 9
Big data analytics in bioinformatics, Health care, Data mining using RNA seq data, Text mining on complex biomedical literature, Biological sequence motifs and patterns.
Course Outcomes:
The students will be able to
- Know various types of big data platform and cloud computing model.
- Understand the fundamentals of big data technologies
- Apply the big data tools and software in handling the biological data.
- Evaluate variety of big data analytics tools.
- Explore use of R platform for biological big data analysis.
- Design and develop Biological models based on big data techniques.
Text Books:
Download the iStudy App for all syllabus and other updates.
Reference Books:
- Mark Gardener. Beginning R: The Statistical Programming Language. John Wiley & Sons, 2012.
- Avril Coghlan, A Little Book of R For Bioinformatics, Release 0.1, 2017
- Robert Gentleman, R Programming for Bioinformatics, CRC press, Taylor & Francis,2008
For detailed syllabus of all the other subjects of Biotechnology & Biochemical Engineering 6th Sem, visit BBE 6th Sem subject syllabuses for 2021 regulation.
For all Biotechnology & Biochemical Engineering results, visit Anna University BBE all semester results direct link.