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Old September 23rd, 2020, 04:52 PM
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Default Sathyabama Institute of Science and Technology B.E. - Automobile Engineering SCSA400

Sathyabama Institute of Science and Technology B.E. - Automobile Engineering SCSA4001 R Programming Syllabus

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY

SCSA4001 R PROGRAMMING

UNIT 1 INTRODUCTION TO R 9 Hrs.
History and fundamentals of R, Installation and use of R / R Studio / R Shiny, Installing R packages, R – Nuts and Bolts -
Getting Data In and Out –Objects in R -Arrays,DataFrame and List -Control Structures and Functions- Loop Functions-Data
Manipulation- String Operations- Matrix Operations.

UNIT 2 R DATA INTERFACES 9 Hrs.
CSV Files, XSL files, XML files, Web Data- Data Preprocessing: Missing Values, Outliers ,Principle Component Analysis -
Data Visualization – Charts & Graphs-Pie Chart, Bar Chart, Box plot, Histogram, Line graph, Scatter Plot.

UNIT 3 STATISTICAL MODELING IN R 9 Hrs.
Descriptive statistics-R Packages: Regression (MASS package) - Distribution (STATS package) - ANOVA - Time Series
Analysis.

UNIT 4 MACHINE LEARNING IN R 9 Hrs.
Classification: Decision Trees, Random Forest, SVM – Clustering: K-Means, Fuzzy - Association Rule Mining - Outlier
Detection.

UNIT 5 BUILDING R SHINY APPLICATION 9 Hrs.
User Interface, Control Widgets, Dynamic Output - R Hadoop: Installation of RHadoop-rhdfs –rmr2-Data Analysis with
RHadoop- Case Study.
Max. 45 Hrs.


COURSE OUTCOMES
On completion of the course, student will be able to
CO1 - List motivation for learning R programming language
CO2 - Access online resources for R and import new function packages into the R workspace
CO3 - Import, review, manipulate and summarize data-sets in R
CO4 - Explore data-sets to create testable hypotheses and identify appropriate statistical tests
CO5 - Perform appropriate statistical tests using R
CO6 - Create and edit visualizations with R


TEXT / REFERENCE BOOKS
1. Hands-On Programming with R: Write Your Own Functions and Simulations By Garrett Grolemund, O'Reilly Media,
Inc., 2014.
2. R for Data Science, Hadley Wickham, Garrett Grolemund,"O'Reilly Media, Inc.2016.
3. Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R By Christian Heumann,
Michael Schomaker and Shalabh, Springer, 2016
4. The R Software-Fundamentals of Programming and Statistical Analysis -Pierre Lafaye de Micheaux, Rémy Drouilhet,
Benoit Liquet, Springer 2013
5. A Beginner's Guide to R (Use R) By Alain F. Zuur, Elena N. Ieno, Erik H.W.G. Meesters, Springer 2009


END SEMESTER EXAMINATION QUESTION PAPER PATTERN
Max. Marks: 100 Exam Duration: 3 Hrs.
PART A: 10 Questions of 2 marks each-No choice 20 Marks
PART B: 2 Questions from each unit with internal choice, each carrying 16 marks 80 Marks
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