R Programming Lab detailed syllabus scheme for Information Technology (IT), 2019 regulation has been taken from the University of Mumbai official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.
For all other Mumbai University Information Technology 8th Sem Syllabus 2019 Pattern, do visit IT 8th Sem 2019 Pattern Scheme. The detailed syllabus scheme for r programming lab is as follows.
R Programming Lab Syllabus for Information Technology BE 8th Sem 2019 Pattern Mumbai University
Lab Objectives:
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Lab Outcomes:
students will be able to:
- Install and use R for simple programming tasks.
- Extend the functionality of R by using add-on packages
- Extract data from files and other sources and perform various data manipulation tasks on them.
- Code statistical functions in R.
- Use R Graphics and Tables to visualize results of various statistical operations on data .
- Apply the knowledge of R gained to data Analytics for real life applications.
SOFTWARE requirements:
- The R statistical software program. Available from: https://www.r-project.org/
- RStudio an Integrated Development Environment (IDE) for R. Available from: https://www.rstudio.com/
– Any programming Language like Java Python. Basic statistics. Data Mining Algorithms — —
Module I
Introduction: Installing R on personal machines. installing R and RStudio.
- The basic functionality of R will be demonstrated, Variable types in R. Numeric variables, strings and factors.
- Accessing the help system. Retrieving R packages.
- Basic data types and operations: numbers, characters and composites.
- Data entry and exporting data 02 LO 1, LO 2, LO 3
Module II
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Module III
R as a programming language:
- Grouping, loops and conditional execution, Functions Exploratory data analysis
- Range, summary, mean, variance, median, standard deviation, histogram, box plot, scatterplot 04 LO 1, LO 4
Module IV
Graphics in R
- Graphics and tables
- Working with larger datasets
- Building tables with aggregate
- Introduction to ggplot2 graphics 06 LO 3
Module V
Regression and correlation
- Simple regression and correlation, Multiple regression
- Tabular data and analysis of Categorical data 02 LO 4
Module VI
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier..
Text Books:
- URL: https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf ( Online Resources)
- R Cookbook Paperback – 2011 by Teetor Paul O Reilly Publications
- Beginning R: The Statistical Programming Language by Dr. Mark Gardener, Wiley Publications
- R Programming For Dummies by Joris Meys Andrie de Vries, Wiley Publications
Reference Books:
- Hands-On Programming with R by Grolemund, O Reilly Publications
- R for Everyone: Advanced Analytics and Graphics, 1e by Lander, Pearson Ltd.
- R for Data Science Learning Dan Toomey December 2014 Packt Publishing Limited
Term Work:
Term Work shall consist of experiment on above guidelines/syllabus. Also Term work Journal must include at least 2 assignments. Term Work Marks: 25 Marks (Total marks) = 15 Marks (Experiment) + 5 Marks (Assignments) + 5 Marks (Attendance) Practical & Oral Exam: An Oral exam will be held based on the above syllabus.
For detail syllabus of all other subjects of Information Technology (IT) 8th Sem 2019 regulation, visit IT 8th Sem Subjects syllabus for 2019 regulation.