Exam Details
Subject | foundations of data sciences | |
Paper | ||
Exam / Course | m.tech | |
Department | ||
Organization | Institute Of Aeronautical Engineering | |
Position | ||
Exam Date | January, 2018 | |
City, State | telangana, hyderabad |
Question Paper
Hall Ticket No Question Paper Code: BCS001
INSTITUTE OF AERONAUTICAL ENGINEERING
(Autonomous)
M.Tech I Semester End Examinations (Regular) January, 2018
Regulation: IARE-R16
FOUNDATIONS OF DATA SCIENCES
(Computer Science and Engineering
Time: 3 Hours Max Marks: 70
Answer ONE Question from each Unit
All Questions Carry Equal Marks
All parts of the question must be answered in one place only
UNIT I
1. Describe the roles and responsibilities in a data science project.
Write an R script to display Fibonacci sequence using recursion.
2. What is the basic syntax for creating a matrix in R. Write the R script to access the elements of
a matrix.
Write the R script to perform addition, subtraction, multiplication, division operations on matrices.
UNIT II
3. Create a XML file with employee id, name, and salary, join date, dept for 10 employees.
Write an R script to get number of nodes present in XML file created above.
4. Create a JSON file with employee id, name, and salary, join date, dept for 10 employees.
Write an R script to read the XML file created in A into R by installing appropriate packages
required.
UNIT III
5. Discuss Naïve Bayes memorization methods with its applications.
What is K-fold cross-validation and explain by taking a data set as example?
6. Discuss about clustering in detail? Elaborate k means algorithm. Write a R Script to implement
Manhattan distance
List the different types of clustering. Write about k-nn algorithm. Write a R Script to cluster
the mtcars dataset using k-nn algorithm.
Page 1 of 2
UNIT IV
7. Compare various learning algorithms in detail and explain them with formulas.
Describe null hypothesis and alternative hypothesis with examples. What is value and give its
importance.
8. Describe the basic structure of back propagation ANN algorithm. Elaborate each layer importance
and error propagation function.
Describe the basic principle of sampling theory with some applications.
UNIT V
9. How to partition the window to get more number of plots? Discuss on single and multi object
plots in R.
Elaborate how to export a graph using graphics parameters. How to export the text data to plot
with example.
10. How to plot the word data based n frequency of words. Write R script to plot a data frame
having 2 data frames using relevant plot. (Assume your own data frames)
Generalize the graphical analysis in data analysis? List the various plots in R and explain in
detail.
INSTITUTE OF AERONAUTICAL ENGINEERING
(Autonomous)
M.Tech I Semester End Examinations (Regular) January, 2018
Regulation: IARE-R16
FOUNDATIONS OF DATA SCIENCES
(Computer Science and Engineering
Time: 3 Hours Max Marks: 70
Answer ONE Question from each Unit
All Questions Carry Equal Marks
All parts of the question must be answered in one place only
UNIT I
1. Describe the roles and responsibilities in a data science project.
Write an R script to display Fibonacci sequence using recursion.
2. What is the basic syntax for creating a matrix in R. Write the R script to access the elements of
a matrix.
Write the R script to perform addition, subtraction, multiplication, division operations on matrices.
UNIT II
3. Create a XML file with employee id, name, and salary, join date, dept for 10 employees.
Write an R script to get number of nodes present in XML file created above.
4. Create a JSON file with employee id, name, and salary, join date, dept for 10 employees.
Write an R script to read the XML file created in A into R by installing appropriate packages
required.
UNIT III
5. Discuss Naïve Bayes memorization methods with its applications.
What is K-fold cross-validation and explain by taking a data set as example?
6. Discuss about clustering in detail? Elaborate k means algorithm. Write a R Script to implement
Manhattan distance
List the different types of clustering. Write about k-nn algorithm. Write a R Script to cluster
the mtcars dataset using k-nn algorithm.
Page 1 of 2
UNIT IV
7. Compare various learning algorithms in detail and explain them with formulas.
Describe null hypothesis and alternative hypothesis with examples. What is value and give its
importance.
8. Describe the basic structure of back propagation ANN algorithm. Elaborate each layer importance
and error propagation function.
Describe the basic principle of sampling theory with some applications.
UNIT V
9. How to partition the window to get more number of plots? Discuss on single and multi object
plots in R.
Elaborate how to export a graph using graphics parameters. How to export the text data to plot
with example.
10. How to plot the word data based n frequency of words. Write R script to plot a data frame
having 2 data frames using relevant plot. (Assume your own data frames)
Generalize the graphical analysis in data analysis? List the various plots in R and explain in
detail.
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