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.
Page 2 of 2


Subjects

  • ac to dc converters
  • advanced cad
  • advanced concrete technology
  • advanced data structures
  • advanced database management system
  • advanced mechanics of solids
  • advanced reinforced concrete design
  • advanced solid mechanics
  • advanced steel design
  • advanced structural analysis
  • advanced web technologies
  • big data analytics
  • computer aided manufacturing
  • computer aided process planning
  • computer architecture
  • computer oriented numerical methods
  • cyber security
  • data science
  • data structures and problem solving
  • dc to ac converters
  • design for manufacturing and assembly
  • design for manufacturing mems and micro systems
  • design of hydraulic and pneumatic system
  • distributed operated system
  • earthquake resistant design of buildings
  • embedded c
  • embedded networking
  • embedded real time operating systems
  • embedded system architecture
  • embedded system design
  • embedded wireless sensor networks
  • english for research paper writing
  • finite element method
  • flexible ac transmission systems
  • flexible manufacturing system
  • foundations of data science
  • foundations of data sciences
  • fpga architecture and applications
  • hardware and software co-design
  • high performance architecture
  • intelligent controllers
  • internet of things
  • introduction to aerospace engineering
  • mathematical foundation of computer
  • mathematical methods in engineering
  • matrix methods of structural analysis
  • micro controllers and programmable digital signal processing
  • multilevel inverters
  • numerical method for partial differential equations
  • power electronic control of ac drives
  • power electronic control of dc drives
  • power quality
  • precision engineering
  • principles of distributed embedded systems
  • programmable logic controllers and their applications
  • rapid prototype technologies
  • rehabilitation and retrofitting of structures
  • renewable energy systems
  • research methodology
  • soft computing
  • special machines and their controllers
  • stress analysis and vibration
  • structural dynamics
  • structural health monitoring
  • theory of elasticity and plasticity
  • theory of thin plates and shells
  • web intelligent and algorithm
  • wireless lan’s and pan’s
  • wireless lans and pans
  • wireless sensor networks