SRM University, Kattankulathur SET-A

Department of Information Technology

IT1110/ Data Science and Big Data Analytics

Cycle Test 1-Set-A

Class : III/VISem/ BTech Date : 07-03-2017

Duration : 2 Periods Max. Marks:50 marks

List of Instructional Objectives covered in this Test:

IO1- Learn about the basics of data Science and to understand the various supervised and Unsupervised learning Techniques.

IO2- Bringing together several key technologies used in manipulating, storing, and analyzing big data.

Outcomes covered in this test:

a-An ability to apply knowledge of computing and mathematics appropriate to the discipline

i- An ability to use current techniques, skills, and tools necessary for computing practice.

i1 - ability to choose suitable computing hardware for solving problems

i2 - ability to select appropriate tools and demonstrating skills to effectively use them for computing practice

Part-B (Answer ANY FIVE questions)(4x5=20marks)

  1. State the Business Drivers for Advanced Analytics
  2. Enlist the Three Recurring Sets of Activities that Data Scientists perform?
  3. Illustrate an R code that provides some common R functions that include descriptive statistics
  4. Write a note on Hexbin Plot and clearly give the syntax how hexbin plots can be used for large Datasets?
  5. State Bayes Theorem and give suitable scenario in which the naive bayes classifier works efficiently?
  6. Differentiate Supervised and Unsupervised learning with suitable techniques?

Part-C (Answer the following) (2x15=30 marks)

  1. a) Describe the current analytical architecture of a typical data science project with suitable diagram

(OR)

b) Describe elaborately any three techniques used for data exploration of a Multiple Variable with suitable syntax and example?

  1. a) Using Naive Bayes try to predict whether the an unseen sample X = <rain, hot, high, false> is good for playing tennis or not?

(OR)

b) For the below datasets cluster the given data using K=2 using the distance measure and discuss on the inference

i / X1 / X2
A / 1 / 1
B / 1 / 0
C / 0 / 2
D / 2 / 4
E / 3 / 5

SRM University, Kattankulathur

Department of Information Technology

IT1110/ Data Science and Big Data Analytics

Cycle Test 1-Set-A

Evaluation Sheet

Class : III/VI Sem/ BTech Date : 07-03-2017

Duration : 2 Periods Max. Marks:50 marks

Reg No.

Instructional Objective:

IO1- Learn about the basics of data Science and to understand the various supervised and Unsupervised learning Techniques.

IO2- Bringing together several key technologies used in manipulating, storing, and analyzing big data.

Course Outcomes:

a-An ability to apply knowledge of computing and mathematics appropriate to the discipline

i- An ability to use current techniques, skills, and tools necessary for computing practice.

i1 - ability to choose suitable computing hardware for solving problems

i2 - ability to select appropriate tools and demonstrating skills to effectively use them for computing practice

Question No / Instructional Objective / Course Outcome / Marks Obtained
1 / IO1 / a
2 / IO1 / a
3 / IO1 / i2
4 / IO2 / i2
5 / IO2 / i2
6 / IO2 / i2
7 a/b / IO1 / a
8 a/b / IO2 / i2
Total

Total Marks: /50

Outcome Met Yes/NoSignature: