Exam Details
| Subject | data structures | |
| Paper | ||
| Exam / Course | b.e.(computer science and engineering) | |
| Department | ||
| Organization | SETHU INSTITUTE OF TECHNOLOGY | |
| Position | ||
| Exam Date | May, 2017 | |
| City, State | tamil nadu, pulloor |
Question Paper
Reg. No.
M.E. DEGREE EXAMINATION, MAY 2017
Second Semester
Computer Science and Engineering
15PCS201 DATA SCIENCE AND BIG DATA ANALYTICS
(Regulation 2015)
Duration: Three hours Maximum: 100 Marks
Answer ALL Questions
PART A x 20 100 Marks)
1. Explain various data structures involved in big data.
Or
Describe the key skill sets and behavioral characteristics of a data scientist.
2. Explain the model planning with example.
Or
Explain the key roles for the successful analytical project.
3. Explain the basic analytic methods for statistical evaluation.
Or
Compute area under the curve using R programming.
Question Paper Code: 52321
2
52321
4. Explain decision tree for traversing web pages.
Or
Illustrate text analysis with example.
5. Explain working of Hive with proper steps and diagram.
Or
Describe in detail Mahout. Which categories of use cases are supported by Mahout.
M.E. DEGREE EXAMINATION, MAY 2017
Second Semester
Computer Science and Engineering
15PCS201 DATA SCIENCE AND BIG DATA ANALYTICS
(Regulation 2015)
Duration: Three hours Maximum: 100 Marks
Answer ALL Questions
PART A x 20 100 Marks)
1. Explain various data structures involved in big data.
Or
Describe the key skill sets and behavioral characteristics of a data scientist.
2. Explain the model planning with example.
Or
Explain the key roles for the successful analytical project.
3. Explain the basic analytic methods for statistical evaluation.
Or
Compute area under the curve using R programming.
Question Paper Code: 52321
2
52321
4. Explain decision tree for traversing web pages.
Or
Illustrate text analysis with example.
5. Explain working of Hive with proper steps and diagram.
Or
Describe in detail Mahout. Which categories of use cases are supported by Mahout.
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Subjects
- applied statistics and queuing networks
- artificial intelligence
- building enterprise applications
- c# and .net framework
- cloud computing
- computer communication and networks
- computer networks
- computer organization and architecture
- data structures
- data warehousing and data mining
- database management systems
- database system concepts
- design and analysis of algorithms
- discrete mathematics
- distributed systems
- environmental science and engineering
- fundamentals of information security
- fundamentals of mobile computing
- human computer interaction
- information storage management
- interactive computer graphics
- internet of things
- java programming
- microprocessors and microcontrollers
- multimedia
- object oriented analysis and design
- object oriented programming
- object oriented programming with c++
- operating systems
- principles of compiler design
- probability statistics and queuing systems
- project management and finance
- python programming
- qualitative and quantitative aptitude
- reasoning and quantitative aptitude
- software engineering
- software testing
- theory of computation
- transforms and partial differential equations
- value education and human rights
- web programming