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AKTU · B.Tech · 6th semester

AKTU Data Science in IoT (BCIT601) Question Paper 2024-25

UniversityDr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
CourseB.Tech, Semester VI
SubjectData Science in IoT (BCIT601)
ExamTheory Examination 2024-25 (even semester)
Time · Marks3 hours · 70 marks
SourceAKTU question paper, from the ABESIT question paper bank
View original PDF Other years

Note: Attempt all Sections. In case of any missing data; choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 7 = 14 marks

  1. Explain IoT Analytics?
  2. What isExploratory Data Analytics?
  3. Differentiate between Streaming Analytics and Prescriptive Analytics?
  4. Differentiate between mean and deviation in data analytics?
  5. What is the purpose of data pre-engineering in IoT?
  6. Define skewness and mention its significance in data analysis?
  7. What is a residual plot? What does it indicate?

Section B

Q2. Attempt any three of the following · 7 × 3 = 21 marks

  1. Analyze the role of IoT analytics in creating business value?
  2. Explain the various data collection strategies in IoT environments?
  3. Describe different visualization techniques used in model evaluation and decision-making?
  4. Explain the concept and benefits of linked analytical datasets in IoT systems?
  5. Evaluate the benefits of applying analytics in IoT-driven agricultural systems?

Section C

Q3

Attempt any one part of the following · 7 × 1 = 7 marks

  1. Describe the architecture and components of an IoT analytics system?
  2. Compare and contrast streaming analytics and time series analytics with real-world applications?

Q4

Attempt any one part of the following · 7 × 1 = 7 marks

  1. Discuss the significance of descriptive statistics in exploratory data analysis?
  2. Explain the calculation and interpretation of skewness and kurtosis in a dataset?

Q5

Attempt any one part of the following · 7 × 1 = 7 marks

  1. Evaluate the effectiveness of box plots, heat maps, and pivot tables in representing IoT data?
  2. Explain multiple regression and its application in predictive modeling?

Q6

Attempt any one part of the following · 7 × 1 = 7 marks

  1. Discuss strategies for organizing and linking IoT datasets for better analytics performance?
  2. How do revenue opportunities influence data organization strategies in IoT? Discuss with examples?

Q7

Attempt any one part of the following · 7 × 1 = 7 marks

  1. Discuss the integration of IoT and data science in marketing and financial domains?
  2. Explain the application of IoT analytics in the healthcare sector with real- time examples?

Other years

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