UNIQUE SERIES AKTU Syllabus
BCIT601

Data Science in IOT

L-T-P3-1-0 Credits4 Session2024-25 TypeTheory
Appears in 1 semester

B.Tech CSE (Internet of Things) · Sem 6 (Core)

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Syllabus

5 units · 40 lecture hours
Unit1

Unit 1: Introduction to Data Analytics

8 hrs

Defining IoT Analytics and Challenges: The situation, Defining IoT analytics, IoT analytics challenges, Business value concern, IoT Analytics for the Cloud, Types of Analytics: Streaming Analytics, Spatial, Time Series and Prescriptive Analytics

Unit2

Unit 2: Data Collection

8 hrs

Getting to know your data, Types of Data, Data collection strategies, Data Pre engineering with IoT data, Exploratory Data Analytics, Descriptive Statistics, Mean, Deviation, Skewness and Kurtosis

Unit3

Unit 3: Data Visualization and Representation

8 hrs

Model Development Simple and Multiple Regression, Model Evaluation using Visualization, Residual Plot, Distribution Plot, Polynomial Regression and Pipelines, Measures for In Evaluation, Prediction and Decision Making, Box Plots, Pivot Table, Heat Map

Unit4

Unit 4: Strategies to Organize Data for Analytics

8 hrs

Linked Analytical Datasets, Linking together strategy, Economics of IoT Analytics, Cost considerations revenue opportunities, The economics of predictive maintenance Cycle

Unit5

Unit 5: Application of Analytics in IoT

8 hrs

IoT based applications, Healthcare, Marketing, Finance, Smart surveillance, Agriculture and Weather Forecasting and other domains; Real analysis

Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Explain the fundamentals of data science and its importance.K3
  2. CO2Classify the evolution, roles, stages in data science projectsK3, K4
  3. CO3Analyze the pre-processing and data reduction strategiesK2, K3
  4. CO4Explain the different data visualization and representation techniquesK2, K4
  5. CO5Evaluate the performance of algorithms in data scienceK3, K6

Text books

  1. JojoMoolayil, “Smarter Decisions : The Intersection of IoT and Data Science”, PACKT, 2016.
  2. Cathy O’Neil and Rachel Schu
  3. David Dietrich, Barry Heller, Beibei Yang, “Data Science and Big data Analytics”, EMC 2013
  4. Andrew Minteer, “Analytics for the Internet of Things (IoT)” 2017, ISBN 978-1787120730.
  5. HwaiyuGeng, Internet of Things and Data Analytics Handbook (1s ISBN 978-1119173649.

Official AKTU syllabus

This subject is on page 21 of the original AKTU PDF.

Official AKTU syllabus PDF ↗