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AKTU Data Science in IOT (BCIT601) Syllabus PDF – B.Tech 3rd Year
Data Science in IOT BCIT601
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Official AKTU syllabus of Data Science in IOT (BCIT601) for B.Tech 3rd Year – 4 credits, L-T-P 3-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Data Science in IOT
Download PDFBCIT601 · 4 credits · L-T-P 3-1-0
Course Outcomes
At the end of course , the student will be able to understand
| CO 1 | Explain the fundamentals of data science and its importance. | K 3 |
| CO 2 | Classify the evolution, roles, stages in data science projects | K , K 3 4 |
| CO 3 | Analyze the pre-processing and data reduction strategies | K , K 2 3 |
| CO 4 | Explain the different data visualization and representation techniques | K , K 2 4 |
| CO 5 | Evaluate the performance of algorithms in data science | K , K 3 6 |
Course Content
L-T-P: 3-1-0
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | Introduction to Data Analytics: 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 | 08 |
| II | Data Collection: 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 | 08 |
| III | Data Visualization and Representation: 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 | 08 |
| IV | Strategies to Organize Data for Analytics: Linked Analytical Datasets, Linking together strategy, Economics of IoT Analytics, Cost considerations revenue opportunities, The economics of predictive maintenance Cycle | 08 |
| V | Application of Analytics in IoT: IoT based applications, Healthcare, Marketing, Finance, Smart surveillance, Agriculture and Weather Forecasting and other domains; Real analysis | 08 |
Text Books
- JojoMoolayil, “Smarter Decisions : The Intersection of IoT and Data Science”, PACKT, 2016.
- Cathy O’Neil and Rachel Schu
- David Dietrich, Barry Heller, Beibei Yang, “Data Science and Big data Analytics”, EMC 2013
- Andrew Minteer, “Analytics for the Internet of Things (IoT)” 2017, ISBN 978-1787120730.
- HwaiyuGeng, Internet of Things and Data Analytics Handbook (1s ISBN 978-1119173649.
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