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  • Lectures Overview
  • Labs Overview
Lectures
  • Lec 1 : Introduction to IoT, Edge Computing, Digital Twins and AI
  • Lec 2 : Sensor Signal Processing: Sampling and Regression
  • Lec 3 : Fundamentals of Probability and Random Variables
  • Lec 4 : Detection Theory and Networked Detection
  • Lec 5 : Internet-of-Things: Part 1
  • Lec 6 : ML Systems: Part 1
  • Lec 7 : Edge Computing: Part 1
  • Lec 8 : Connectivity in IoT
  • Lec 9 : Edge Computing: Part 2
  • Lec 10 : Time-Series Analysis for IoT
  • Lec 11 : TinyML
Labs
  • Lab 1 : Lab 1
  • Lab 2 : Lab 2
  • Lab 3 : Lab 3
  • Lab 4 : Lab 4
  • Lab 5 : Lab 5

Lecture 2

Contents

  • Essential Reading

Essential Reading

Read following chapters from references:

Read Chapter 2,3,4 and 5 from A First Course in Probability / Sheldon M. Ross, Tenth Edition, 2007 Library Link

Read Chapter 1,2, and 3 from Fundamentals of Statistical Signal Processing by Steven Kay, 1998 Library Link

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