Locations

Lectures: 10:00 – 12:00, LR7, Information Engineering Building.

Practicals: 14:00 – 16:00, 2nd floor, CDT lab, Eagle House.

Lecturer

Dr Nhat (Nick) Pham (nhat.pham@cs.ox.ac.uk)

Teaching Assistants

Lab 1: Dr Minh Tran (minh.tran@ndcn.ox.ac.uk)

Lab 2: An Nguyen (an.nguyen@cs.ox.ac.uk)

Lab 3: Tien Ly (kim.ly@st-hughs.ox.ac.uk) 

Course materials

Lecture slides will appear here before each lecture. 

All the lab materials will be uploaded on Monday.

Lecture notes and slides

Lecture 1: Introduction and Anatomy of Things [PDF]

Lecture 2: Localization, Routing and Networking [PDF]

Lecture 3: ROS, Navigation, and Positioning [PDF]

Lecture 4: On-chip Intelligence, Bio-inspired IoT, Wearable and Wireless Bio-Sensing [PDF]

Lab materials

There will be THREE lab exercises.

Lab 1: Signal Propagation Model and Tree-Based Routing

lab1.zip

Propagation_Loss_Model.pdf

Lab 2: Fingerprint Based Localisation

lab2.zip

Lab 3: Tiny Machine Learning on Chips.

lab3.zip

Assignment deadline: 23:59 UK time, 13 Feb 2023

Supplementary materials

• Google CoLab.

  • Introduction to CoLab

• TensorFlow Lite Micrcontrollers.

  • Introduction to TFLM

  • How-to Get Started with Machine Learning on Arduino

  • TensorFlow Lite Micro Library for Arduino

• Arduino Basics.

  • What is an Arduino?

  • Getting started.

  • Arduino Uno Board.

  • Arduino programming basics (in C++).

  • Arduino in TinkerCad tutorials.

  • LCD Display example.

  • LED 7-Segments Display example.

  • Input button example.

  • Arduino language reference.

  • Arduino basic examples.

  • Arduino libraries examples.

  • An example Arduino clock.

  • Arduino Project Hub with a lot of fun project ideas.