EECS E4764 | Fall 2017 | MW 2:40-3:55PM | Location: 834 Seeley W. Mudd Building
Instructor: Prof. Xiaofan (Fred) Jiang, Electrical Engineering, Columbia University

Final Project Presentations and Demos

Best Project

Group 6: Smart Bag
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group7/

Best Presentation

Group 4: Medimate
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group4/

Best Demo

Group 11: Smart Hamper
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group8/

Expo Silver

Group 1: Anti-Theft System for Home Protection
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group1/

Expo Silver

Group 12: Trendy Wardrobe
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group2/

Group 2: E-farm
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group3/

Group 5: Smart Cart
Websihttps://youtu.be/f9IxWdw_RZ0te: http://icsl.ee.columbia.edu/iot-class/2016fall/group3/

Group 7: Elevator Traffic Monitor
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group5/

Group 9: Eco-Approach IoT Car with Signal Optimization
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group6/

Group 13: Autonomous Intersection Management
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group9/

Group 14: Smart Curtain
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group11/

Group 15: Smart Lacrosse Stick
Website: http://icsl.ee.columbia.edu/iot-class/2016fall/group12/


Course Description

We are in the midst of a technological transformation where everyday objects are becoming smarter and constantly connected to the cloud. These intelligent and connected systems, sometimes referred to as Internet of Things, together with the data they produce and consume, hold the promise to improving our everyday lives.

To prepare our students as forerunners of this future, this course will introduce students to a wide range of topics in the broad areas of cyber-physical systems and Internet-of-Things, including:

In addition to lectures from the instructor, guest lecturers from both academia and industry will give talks in the second half of the term, and provide students a more comprehensive view on current topics in CPS/IoT.

Students will form groups to work on a course projects during the second half of the term, and create a complete working IoT system.

 Course Format


  • 5% Class and lab attendance
  • 30% Labs (6 labs, each 5%)
  • 25% Mid-term
  • 40% Final project
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