Bulletin Description:

• Broad study of technical aspects of Internet of Things: architectures, algorithms, channels, devices, networks, protocols, communications, power, data processing, security, and standards. In-depth analysis of several selected use cases across systems, software and hardware. Focus on a significant design project. Participation of contributors from industry.

Content

• Introduction, motivation, summary of critical applications

• Communication channels and techniques

• Wireless technology overview and standards

• WiFi and cellular: next generation and IoT

• SW and HW: platforms and development

• Device architecture

• Embedded software development

• Low power devices

• Protocols

• Machine to machine communication

• Networks and internet address management

• Topologies and localization

• Cyber-physical Systems

• Security and privacy

• Cloud computing and data analytics

• Energy harvesting

• Sensors and sensor networks

• Security and privacy

• Challenges: business models, monetization, hype

• Data analytics for IoT

• Machine learning for IoT

Project Pages http://iotcolumbia.weebly.com/

Project Areas

• Smart Home

• Smart Buildings

• Smart Cities

• Smart Infrastructure

• Mobility and Transport

• Energy

• Smart Grid

• Healthcare

• Wearables

• Data Analytics

• Sensor Technologies

• Security

Course: Open to Columbia students

Internet of Things EECS E6765 3 credit graduate-level course

Link to projects

• Spring 2020, 2019, 2018, 2017, 2016, 2015

• Prerequisites - suggested: Wireless Communications (ELEN E4703), Computer Networks (CSEE W4119), Advanced Logic Design (CSEE4823), Embedded Systems (CSEE4840), or related courses. Knowledge of programming.

 Organization

• Lectures:

  • Presentation of instructional material

• Lab sessions:

  • Covering critical elements of IoT design

  • Communication platform setup using BTLE, WIFI of Zigbee

  • Connecting to the Internet

  • Enablement of a sensor-based application

  • Data processing

• Projects:

  • Team-based

  • Students with complementary backgrounds

  • Significant design

  • Reports and presentations to Columbia and NYC community

  • Best could qualify for publications and/or funding

• Industry participation:

  • Project definition and sponsoring

  • Weekly presentations

  • Interaction with students through mentoring

 Books, Tools and Resources

• BOOKS:

  • Notes

• Projects platform:

  • Selection of the industrial-grade HW development platforms (possibilities are Intel, Broadcom, Nordic, Raspberry Pi, others)

  • Amazon AWS cloud tools

  • Intel Edison Platform

  • Raspberry PI

  • Facebook Parse

  • Operating system of choice

  • Code development on github, bitbucket