Internet of Things (IoT) and Applications

The Department of Electronics and Telecommunication, College of Engineering Pune (COEP) is happy to announce a TEQIP sponsored one week Faculty Development Programme (FDP) from December 14 to 18, 2015.

 Overview of the programme:

A one week FDP on Emerging and New Areas of Technology “Internet of things (IoT) and applications” will be mainly designed for theoretical as well as hands on experience using hardware and software. This is a multidisciplinary activity and hence is open to academic and Industry representatives with varied background. It will cover topics like Smart Cities and IoT, Software defined networks, Smart sensors and systems, Computer forensics and IoT related cyber legislation issues. Basic to advanced topics with hands on using hardware and software will be focus of this course.

 Objectives of the programme:

  1. Introduction and description of core concepts of IoT, role and scope of smart sensors for insuring convergence of Technologies and multidisciplinary engineering practices, Machine Intelligence Quotient.
  2. Understanding the need for migrating towards software defined networks and integrating time series data from wireless sensor networks.
  3. Hardware platforms and operating systems commonly used in IoT systems.
  4. Big data predictive analytics and transformation from IT to IOT.
  5. Awareness of IoT related cyber legislation.


Course contents:

  • Smart cities and IoT
  • Wireless Sensor Networks
  • IoT Applications using Sensenuts environment
  • Time series Data bases using IBM product bundled in VM image
  • Big data for IoT
  • Inconsistent information systems for IoT applications
  • Smart sensors and systems,
  • Hardware platform for IoT
  • Software Defined Networks
  • Operating systems for IoT
  • IoT legislation


Outcome of the programme:

After completing the course the participants will understand:

  1. Effective usage of IoT deployment for different sectors.
  2. Developing and modifying code for various sensor based applications using wireless sensor modules and working with variety of modules like environmental and security module.
  3. Exploring the features of predictive data analytics for IoT applications.
  4. Modular hands on training will enable participants to conduct IoT related activities in academic environment and initiate new projects in Industrial sectors.
  5. Participants will be encouraged to orient themselves to specific focused areas of their interest with hands on training.

 Batch size: 25, distributed evenly among academics and Industrial participants from different disciplines. Download the brochure, registration formhere.

Dr. Mrs. Radhika D.Joshi

Programme Co-ordinator

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