Course abstract
A selected set of applications for the IoT world are introduced. In our topic on first responder networks, we try build a system to detect human life under a building debris. The sensors and the algorithms designed will be described. Our topic on automotive sector includes sensors such as LiDARs and Cameras used for obstacle detection. Anomaly detection in streaming will be discussed. We also explain some of the current protocols from the Wi-Fi world which have been made suitable for the V2X communication. In the topic related to smart grid world, We will introduce demand response optimizations. Several applications require speech to text and we propose to explain the acoustic and language models associated with decoding. We introduce the topic of cargo monitoring in large warehouses by combining vision with learning. Our topic on localization uses the IMU sensors present in a mobile phone. Other topics include air quality and we will discuss the issues associated with them
Course Instructor
Prof T V Prabhakar
Prabhakar Venkata works as Principal Research Scientist in the Department of Electronic Systems Engg, IISc, Bangalore. His area of work is in Networked Embedded Systems. His research interest is in Energy Harvesting and Power Management Algorithms for sensor networks. The broad spectrum comprises of Modeling, Virtual Prototyping,System Building and Performance evaluation. His current work in LED based communication won the best demo award in COMSNETS 2014. He is currently working on energy harvesting technologies in chip design, indoor localization applications, and other battery less applications. The Zero Energy Networks laboratory (ZENLab) at IISc| specializes in building many ultra low power embedded boards and software stacks. The application areas are related to Smart Grids, Healthcare, Human Security and Agriculture. Current research focus is on test bed creation for Tactile Internet applications with 5G technologies. Prabhakar Venkata holds a MSc (Engg) from IISc and a PhD degree from the Delft University of Technology (TUDelft), The Netherlands.More info
Teaching Assistant(s)
Course Duration : Jan-Mar 2019
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Enrollment : 15-Nov-2018 to 28-Jan-2019
Exam registration : 28-Jan-2019 to 22-Mar-2019
Exam Date : 31-Mar-2019
Enrolled
12914
Registered
463
Certificate Eligible
280
Certified Category Count
Gold
0
Silver
0
Elite
36
Successfully completed
244
Participation
93
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate
Final Score Calculation Logic
- Assignment Score = Average of best 6 out of 8 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Enrollment Statistics
Total Enrollment: -1
Registration Statistics
Total Registration : 463
Assignment Statistics
Exam score
Final score