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1. EE6104 - Internet of Things
Course Outline
Rajbabu Velmurugan
Dept of Electrical Engineering
4 Jan. 2023

2. Timing and Venue
● Lecture : Slot 6A (Wed - 11-12.30), Collaborative
Classroom
● Labs: Slot 6B (Fri - 11-12.30 + 1 hr), WEL 2 lab
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3. Course Objective
To understand theory and practical aspects of Internet of
Things (IoT) by having a significant laboratory component
● Design choices in designing, developing, and
implementing an IoT system
● Hardware and software aspects that make an IoT system
will be introduced in the course, with specific applications
(case-studies)
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4. Learning Outcome
● Will be able to design (or choose) most components that
make up an IoT system
○ Sensors and actuators, microcontrollers,
communication and networking aspects, data analysis
● Familiarity with Texas Instruments (TI) platform to develop
an IoT system
○ Embedded software and hardware
● Develop an IoT application to realize something practical
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5. Pre-requisites
Preferable
● EE617 Sensors in Instrumentation
● EE616 Electronic Systems Design
● EE712 Embedded System Design
Familiarity with some microcontroller and its development environment
(Keil/Code-composer studio), for interfacing peripheral devices
Programming in C/Assembly
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6. Grading Policy
● Theory (40 %)
○ Quizzes/Assignments (20 %)
○ Exams (20 %)
● Lab (60 %)
○ Experiments (25 %)
○ Project (35 %)
○ [Above lab component breakup is tentative]
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7. Attendance
● Both theory and lab attendance are compulsory
○ Absence due to medical reasons to be conveyed
through email to instructor and TA
● Late submissions of labs/assignments will be penalized
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8. Lab Experiments (1 of 2)
● Approximately 8 experiments on 3 different TI IoT node
kits (wireless nodes) and microcontroller platform (AM263)
○ CC1352P2 (Sub GHz)
○ CC2640R2 (Bluetooth)
○ CC3235SF (Wi-Fi)
● Code-composer studio (CCS) IDE
● Carry your laptop
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9. Lab Experiments (2 of 2)
● Handouts for experiments will be provided weekly
● Experiment to be conducted in pairs or sometime
individually
○ You can discuss, but you should submit/demonstrate
your work
● Expected to read handouts/manuals and relevant
documentation
[Go over the list of experiments]
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10. Instructors
● Faculty: Rajbabu
● Lab Staff: Maheswar Mangat, Ankur, Mahesh, Amit
Shetye
● Lab RAs: Harsh Vardhan Tiwari, Shantanu Singh Baliyan
● Lab TAs: Rahul Singh, Abhishek Kumar
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11. Website and Moodle
● Moodle will be used as the main website for communication
● https://moodle.iitb.ac.in/course/view.php?id=6859
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12. Course Outline/Schedule
● [Go over outline as in ASC]
● Labs will start next week (follow announcements on moodle to get started)
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13. Thanks
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