About the Program
The Industrial IoT and Smart Systems stack of course is meticulously designed for Electronics and Communication Engineering students, offering an in-depth design and development skills required for Information and Communication Technology (ICT). This comprehensive curriculum encompasses various critical aspects of ICT, including private 5G Network architectures, Embedded computing, Integration of the Internet of Things (IoT) and futuristic solution based on AI. Learners will emerge exceptionally well-prepared to conceptualize, implement, and proficiently manage modern businesses and organizations.
Courses
    Credits Semester
  • Industrial Applications of Microcontrollers - A Practice based approach 3 III
  • Cyber Physical Systems for industrial Applications 3 IV
  • Fundamentals of Microsoft Azure 3 V
  • Applied industrial IoT 3 V
  • Drone Technology and its Transformative Applications - A Practitioner's Perspective 3 VI
  • Artificial Intelligence and Edge Computing 3 VII
  • 5G Technology for Smarter and Secure Connectivity 3 VIII
    Credits Semester
  • Critical Thinking, Design Thinking, Leadership and Teamwork 3 I
  • Programming Fundamentals for Engineers 3 II
    Credits Semester
  • Critical Thinking, Design Thinking, Leadership and Teamwork 3 I
  • Career Readiness in Digital Era 3 VI
Mode of Delivery
  • Self-paced learning + Expert session (VILT) – 30 hours
  • Project work – 15 hours
  • Face-to-face instructor led sessions / VILT sessions (including project work) – 45 hours
Job Roles
  • Embedded Engineer
  • Field Test Engineer
  • Network Planning Engineer
  • Telecom Engineer
  • Embedded System Developer
  • R&D Engineer
  • Drone Engineer
Software Tools
  • Edsim51
  • Tinker CAD
  • Arduino IDE
  • Wokwi
  • ThingSpeak
  • Adafruit
  • Thonny IDE
  • WEKA
  • Cisco Packet Tracer
  • Jupyter NoteBook
  • Tiny ML
  • Embedded C
  • MicroPython
  • Open Air Interface (OAI)
  • Arduino UNO
  • ESP 8266
  • ESP 32
  • Nano 33 BLE Sense
  • Raspberry Pi Pico
  • DJI Mini 2
  • DIY KIT Drone
  • Drone Gimbal set
  • Arduino UNO
  • STM 32 Board
  • Raspberry Pi 4 Node B
Skills
  • Embedded Board I/O Configuration: Ability to configure sensors and actuators
  • Programming: Ability to code in Embedded C, MicroPython
  • API Interface: Ability to integrate sensor, Microcontroller and Wireless networks
  • Problem Solving: Ability to think in alignment with requirements and solve the problems
  • Design: Ability to use design tools to design modules of Drones and 5G Networks