NS03IOT : Internet of Things (IoT) Assistant

Course

:

Internet of Things (IoT) Assistant

Code

:

NS03IOT

Starting Date

:

23 October, 2024

Last Date To Apply

:

06 October, 2024

Course Coordinator

:

Akula Sri Rama Pavan / Manoj, Ph:8904310403 / 9446783170 

Course Preamble

The “Internet of Things (IoT) Assistant” course immerses students in the rapidly evolving field of IoT, providing a comprehensive foundation in fundamental electronics and practical IoT applications. By balancing theoretical instruction with hands-on laboratory experiences, students will gain proficiency in identifying and troubleshooting basic electronic components, understanding microcontrollers and IoT ecosystems, and programming and interfacing with Arduino platforms. This course equips students with the skills to design, implement, and troubleshoot basic electronic circuits and IoT-based projects such as intelligent street lighting, home automation systems, and password-enabled digital locks. By the end of the course, students will be prepared for advanced study or careers in electronics and IoT development, ready to contribute to the growing field of IoT and bring innovative solutions to modern technological challenges.

Course Objective

The objective of the “Internet of Things (IoT) Assistant”, course is to provide students with a comprehensive foundation in both fundamental electronics and the practical application of Internet of Things (IoT) concepts. Through a balanced mix of theoretical instruction and hands-on laboratory experiences, students will gain proficiency in identifying and troubleshooting basic electronic components, understanding microcontrollers and IoT ecosystems, and programming and interfacing with Arduino platforms. By the end of the course, students will be equipped with the skills to design, implement, and troubleshoot basic electronic circuits and IoT-based projects, such as intelligent street lighting, home automation systems, and password-enabled digital locks, thereby preparing them for advanced study or careers in electronics and IoT development.

Course Outcome

By the end of the "Internet of Things (IoT) Assistant" course, students will be proficient in identifying and troubleshooting basic electronic components, understanding microcontrollers and IoT ecosystems, and programming and interfacing with Arduino platforms. They will be capable of designing and implementing IoT-based projects such as intelligent street lighting, home automation systems, and password-enabled digital locks. Additionally, students will develop the skills to diagnose and resolve issues in IoT systems, effectively applying theoretical knowledge to practical scenarios. These competencies will prepare them for advanced study or careers in electronics and IoT development, equipping them to contribute to the growing field of IoT with innovative solutions.

Course Structure

Sl. No

Module Title

Duration (Hours

Credit

Theory

Lab

Total

 

1

NOS 1: Identification and troubleshooting of Basic Electronics components

20

40

60

2

2

NOS 2: Conceptualising IoT Platform - Arduino

50

70

120

4

3

NOS 3: Conceptualising IoT based use-cases

20

40

60

2

 

Sub total (A)

90

150

240

8

4

Employability Skills (B)

30

1

5

OJT/Project* (C)

30

1

 

Total Duration/Credit

300

10

Course Contents

NOS1: Identification and troubleshooting of Basic Electronics components

  • Identification of electronics components
  • Understanding the Fundamentals of basic electronics
  • Troubleshooting of electronics components
  • Understanding the operation of measurement devices

NOS2: Conceptualising IoT Platform – Arduino

  • Introduction to microprocessor and micro controller
  • Introduction to Internet of Things(IoT) – applications, protocols, use cases
  • Introduction to Arduino
  • Embedded C Language
  • Interfacing of sensors and actuators with Arduino Boards

NOS3: Conceptualising IoT based use cases

  • Smart Street Light control
  • Home automation using Arduino
  • Password enabled Digital Lock using Arduino

Course Fee Structure:

Fees

*Amount for General

Candidates

Amount for SC/ST Candidates. (considered as caution/security deposit)

Due Date (on or before)

Registration Fee

Rs.1,000/-

Rs.500/-

During Registration

**Advance Fee/Caution deposit

Rs. 1,000/-

Nil

14/10/2024

(counselling day)

Course Fee 

Rs. 9,652/-

 

Nil 

NSQF Registration & Exams Fee

Included in the Course fee

Rs. 1,652/- (Refundable on successful completion of course on first attempt)

Total Fee

Rs. 11,652/-

Nil

 

*The above fees is inclusive of CGST 9% and SGST 9%, and revision, if any by the Government shall be applicable at the time of payment.

# Fine will be applicable for late fee payment.

** Advance fee - After publication of the first selection list, the students in the first selection list have to pay the Advance Deposit within the due date to take the provisional admission. Students in the additional selection list should pay both the Advance and course fees together on or before counseling day. The registration fee will be added to the caution deposit/course fee if the candidate takes provisional admission.

Modular wise Course Fee: Not Applicable for this course

If the student does not join for the registered course / any of the registered courses, fee paid shall be forfeited.

However above the registration fee shall be refunded on few special cases as given below 

  • Course postponed and new date is not convenient for the student 
  •  Course cancelled in advance, well before the admission date

Eligibility: Any one of the following

  • Grade 10th Pass
  • Grade 8th Pass with 2 Years of NTC/NAC after 8th
  • Grade 8th Pass with 2 years of relevant experience

Important Dates

Last date for applying: 06-10-2024

Selection intimation through mail/website: 08-10-2024 (after 2 PM)

Certificate Verification/Admission (online mode): 14-10-2024

More Details

For further information if any, you may Contact the Course Coordinator: Akula Sri Rama Pavan / Manoj, Ph:8904310403 / 9446783170 

Click here for General Terms and Conditions – Applicable to all courses  

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