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 |
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