CSED IIoT Programe

I take this opportunity to extend to you a warm welcome to the IIMT Group of Colleges, Greater Noida.




IIMT Group Of Colleges Greater Noida

IIOT PROGRAMS

DEPARTMENT PROGRAM
Smart Water Management System IIOT Foundation
Smart Generator Monitoring System Communication & Standard Interfaces
Smart Electric Vehicle (EV) Smart Industrial Connectivity
Descriptive Analytics for EV Data Analytics for IIOT
Predictive and Prescriptive Maintenance for EV Machine Learning for IIOT
Smart EV Monitoring with Deep Learning Artificial Intelligence for IIOT

1. IIOT FOUNDATION

IIMT Group Of Colleges Greater Noida
SCOPE
IIOT Designer
IIOT Developer
IIOT Analyst
IIOT Tester
Entrepreneur
PROJECTS
Smart Water Management System
Thingworx app development

OBJECTIVES

  • To learn the concepts of IIOT.
  • To identify the different technologies.
  • To learn different applications in IIOT.
  • To learn different protocols used in IIOT.
  • To learn the concepts of smart water management with IIOT.
  • To learn how to visualize the real time data in IIOT.

OUTCOMES

  • Apply the concepts of IIOT.
  • Identify the different technologies.
  • Apply IIOT to different applications using Thingworx.
  • Analysis and evaluate protocols used in IIOT.
  • Design and develop smart things in IIOT using Thingworx.
  • Analysis and evaluate the data received through sensors in IIOT.

2. COMMUNICATION & STANDARD INTERFACES

IIMT Group Of Colleges Greater Noida
SCOPE
IIOT Designer
IIOT Developer
IIOT Analyst
IIOT Tester
Entrepreneurship
Communication Engineer
PROJECTS
Smart Genset Monitoring System
Thingworx App Development

OBJECTIVES

  • Study the various communication protocols and networking.
  • Study the basic concepts of programming/ hardware/ emulator for ESP Controllers.
  • Understanding the real time requirement for Smart System Development.
  • Study the various server based communication models.
  • Build and test smart genset project successfully.
  • Improve the team building, communication and management skills of the students.

OUTCOMES

  • Identify the requirements for the real world problems.
  • Building mashup and widgets using Thingworx.
  • Study and enhance software/ hardware skills.
  • Demonstrate and build the project successfully by hardware requirements, coding, emulating and testing.
  • To report and present the findings of the study conducted in the preferred task.
  • Demonstrate an ability to work in teams and manage the conduct of the research study.

3. SMART INDUSTRIAL CONNECTIVITY

IIMT Group Of Colleges Greater Noida
SCOPE
Thingworx Developer
IIOT Entrepreneur
PROJECTS
Smart Electric Vehicle
Thingworx App Development
Database Management System

OBJECTIVES

  • To gain knowledge of different industrial protocols.
  • To learn designing of user interface using Thingworx platform.
  • To learn how to use intents to broadcast data within and between applications.
  • To use content providers and handle databases using MySQL/NoSQL
  • To discuss various security issues with Thingworx platform.

OUTCOMES

  • Study the Raspberry Pi with Linux operating system.
  • Implementing industrial protocols like GSM, GPS, RFID etc.
  • Use intents for activity and broadcasting data in Thingworx using REST ful API, EMS, KEPWARE.
  • Study the web services and properties.
  • Design and implement database application and content providers.
  • Real time asset monitoring of electrical vehicle.
  • Develop Thingworx App with various security features.

4. DATA ANALYTICS FOR IIOT

IIMT Group Of Colleges Greater Noida
SCOPE
Business Analyst
Product Analyst
Machine Learning Engineer
Data Scientist
PROJECTS
Smart Transportation

OBJECTIVES

  • This course will serve as a comprehensive introduction to various topics in Data Analytics.
  • Conceptualization and summarization of data pre-processing and data wrangling.
  • Representation of data and visualization of data with different techniques.
  • Descriptive analytics for industrial data.
  • Study the various Thingworx libraries.

OUTCOMES

  • At the end of the course the students should be able to design and implement machine learning solutions to classification, regression, and clustering problems; and be able to evaluate and interpret the results of the algorithms.
  • Ability to identify the characteristics of datasets and compare the trivial data and big data for various applications.
  • Ability to select and implement data analytics techniques and computing environment that are suitable for the applications under consideration.
  • Ability to solve problems associated with batch learning and online learning, and the big data characteristics such as high dimensionality, dynamically growing data and in particular scalability issues.

5. MACHINE LEARNING FOR IIOT

IIMT Group Of Colleges Greater Noida
SCOPE
Business Analyst
Product Analyst
Machine Learning Engineer
Data Scientist
PROJECTS
Predictive maintenance for Electrical Vehicle
Prescriptive maintenance for Electrical Vehicle

OBJECTIVES

  • To provide Big data computing environment: Analyse and configure a predictive maintenance Thingworx model that can be implemented into a production environment for real time streaming data.
  • To provide Machine learning techniques: Three phases of machine learning - Support vector machine, decision trees and random forests.
  • To provide Scaling up machine learning: Dimensionality reduction techniques, Principal component analysis and feature hashing.

OUTCOMES

  • Ability to understand and apply scaling up of machine learning techniques, associated computing techniques and technologies.
  • Ability to recognize and implement various ways of selecting suitable model parameters for different machine learning techniques.
  • Ability to integrate machine learning libraries, mathematical and statistical tools in Thingworx.

6. ARTIFICIAL INTELLIGENCE FOR IIOT

IIMT Group Of Colleges Greater Noida
SCOPE
AI Developer and AI Analyst
Data Scientist
PROJECTS
Smart City Project
Smart Electrical Vehicle

OBJECTIVES

  • To create appreciation and understanding the achievements of AI with the theory underlying those achievements.
  • To introduce the concepts of Thingworx AI and different type of Agents that can be designed to solve industrial problems.
  • To review the different stages of development in the field of AI from human behaviour to Rational Agents.
  • To impart basic proficiency in representing difficult real-life problems in a state space representation to solve using AI techniques.
  • To create an understanding of the basic issues of knowledge representation logic, blind & heuristic search, as well as an understanding of other topics such as minimal, resolution, etc. that play an important role in AI programs.
  • To introduce advanced topics of AI such as planning, bayes networks, natural language processing and cognitive computing.

OUTCOMES

  • Demonstrate knowledge of the building blocks of AI as presented in terms of intelligent agents.
  • Analyse and formalize the problem as a state space graph, design, heuristics and different search algorithms.
  • Develop intelligent algorithms for constraint satisfaction problems and Industrial Manufacturing Processes.
  • Attain the capability to represent various real-life problems domains using logic-based techniques to perform inference or planning.
  • Formulate and solve problems with uncertain information using Bayesian approaches.

Aim For Excellence