1. IoT BASIC INTRODUCTION

OBJECTIVES

• To learn the concepts of IOT.
• To identify the different technology.
• To learn different applications in IOT.
• To learn different protocols used in IOT.
• To learn the concepts of smart city development in IOT.
• To learn how to analysis the data in IOT

OUTCOMES

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

SCOPE

• IIOT Designer,
• IIOT Developer,
• IIOT Analyst,
• IIOT Tester
• Entrepreneurship

PROJECTS

• Develop mini IoT Project
• LDR based Darkness activation system
• Home Security Alarm System Using Arduino
• Arduino Alarm Clock
• Portable Ultrasonic Range Meter

2. COMMUNICATION & STANDARD INTERFACES

OBJECTIVES

• Address the real world problems and find the required solution.
• Design the problem solution as per the requirement analysis done.
• Study the basic concepts of programming/ hardware/ emulator for Raspberry pi/Arduino.
• Fabricate and implement the mini project intended solution for project based learning.
• Build and test the mini 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

SCOPE

• IIOT Designer,
• IIOT Developer,
• IIOT Analyst,
• IIOT Tester
• Entrepreneurship

PROJECTS

• Smart Dustbin based
• Obstacle Avoiding Robot
• Keypad Security for Home Automation

3. SMART INDUSTRIAL CONNECTIVITY

OBJECTIVES

• To gain knowledge of installing Android Studio and Cross Platform Integrated Development Environment.
• To learn designing of User Interface and Layouts for Android App.
• To learn how to use intents to broadcast data within and between Applications.
• To use Content providers and Handle Databases using SQLite.
• To introduce Android APIs for Camera and Music system.
• To discuss various security issues with Android Platform.

OUTCOMES

• Experiment on Integrated Development Environment for Android Application Development.
• Design and Implement User Interfaces and Layouts of Android App.
• Use Intents for activity and broadcasting data in Android App.
• Design and Implement Database Application and Content Providers.
• Experiment with Camera and music systems.
• Develop Android App with Security features.

SCOPE

• Android Developer and Android Tester
• Entrepreneurship

PROJECTS

• Smart Genset
• Smart Street Light

4. DATA SCIENCE AND ANALYTICS

OBJECTIVES

• This course will serve as a comprehensive introduction to various topics in machine learning.
• Conceptualization and summarization of big data and machine learning, trivial data versus big data, big data computing technologies, machine learning techniques, and scaling up machine learning approaches.
• To provide Conceptualization and summarization: Representation of data. Modeling of machine learning techniques. Application of big data computing technologies.
• To provide Trivial data versus Big data: Representation learning. Publicly available datasets. Scalability and Scaling up techniques. Report writing using Latex.

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 machine learning tech
• niques 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.

SCOPE

• Business Analyst,
• Product Analyst,
• Machine Learning Engineer,
• Data Scientist

PROJECTS

• Smart Transportation

5. MACHINE LEARNING

OBJECTIVES

• To provide Big data computing environment: Modern data analytics technologies like Hadoop and MapReduce. Suitable programming languages like Python, Java and C. Big data friendly machine learning scikit-learn libraries. Software platforms like Matlab or R.
• To provide Machine learning techniques: Three phases of machine learning. types of learning support vector machine. decision trees and random forests. deep learning.
• To provide Scaling up machine learning: Dimensionality reduction techniques like principal component analysis and feature hashing. Online processing technique called stochastic gradient descent. Big data machine learning models.

OUTCOMES

• Ability to understand and apply scaling up machine learning techniques and 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 and mathematical and statistical tools with modern technologies like hadoop and mapreduce.

SCOPE

• Business Analyst
• Product Analyst
• Machine Learning Engineer
• Data Scientist

PROJECTS

• Smart Manufacturing

6. ARTIFICIAL INTELLIGENCES

OBJECTIVES

• To create appreciation and understanding of both the achievements of AI and the theory underlying those achievements.
• To introduce the concepts of a Rational Intelligent Agent and the different types of Agents that can be designed to solve problems
• To review the different stages of development of the AI field from human like behavior to Rational Agents.
• To impart basic proficiency in representing difficult real life problems in a state space representation so as to solve them 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.
• Analyze and formalize the problem as a state space, graph, design heuristics and select amongst different search.
• Develop intelligent algorithms for constraint satisfaction problems and also design intelligent systems for Game Playing
• Attain the capability to represent various real life problem domains using logic based techniques and use this to perform inference or planning.
• Formulate and solve problems with uncertain information using Bayesian approaches.
• Apply concept Natural Language processing to problems leading to understanding of cognitive computing.

SCOPE

• AL Developer and AI Analyst
• Data Scientist

PROJECTS

• Smart City Project

PROJECTS UNDER IIoT

• Access control to restricted areas and detection of people in non-authorized areas.
• Asset indoor location by using active (ZigBee) and passive tags (RFID/NFC).
• Assistance for elderly or disabled people living independent.
• Cold Chain Monitoring and Smart Tracking
• Control micro-climate conditions to maximize the production of fruits and vegetables and its quality.
• Control of CO2 emissions of factories, pollution emitted by cars and toxic gases generated in farms.
• Control of conditions inside freezers storing vaccines, medicines and organic elements.
• Control of rotation of products in shelves and warehouses to automate restocking processes.
• Control of routes followed for delicate goods like medical drugs, jewels or dangerous merchandises.
• Control remotely the swimming pool conditions.
• Control the exact conditions of plants grown in water to get the highest efficiency crops.
• Detect leakages and wastes of factories in rivers.
• Detection of gas levels and leakages in industrial environments, surroundings of chemical factories and inside mines.
• Detection of windows and doors openings and violations to prevent intruders.
• E-Health Sensor Platform for Biometric and Medical applications.
• E-Health: Low Cost Sensors for Early Detection of Childhood Disease
• Energy and water supply consumption monitoring to obtain advice on how to save cost and resources.
• Energy consumption monitoring and management.
• Environmental monitoring by Public Transportation.
• Information collection from Can Bus to send real time alarms to emergencies or provide advice to drivers.
• Intelligent and weather adaptive lighting in street lights
• Intelligent Highways with warning messages and diversions according to climate conditions and unexpected events like accidents or traffic jams.
• Liquid detection in data centers, warehouses and sensitive building grounds to prevent break downs and corrosion.
• Measurement of water pressure in water transportation systems.
• Monitoring and optimization of performance in solar energy plants.
• Monitoring greenhouse conditions to develop new products in the food industry.
• Monitoring of combustion gases and premptive fire conditions to define alert zones.
• Monitoring of conditions inside museums and art warehouses.