AI Inspire@Class 8:

Announcement:

AI course for students of classes 8 and 9: 

The first delivery of this course began on Saturday 6th April 2019. We have 2 concurrently running Whatsapp groups, one of which is full with 256 members and the other has about 156 members.


Inspirational AI@class 8:

CBSE has suggested a 12 hour learning intervention, for all students at class 8. 

And 112 hours learning intervention ( including 70 hours on the Python Programming language, 12 hours of the inspire module) and another 30 hours of AI excitement, as an elective skill ( not academic) subject 

We propose to call that module :

“ Exciting AI@class 9)” which will be offered from July 2019. 

The objective of this module/curriculum is to develop a readiness for understanding and appreciating Artificial Intelligence and its application in our lives.

Since CBSE refers to this as an inspirational course, every session will have an inspirational quote about AI and allied Technologies. It will also have a brief inspirational message from great thought leaders related to life-skills and values especially for the future in the 21st century. These messages will become briefer as the course progresses. The message for Session 1 will be in 12 words, the one for session 2 in 11 words, then 10,9,8,7,6,5,4,3,2 and finally in just one word. 

The content for each Whatsapp post will comprise text ( ~ 800 words) and a short video/ audio. 

The total transaction time for each Whatsapp post will be about 20 minutes. The total time by the student during each session will be about an hour, but with breaks allowing for ‘spacing’ of learning and also use of multiple media types to make learning more engaging.

Several activities along the lines indicated in the CBSE curriculum will be included in each cohort to encourage imagination, collaboration, communication and exploration. 

The first batch ( cohort) is on  offer during the four weekends of April and the first two of May in 2019.

A proposed schedule is : Session 1 on Saturday 6th April 2019, Session 2 on Sunday 7th April 2019, Session 3 on Saturday 13th April 2019, Session 4 on Sunday 14th April 2019, Session 5 on Saturday 20th April 2019, Session 6 on Sunday 21st April 2019, Session 7 on Saturday 27th April 2019, Session 8 on Sunday 28th April 2019, Session 9 on Saturday 4th May 2019, Session 10 on Sunday 5th May 2019, Session 11 on Saturday 11th May 2019, and the final session Session 12 on Sunday 12th May 2019.

We encourage School students who have moved from class 7 to class 8 or class 8 to class 9 so that they can be ready for AI right when the new session begins in April 2019 through Whatsapp on mobiles. 

Those students who are in class 9, but may not want to take the Exciting AI and Python, will also benefit from this course as they will not be left behind their junior students who would be getting this exposure. They may not pursue career opportunities in AI but will be well positioned for careers with AI. 

The program begins with capturing the present buzz about AI, and sharing the narrative on how it got this way. This is followed by introducing Computational Thinking an idea mooted by Jeanette Wing in 2008 and now accepted by large parts of the world as an essential competence for future readiness. r pursuit of AI. The 4th and 5th session cover AI exploration and AI imagination respectively. The 6th,7th and 8th session are devoted to Internet of Things, natural language processing and computer vision. 

The 9th session explains Deep Learning, which is the most common and versatile AI application. Today the most versatile tool in the AI armour is Deep Learning with almost universal applicability. The 10th session is about the globally important concern of sustainable development and the role of AI in it. 

The second last session no.11 addresses concerns of ethics, sources of bias and methods for their mitigation, while the last 12th session throws up the various new opportunities for persons with AI competencies. It describes the attributes and competencies expected of an AI Professional, and what educational path to follow to be an accomplished AI professional. 

This is the tentative outline of the topics to be addressed in each of the 12 sessions of the program:

Session 1: Why the buzz about AI?

1.1@3pm: AI is all around us

1.2@3:30pm: Future expectations from Artificial Intelligence

1.3@4pm: How do machines learn? 

Session 2: AI today

2.1@3pm: A short history of Artificial Intelligence 

2.2@3:30pm: Artificial Intelligence and its applications in daily life.

2.3@4pm: Human-AI interaction

Session 3: Computational Thinking

3.1@3pm: What is Computational Thinking

3.2@3:30pm : Decomposition and Pattern Recognition 

3.3@4pm : Algorithms and evaluation

Session 4: AI exploration:

4.1@3pm: Inspirational AI start-ups 

4.2@3:30pm: Explore application of Artificial Intelligence in their daily lives.

4.3@4pm: Explore trends and  potential of AI in a given context

Session 5: AI and imagination: 

5.1@3pm: A letter to your future self

5.2@3:30pm: An imaginary conversation with some (5) AI pioneers : Alan Turing, Geoffrey Hunt, Ian Goodfellow, Marvin Minsky, Herbert Simon

5.3@4pm: A debate about good AI versus bad AI

Session 6: IoT and AI

6.1@3pm: Smart Cities 

6.2@3:30pm: Smart Homes

6.3@4pm: Smart Schools

Session 7: Natural Language Processing: 

7.1@3pm: Speech generation

7.2@3:30pm: Speech Recognition 

7.3@4pm: Chatbots 

Session 8: Computer Vision

8.1@3pm:Object Recognition 

8.2@3:30pm:Face Recognition

8.3@4pm:Image recognition

Session 9: Deep Learning:

9.1@3pm: About the human brain and the Central Nervous System

9.2@3:30pm: Artificial Neural Networks

9.3@4pm: Applications of Deep Learning

Session 10: AI and sustainable development goals 

10.1@3pm: What are the SDGs?

10.2@3:30pm: AI for human happiness 

10.3@4pm: Responsible Citizenship

Session 11: AI and ethics 

11.1@3pm: Bias: in data collection 

11.2@3:30pm: Bias : Why it occurs and how to reduce it

11.3 @4pm: Bias : in access

Session 12: A bright  future with AI

12.1@3pm: Opportunities in AI and Machine Learning 

12.2@3:30pm: Attributes of an AI Practitioner : communication and collaborative skills 

12.3@4pm: The education and skills set of an AI Practitioner

The details may be tweaked somewhat during the actual delivery of the program. 

The entire program is designed, developed and delivered by Professor MM Pant ( mmpant.com and mmpant.net). 

Programs in AI for School children have been under consideration for about 2 years, shortly after Professor Klaus Schwab in January 2016 at the World Economic Forum drew attention to the arrival of the 4th Industrial Revolution led by Artificial Intelligence and allied Technologies, in a convergence of the Physical world, the Information world and the biological world.

To seek any clarification or for further information, please send a Whatsapp message to Prof. MM Pant ( www.mmpant.net or mmpant.com) at +919810073724. 

There is still time to join this first cohort of this new innovative program. Please send a Whatsapp message to Prof MM Pant at +919810073724




Session 5: The Landscape of AI:

5.1: The Turing Machine

5.2: Rule Based Expert Systems

5.3: Swarm Intelligence

5.4: Narrow Intelligence and Artificial General Intelligence

Session 6: Other allied Technologies

6.1: Sensor Technologies

6.2: Internet of Things

6.3: Blockchain

6.4: Augmented and Virtual Reality

Session 7: Classifiers:

7.1: What are classifiers?

7.2: How do they work?

7.3: Spam filters

7.4: Identifying fake news

Session 8: Other tools

8.1:Predictor Systems

8.2:Speech Recognition

8.3:Image recognition

8.4:Chatbots

Session 9: Machine Learning :

9.1: What are learning algorithms?

9.2: Examples of Machine Learning Applications

9.3: Popular Machine Learning Algorithms

9.4: Limitations of Machine Learning

Session 10: Deep Learning:

10.1: About the human brain and the Central Nervous System

10.2: Artificial Neural Networks

10.3: Types of Artificial Neural Networks

10.4: Applications of Deep Learning