11 CBSE

Vocational Course: Code 843 | Skill Education Incorporates

NEP 2020

Includes Part A: Employability Skills Part B: Subject Specific Skills Part C: Practical Work

11 CBSE

Vocational Course: Code 843 | Skill Education

This book belongs to ................................................................................................. ....................

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Meenu Kumar HOD (Comp. Sc.) Venkateshwar International School, Delhi

Published by:

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PREFACE “A year spent in artificial intelligence is enough to make one believe in God.” — Alan Perlis Artificial Intelligence is the most talked about subject and we all understand that the future lies in knowing it well. The Touchpad AI series is written keeping in mind about the future and scope that lies in AI. The knowledge is spread in a phased manner so that at no age the kid finds it difficult to understand the theory. Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, AI in Life, AI Lab, AI Game and AI Ready which ensures that NEP 2020 guidelines are followed. There are some brainstorming activities in the form of AI Task in between the topics to ensure that students give pause to their learning and use their skills to reach to some creative ideas in solving given problems. Every chapter has competency based questions as guided by CBSE to ensure that students are capable of applying their learning to solve some real-life challenges. There are plenty of Video Sessions for students and teachers to go beyond the syllabus and enrich their knowledge. I begin with thanking God, not everyone is blessed with such a great opportunity to fulfil their dreams! I am extremely grateful for the support provided by VIS management and my Principal, Dr. Manisha Sharma, my family and friends who supported me like a rock. I am also thankful to Ms. Smitha R Athreya (DPS Rourkela), for her help in the storytelling unit and Ms. Rashi Jain Bhatia (VIS Dwarka) for helping with the Statistics portion. We are sure that this book will prove to be a tool in making the students future ready for Artificial Intelligence. Wishing learners great success in future endeavours. Enjoy the journey of happy learning!! All your feedback and suggestions will always be wholeheartedly welcome to improve and grow.

— Author

INSIDE THE SERIES The key features of the series have been designed to ensure better learning and assessment.

Learning Resources Learning Outcomes: It provides an overview of the unit/chapter contents.

At a Glance: This section provides a summary of the chapter.

Learning Outcomes • Communication—An Introduction

• 7Cs of Communication

• Factors Affecting Communication

• Methods of Communication

• Communication Styles

• Basics of Pronunciation

• Parts of Speech

• Greetings

• Asking Questions

• Discussing Family

At a Glance

• Habits and Routines

AI Game: It contains an interesting game or activity for the students to try on their own or with their classmates to learn how the game mechanics work while having fun. GAME

01

Auto Draw

rning eriential Lea

•

Analysing your strengths and weaknesses is helpful.

•

An analysis of strengths and weaknesses begins with knowing and understanding yourself first.

•

Values are the principles or standards of action; your own judgment about what is important in your life.

•

Knowing ‘yourself’ means you understand who you are, what you like or do not like, what your beliefs or opinions are, what is your background, what you are good or bad at.

•

Strength or ability is what you do well and are good at.

•

Weakness, also known as "area for improvement" is what you don't do well and what you're not good at.

•

Grooming is the process of giving oneself a neat, orderly and clean appearance.

•

The way you dress and groom can send a message that you are a confident and smart person.

•

Personal hygiene is the habit or practice of keeping clean.

•

Cleanliness helps us maintain our health and spirit.

•

A team is a group of people who work together to achieve a common goal.

•

Networking means getting to know people, staying in touch over time and using knowledge or skills to help each other.

•

Self-motivation is what drives us to achieve our goals, makes us feel happy and improve the quality of our lives.

•

Goals are a set of dreams with an achievable deadline.

•

Goal setting is finding and listing your goals and then planning how to achieve them.

•

Time management is the ability to plan and control how you spend your time well and do whatever you want.

Exp

This experiment is based on the computer vision domain of AI. It identifies the patterns that you draw and suggests the related images. To play the game, visit the following link on any computing device with speakers: https://www.autodraw.com/ Click on the Start Drawing button. Select the AutoDraw tool from the toolbar at the left side and draw an object. Suppose, you want to draw a bicycle. The experiment displays the suggestions according to your drawn object at the top of the screen. The AI technology used in this experiment will give you the suggestions.

Video Session: This section contains a link of the video related to the topic for better understanding of the concept. l Learning

Experientia

Video Session Scan the QR code OR visit the following link to watch the video: The Power of Teamwork

AI Glossary: This section contains definition of important AI terms.

https://www.youtube.com/watch?v=4duPBWzf46E After watching the video, answer the following question: What do you understand from this video?

Benefits of Teamwork

F Chatbot: It is an AI application that can mimic a real conversation with a user in their natural language.

F Natural Language Processing (NLP): It is an area of artificial intelligence that employs natural

AI Innovators: It presents information about the pioneers in the field of AI.

language for interaction between computers and humans.

F Sentiment Analysis: It is also called Opinion Mining or Emotion AI, uses NLP to determine whether data is positive, negative, or neutral.

Engage all team members in conversations, ideas, etc.

Jürgen Schmidhuber Schmidhuber is a German national and he is the

Brainy Fact: It presents an interesting fact relevant to the topic or the chapters. Brainy Fact

The Turing Test This test includes three players in which one player is a human, another player is a computer, and the third player is a human judge. The judge is isolated from the other two players and his responsibility is to find which player is a machine among the two of them.

co-founder and chief scientist of Nnaisense. He is known as the “Father of Self-Aware Robots” for developing the mechanisms that allow us to communicate to our phones. At present his research is mainly centered at developing artificial neural networks that are equivalent to, and eventually surpass, the human brain. Jürgen Schmidhuber

Assessment Resources AI Task: It provides an activity to the students allowing them to research and learn new things.

AI Reboot: It presents questions to the students to access their current progress in the ongoing topic. Reboot

Task

What are the three main elements of a data storytelling?

Check out the website https://lipsync.withyoutube.com/ An AI-powered challenge that rates how closely your lip-syncing matches the song! This experiment uses Google’s AI technology TensorFlow.js. The TensorFlow model provides a real-time high-density estimate of key points of your facial expression using only a webcam. Through machine learning in your browser, the key points around the mouth and lips are analysed to estimate how well you synchronize to the lyrics of the song!

AI Quiz: It contains MCQs for the students to test and improve their mental dexterity.

AI in Life: It presents questions that promotes the moral growth and experiential learning.

Tick ( ) the correct option. 1.

Which one of the following is a rectangular arrangement of numbers?

2.

a. Sets

b. Matrix

c.

d. Scalar

Vector

In Life

What measure of central tendency is calculated by adding all the values and dividing the sum by the number of values? a. Median

b. Mean

c.

d. Typical value

Mode

in the Fashion Industry.

AI Deep Thinking: It presents a question/scenario in which the students are required to think deeply and apply their knowledge.

Exercise Solved Questions

Deep Thinking

Fill in the blanks. 1.

are an organised collection of objects and can be represented in capital letters.

2.

A

3.

The fit for a data set.

4.

We need samples.

Critical

Thinking

Discuss about the possible negative consequences of AI becoming more empowered than humans as shown in the movie 'Upgrade."

is defined as a list of numbers in one-dimensional form. method is a form of mathematical regression analysis used to determine the line of best to help turn observations into information and answer questions about observation

AI Lab: It contains questions that helps the students to improve their practical skills.

AI Ready: It contains an assessment for the students to analyse their progress towards acquired AI-readiness skills.

Ready

iplinary

Inter-Disc

Lab

Collect data from atleast 20 students on “Daily Time spent on Netflix/Mobile Gaming”. Arrange in a tabular form as follows.

3

Student Name

No. of hours

A

3

Read the information given on website

B

5

https://www.analyticsvidhya.com/blog/2021/07/12-matrix-operations-you-should-knowwhile-starting-your-deep-learning-journey/

C

2

D

10

After reading the information, answer the following questions: 1.

& Values

thrown away. This leads to wastage of resources. Find out whether AI can help curtail/limit the wastage occurring

Exercise: It contains a variety of questions to assess the concepts taught in the unit/chapter.

A.

Life Skills

The Fashion Industry produces more clothes than required every year. As a result, the excess clothes have to be

We have studied scalar, vector and matrix. What is tensor? ……………………….……………………….…….…………………………….……………………….……………………….……………………………………….. ……………………….……………………….…….…………………………….……………………….……………………….………………………………………..

Projects: It helps the students work outside the classroom environment while improving their practical skills.

(Hints for Part D)

1.

Organize a 'Design Marathon' with your classmates in school. Using the Design Thinking methodology, develop a solution to an everyday problem. Create the prototype using waste material if possible.

___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________ ___________________________________________________________________________________________________________

CBSE AI Curriculum For Class 11 ARTIFICIAL INTELLIGENCE (SUBJECT CODE 843) CLASS-XI

Total Marks: 100 (Theory-50 + Practical-50)

COURSE OVERVIEW AI is a discipline in computer science that focuses on developing intelligent machines, machines that can learn and then teach themselves. These machines, then, can process vast amounts of data than humans can, and several times faster. However, AI can go across all disciplines to change the world for the better– from creating new healthcare solutions, to designing hospitals of the future, improving farming and our food supply, helping refugees acclimate to new environments, improving educational resources and access, and even cleaning our oceans, air, and water supply. The potential for humans to improve the world through AI is endless, as long as we know how to use it.

OBJECTIVES OF THE COURSE In this course, the students will develop knowledge, skills and values to understand AI and its implications for our society and the world and to use AI to solve authentic problems, now and in the future. The students will engage with a host of multi-media online resources, as well as hands-on activities and sequence of learning experiences. The following are the main objectives of the course: 1.

Develop informed citizens with an understanding of AI and the skills to think critically and knowledgeably about the implications of AI for society and the world.

2.

Develop engaged citizens with a rigorous understanding of how AI can be harnessed to improve life and the world we live in.

3.

Stimulate interest and prepare students for further study to take up careers as AI scientists and developers to solve complex real world problems.

(vi)

SCHEME OF UNITS This course is a planned sequence of instructions consisting of units meant for developing employability and vocational competencies of students of Class XI opting for skill subject along with other education subjects. The unit-wise distribution of hours and marks for class XI is as follows: NO. OF HOURS for Theory and Practical

UNITS

MAX. MARKS for Theory and Practical

PART A

Employability Skills Unit 1: Communication Skills-III

10

Unit 2: Self-Management Skills-III

10

Unit 3: ICT Skills-III

10

Unit 4: Entrepreneurial Skills-III

15

Unit 5: Green Skills-III

05 Total

50

10

10

PART B

Subject Specific Skills Unit 1: Introduction to AI

30

Unit 2: AI Applications & Methodologies*

30

Unit 3: Maths for AI

10

Unit 4: AI Values (Ethical Decision Making)

5

Unit 5: Introduction to Storytelling*

20

Unit 6: Critical & Creative Thinking*

5

Unit 7: Data Analysis (Computational Thinking)*

30

Unit 8: Regression

30

Unit 9: Classification & Clustering

20

Unit 10: AI Values (Bias Awareness)* *Unit 2, 5, 6, 7 & 10 are to be Assessed through Practicals Only

30

Total

210

40

40

Practical Work Unit 2: AI Applications & Methodologies

PART C

Unit 5: Introduction to Storytelling Unit 6: Critical & Creative Thinking Unit 7: Data Analysis (Computational Thinking) Unit 10: AI Values (Bias Awareness) Practical Examination

40

Viva Voce Total

40

PART D

Project Work/Field Visit Project/Ideation+ presentation

10

Viva-Voce Total Grand Total

10 260

(vii)

100

PART-B: SUBJECT SPECIFIC SKILLS Level 1: AI Informed (AI Foundations) Unit 1: Unit 2: Unit 3: Unit 4: Unit 5:

Introduction to AI AI Applications & Methodologies* Math for AI AI Values (Ethical Decision Making) Introduction to Storytelling*

Level 2: AI Inquired (AI Apply) Unit 6: Critical & Creative Thinking* Unit 7: Data Analysis (Computational Thinking)* Unit 8: Regression Unit 9: Classification & Clustering Unit 10: Ai Values (Bias Awareness)* NOTE: *UNITS 2, 5, 6, 7 & 10 SHOULD BE ASSESSED IN PRACTICAL EXAMINATION ONLY AND SHOULD NOT BE ASSESSED IN THEORY EXAMINATION.

EMPLOYABILITY SKILLS Unit

Learning Outcome

SELF - MANAGEMENT SKILLS – III

COMMUNICATION SKILLS – III

1.

Theory

Demonstrate knowledge of various methods of communication

1.

2.

I dentify specific communication styles

3.

1.

Practical (5 Periods)

Methods of communication Verbal Non-verbal Visual

1.

1.

Communication styles- assertive, aggressive, passive-aggressive, submissive, etc.

1.

Demonstrate basic writing skills

1.

Writing skills to the following: Sentence Phrase Kinds of Sentences Parts of Sentence Parts of Speech Articles Construction of a Paragraph

1.

Demonstration and practice of writing sentences and paragraphs on topics related to the subject

Demonstrate impressive appearance and grooming

1.

Describe the importance of dressing appropriately, looking decent and positive body language Describe the term grooming Prepare a personal grooming checklist Describe the techniques of self- exploration

1.

Demonstration of impressive appearance and groomed personality Demonstration of the ability to selfexplore

Describe the important factors that influence in team building Describe factors influencing team work

1.

Meaning and importance of time management – setting and prioritizing goals, creating a schedule, making lists of tasks, balancing work and leisure, using different optimization tools to break large tasks into smaller tasks.

1. 2. 3.

2.

2.

2. 3. 4. 2.

Demonstrate team work skills

1. 2.

3.

Apply time 1. management strategies and techniques

(viii)

2.

2.

Writing pros and cons of written, verbal and non-verbal communication Listing do’s and don’ts for avoiding common body language mistakes Observing and sharing communication styles of friends, teachers and family members and adapting the best practices Role plays on communication styles.

Group discussion on qualities of a good team Group discussion on strategies that are adopted for team building and team work Game on time management Checklist preparation To-do-list preparation

Unit

Learning Outcome

ICT SKILLS – III

1.

2.

1.

Create a document on word processor

Edit, save and print a document in word processor

Describe the significance of entrepreneurial values and attitude

Theory 1.

Introduction to word processing.

2.

Software packages for word processing.

3.

Opening and exiting the word processor.

4.

Creating a document

Practical (5 Periods) 1.

Demonstration and practice of the following: Listing the features of word processing Listing the software packages for word processing Opening and exit the word processor Creating a document

1.

Demonstration and practicing the following: Editing the text Word wrapping and alignment Changing font type, size and face Inserting header and footer Removing header and footer Using autocorrect option Insert page numbers and bullet Save and print a document

1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.

Editing text Wrapping and aligning the text Font size, type and face. Header and Footer Auto correct Numbering and bullet Creating table Find and replace Page numbering. Printing document. Saving a document in various formats.

1. 2.

Values in general and entrepreneurial values 1. Entrepreneurial value orientation with respect to innovativeness, independence, outstanding 2. performance and respect for work

2. 3. 4.

ENTREPRENEURIAL SKILLS- III

3.

2.

Demonstrate the knowledge of attitudinal changes required to become an entrepreneur

1. 2. 3. 4. 5. 6. 7. 8.

Attitudes in general and entrepreneurial attitudes Using imagination/ intuition Tendency to take moderate risk Enjoying freedom of expression and action Looking for economic opportunities Believing that we can change the environment Analyzing situation and planning action Involving in activity

1.

2.

3. 4. 5.

GREEN SKILLS – III

1.

Describe importance 1. of main sector of green economy 2.

2.

Describe the major green Sectors/Areas and the role of various stakeholder in green economy

1. 2.

Main sectors of green economy- E-waste management, green transportation, renewal energy, green construction, water management Policy initiatives for greening economy in India Stakeholders in green economy Role of government and private agencies in greening cities, buildings, tourism, industry, transport, renewable energy, waste management, agriculture, water, forests and fisheries

(ix)

1. 2.

1.

Listing of entrepreneurial values by the students. Group work on identification of entrepreneurial values and their roles after listing or reading 2-3 stories of successful entrepreneur. Exhibiting entrepreneurial values in Ice breaking, rapport building, group work and home assignments. Preparing a list of factors that influence attitude in general and entrepreneurial attitude Demonstrating and identifying own entrepreneurial attitudes during the following micro lab activities like thematic appreciation test Preparing a short write-up on “who am I” Take up a product and suggest how its features can be improved Group activity for suggesting brand names, names of enterprises, etc. Preparing a poster on any one of the sectors of green economy Writing a two-page essay on important initiatives taken in India for promoting green economy Preparing posters on green Sectors/ Areas: cities, buildings, tourism, industry, transport, renewable energy, waste management, agriculture, water, forests and fisheries

SUBJECT SPECIFIC SKILLS Unit

Topics

Learning Outcomes Knowledge – Define AI and ML

Introduction-AI for everyone What is AI? o

Comprehension – What are the AI products/applications in

Kids can AI

society and how are they different from non-AI products/

History of AI

applications?

INTRODUCTION TO AI

What is Machine Learning? o

Difference between conventional programming and machine learning

o

How is Machine learning related to AI?

Evaluation – What kind of jobs may appear in the future?

What is data? o

Structured

o

Unstructured

o

Examples of unstructured data- text, images

Terminology and Related Concepts Intro to AI o

Machine learning

o

Supervised learning (examples)

o

Unsupervised learning (examples)

o

Deep learning

o

Reinforcement learning

o

Machine Learning Techniques and Training

o

Neural Networks

What machine learning can and cannot do More examples of what machine learning can and cannot do

AI APPLICATIONS AND METHODOLOGIES

Jobs in AI Key Fields of Application in AI

Knowledge – Where can AI be applied (like in the field of

o

Chatbots (Natural Language Processing, speech)

Computer vision, Speech, Text, etc.), What is deep learning?

o

Alexa, Siri and others

o

Computer vision

o

Weather Predictions

o

Price forecast for commodities

o

Self-driving cars

Comprehension – How AI will impact our society Analysis – How should we get ready for the AI age (future)

Characteristics and types of AI o

Data driven

o

Autonomous systems

o

Recommender systems

o

Human like

Cognitive Computing (Perception, Learning, Reasoning) Recommended deep-dive in NLP, CV, etc.* AI and Society The Future with AI, and AI in Action (Introduction)

MATHS FOR AI

Non-technical explanation of deep learning Introduction to matrices (Recap)

Comprehension – Linear Algebra, Statistics, Basics of Graphs

Introduction to set theory (Recap)

and Set theory

o

Introduction to data table joins

Application – Application of Math in AI

Simple statistical concepts Visual representation of data, bar graph, histogram, frequency bins, scatter plots, etc. With co-ordinates and graphs introduction to dimensionality of data Simple linear equation o

Least square method of regression

(x)

Synthesis – Representing data in term of mathematical formula

AI VALUES (ETHICAL DECISION MAKING)

UNIT

Topics

Learning Outcomes Knowledge – Ethics, Bias, Impacts of bias on society

AI: Issues, Concerns and Ethical Considerations Issues and Concerns around AI

Application – Spot issue in data, Make arguments, Apply

AI and Ethical Concerns

rules

AI and Bias AI: Ethics, Bias, and Trust Employment and AI Storytelling: communication across the ages o

Learn why storytelling is so powerful and cross-cultural, and what this means for data storytelling

The Need for Storytelling

Skill – Imagination, mapping the plot into key events increasing memory retention. Application- Helping in creating blogs, videos, and other content.

INTRODUCTION TO STORYTELLING

Story telling with data o

By the numbers: How to tell a great story with your data.

Conflict and Resolution

o

veryone wants to resolve conflict, and a good data E storyteller is there to help!

Storytelling for audience o

Your data storytelling depends on the background knowledge of your audience.

Insights from storytelling o

Make the audience care about the data

o

Keep the audience engaged

o

Create from the end; present from the beginning

o

Start with an anecdote, end with the data

o

Build suspense, not surprise Skill – Understanding the problem and being able to express the same Creativity – To be able to develop/innovate from design a solution

DATA ANALYSIS (COMPUTATIONAL THINKING)

CRITICAL & CREATIVE THINKING

Design thinking framework o

Right questioning (5W and 1H)

o

Identifying the problem to solve

o

Ideate

Knowledge – Types of structured data, statistical principals – frequency tables, mean, median, mode, range, etc.

Types of structured data o

Date and time

o

String

o

Categorical

Application – Representing data in terms of graphs, statistical models Synthesis – To be able to represent a simple problem in terms of numbers

Representation of data Exploring Data Exploring data (Pattern recognition) o

Cases, variables and levels of measurement

o

Data matrix and frequency table

o

Graphs and shapes of distributions

o

Mode, median and mean

o

Range, interquartile range and box plot*

o

Variance and standard deviation*

o

Z-scores*

o

Example

o

Practice exercise

(xi)

Knowledge – Correlations, Regression, and other related terms

REGRESSION

Correlation and Regression o

Crosstabs and scatterplots

o

Pearson's r

o

Regression - Finding the line

o

Regression - Describing the line

o

Regression - How good is the line?

o

Correlation is not causation

o

Example contingency table

o

Example Pearson's r and regression Readings

o

Correlation

o

Regression

o

Caveats and examples

o

Practice exercise Correlation and Regression

o

Explain the importance of data from above examples

o

How prediction changes with changing data?

Applications – Being able to relate data with regression and correlation. Everyday applications of these mathematical concepts.

Knowledge – What is classification and its types, what kind of problems may be placed under the category of a classification problem

What is a classification problem? CLASSIFICATION&CLUSTERING

Examples

- Simple binary classification Introduction to binary classification with logistic regression

Applications – Where to apply classification principals

True positives, true negatives, false positives and false negatives

Analysis – Impact of the application of incorrect algorithms on society

o

Where we should care more with examples

o

Example- false negative of a disease detection can have different implication than false positive, one will be more physical harm and other will be mental

Knowledge – Clustering problems and its application, why is it called clustering Application – Application of clustering problem using standard models

Practice exercise on simple Binary Classification model What is a clustering problem? Why is it unsupervised? Examples

AI VALUES (BIAS AWARENESS)

Practice exercise on simple Clustering model Knowledge – What is ethics, Impact of ethics on society, the impact of bias on AI functioning

AI working for good Principles for ethical AI

Evaluation – Biases in data, how to de-bias or neutralize the biased data

Types of bias (personal /cultural /societal) How bias influences AI based decisions

Application – Finding bias in acquired dataset

How data driven decisions can be de-biased Hands on exercise to Detect the Bias (Intro to AI)

(xii)

INCORPORATES NEP 2020 Created with new dimensions of Joyful Learning along with the parameters based on pedagogy of National Education Policy 2020

Inter-Disciplinary Computational Thinking Enables to help solve problems and make thinking more engaging

Connects knowledge across the curriculum for holistic development

Life Skills & Values Inclined towards empowering moral values in learner

Subject Enrichment

Experiential Learning

Aimed at understanding and skill developing in specific subject

Encourages ‘learning by doing’ through hands-on activities

National Education Policy 2020

Communication

Art Integration

Emphasis on power of language to develop cross disciplinary and inter-disciplinary thinking

Interlinks education with art and culture providing deeper understanding of the concepts

Critical Thinking

Creativity

Strengthens logical decision making and innovation

Enhances imagination to generate new ideas

DIGITAL RESOURCES Smart e-Book

Answer Key

Practice Worksheets

Student Worksheet

Software Download Link

Visit www.orangeeducation.in or scan the QR Code to register on our web support

CONTENTS Part

A Employability Skills

Unit-1 Communication Skills-III

19

Communication—An Introduction

7Cs of Communication

Factors Affecting Communication

Methods of Communication

Communication Styles

Basics of Pronunciation

Parts of Speech

Greetings

Asking Questions

Discussing Family

Habits and Routines

Unit-2 Self-Management Skills-III

39

Knowing Yourself

Identity

Impressive Appearance and Grooming

Self-Exploration

Team Work

Networking Skills

Self-Motivation

Goal Setting

Time Management

Unit-3 ICT Skills-III

54

Benefits of Using a Word Processor

Getting Started

Formatting Text

Spell Checking & Grammar

Inserting Lists, Tables, Pictures, and Shapes

Adding Header, Footer and Page Number

Tracking Changes

Unit-4 Entrepreneurial Skills-III

68

Introduction to Entrepreneurship

Types of Business Activities

Values that Make an Entrepreneur Successful

Attitude of an Entrepreneur

Problem-Solving

Generating a Business Idea

Customer’s Need

Building Business Ideas

Understanding the Market

Business Planning & Improving Business Growth

Unit-5 Green Skills-III

Part

84

What is a ‘Green Economy’?

Sectors of a Green Economy

Green Economy Policies

Stakeholders in Green Economy

Government and Private Agencies

Examples of Green Projects in India

B Subject Specific Skills

Unit-1 Introduction to AI

99

Introducing Artificial Intelligence

Why Artificial Intelligence?

History of Artificial Intelligence

Types of Artificial Intelligence

Domains of AI

What is Data?

(xiv)

Machine Learning

Traditional Programming Vs Machine Learning

Types of Machine Learning

Deep Learning

Neural Networks

How Does a Neural Network Work?

What Machine Learning Can and Cannot Do?

Jobs in AI

AI Ready-1

Unit-2 AI Applications and Methodologies

126

Major Fields of Application in AI

Computer Vision

Weather Prediction using AI

Google’s Nowcasting

Price Forecast for Commodities

Self-Driving Car

Characteristics and Types of AI

Cognitive Computing (Perception, Learning, Reasoning)

AI and Society

Non-technical Explanation of Deep Learning

Challenges Posed by AI AI Ready-2

Unit-3 Maths for AI

152

Introduction to Matrices

Order of Matrix

Types of Matrices

Applications of Matrices in AI

Operations on Matrices

Vector Arithmetic

Set Theory and Relational Algebra

Relational Algebra

Set Operations

Introduction to Data Table Joins

Simple Statistical Concepts

Variance and Standard Deviation

Visual Representation of Data

Simple Linear Equation and Regression

AI Ready-3

Unit-4 AI Values (Ethical Decision Making)

187

Issues and Concerns around AI

AI and Ethical Concerns

AI and Bias

What do we do about the Biases in AI?

Employment and AI AI Ready-4

Unit-5 Introduction to Storytelling

201

Storytelling: Communication Across the Ages

How to Tell a Fabulous Story with your Data?

Conflict and Resolution

Need for Storytelling

Why is Data Storytelling Difficult?

Storytelling for Audience

AI Ready-5

Unit-6 Critical & Creative Thinking

215

What is Design Thinking?

Right Questioning

Identifying the Problem to Solve

Ideate

Empathy Map AI Ready-6

(xv)

Spotl ght Brainy Fact

Based on NEP 2020 Computational Thinking

AI Task

AI Game

AI Quiz

AI in Life

Critical Thinking

AI Deep Thinking

AI Ready

Creativity

Earn Your AI Badge

I am Ready

1. Scan the QR Code and attempt the AI Paper. 2. Get a full score and earn your badge.

Experiential Learning

Orange Global Olympiad

CYBER

Coding Classes

Protect Yourself From Covid 19 Stay 6 feet apart from others in school and in the bus.

to

school

Communication

Life Skills & Values

AI Innovators

Returning

Back

Art Integration

Subject Enrichment

AI Reboot

AI Glossary

Inter-Disciplinary

On reaching school, go straight to your classroom. Wash Your Hands Frequently

Wear a Face Mask

Stay at Home if You are Sick

Use your own things so virus cannot be transmitted. Cough or sneeze into your elbow or use a tissue.

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@OrangeEducationPvtLtd

Orange Education Pvt Ltd Adding value to ‘Education’

9, Daryaganj, New Delhi-110002 (India) Phone: +91-11-43776600 E-mail: [email protected] Website: www.orangeeducation.in

MRP: ` 540

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