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iScience

With iScience School, we are fortunate to be able to take a principled approach based on current research in education around the globe. We design for outcomes that lead to personal development and high levels of engagement program, growth and real-world impact. We’re built to remain current. We built on research and learning criteria that supports essential knowledge, future ready skills, and habits for success. In everything we do, we keep the four pillars of educational values in our mind.

Key Focus Area

Intelligence
Overview

This course emphasizes the development of fluency and intelligibility in spoken English. Through individual and group activities, students work on improving pronunciation, practicing conversation strategies and delivering oral presentations.

Module 1:  Introducing AI and Programming for AI 

1.1 What is Artificial Intelligence 

1.2 Brief History of AI 

1.3 Types of AI  

1.4 Applications of AI 

1.5 Introduction to Programming  

1.6 Getting Started with Python 

1.7 Why Python for AI 

1.10 Where you will Fit 

 

Module 2: Chatbots and AI powered conversational devices 

2.1 Introduction to Chatbots 

2.2 Types of Chatbots 

2.3 How AI Enhances Chatbots 

2.4 Real-Life Applications of Chatbots 

2.5 Popular AI-Powered Conversational Devices 

2.6 The Future of Chatbots and Conversational AI 

 

Module 3: Machine learning essentials 

3.1 Introduction to Machine Learning 

3.2 Real-Life Examples of Machine Learning 

3.3 Types of Machine Learning 

3.4 How Machines Learn 

3.5 Supervised Learning in Action 

3.6 Unsupervised Learning in Action 

3.7 Reinforcement Learning in Action 

3.8 The Future of Machine Learning 

 

Module 4: how AI understands and processes human language (Natural Language Processing) 

4.1: Introduction to Natural Language Processing (NLP) 

4.2: Basic Concepts in NLP

4.3 How AI Reads Text 

4.4 Machine Translation 

4.5 Ethical Considerations in NLP 

4.6 Future of NLP 

 

Module 5: Scenarios exploring AI’s impact on society and privacy (Ethics in AI) 

5.1 Introduction to AI and Ethics 

5.2 Privacy Concerns with AI 

5.3 AI and Surveillance 

5.4 Bias in AI 

5.5 Ethical Dilemmas in AI Development 

5.6 Regulating AI 

5.7 The Future of AI and Privacy 

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