{"id":37289,"date":"2025-05-11T10:16:54","date_gmt":"2025-05-11T04:46:54","guid":{"rendered":"https:\/\/tocxten.com\/?page_id=37289"},"modified":"2025-05-11T19:50:42","modified_gmt":"2025-05-11T14:20:42","slug":"high-school-artificial-intelligence-volume1","status":"publish","type":"page","link":"https:\/\/tocxten.com\/index.php\/high-school-artificial-intelligence-volume1\/","title":{"rendered":"High School Artificial Intelligence"},"content":{"rendered":"\n<p class=\"has-pale-ocean-gradient-background has-background has-medium-font-size\"><strong>Course Objectives:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Introduce the fundamentals of Artificial Intelligence<\/strong>, its types, workflow, real-world applications, and key domains like CV, NLP, and Data Science.<\/li>\n\n\n\n<li><strong>Develop core data literacy skills<\/strong>, including data acquisition, preprocessing, interpretation, and secure handling using both code and no-code tools.<\/li>\n\n\n\n<li><strong>Explore AI modelling techniques<\/strong>, covering rule-based and learning-based models, neural networks, and key evaluation metrics.<\/li>\n\n\n\n<li><strong>Provide hands-on experience in AI applications<\/strong>, especially in Computer Vision and Natural Language Processing, through practical tools and projects.<\/li>\n\n\n\n<li><strong>Foster responsible AI development<\/strong>, by understanding the AI Project Cycle, ethical frameworks, AI for sustainability, and societal impact.<\/li>\n<\/ul>\n\n\n\n<p class=\"has-pale-ocean-gradient-background has-background has-medium-font-size\"><strong>Syllabus<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Module 1: Foundations of Artificial Intelligence<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What is Artificial Intelligence?<\/li>\n\n\n\n<li>Difference between AI and Automation<\/li>\n\n\n\n<li>Applications of AI in everyday life<\/li>\n\n\n\n<li>How AI works: Basic AI workflow<\/li>\n\n\n\n<li>Types of AI: Narrow AI, General AI, Super AI<\/li>\n\n\n\n<li>Introduction to domains of AI: Computer Vision, Natural Language Processing, Data Science<\/li>\n\n\n\n<li>Importance of Mathematics in AI\n<ul class=\"wp-block-list\">\n<li>Basics of Statistics and Probability<\/li>\n\n\n\n<li>Role of Math in AI decision-making<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Exercises\n<ul class=\"wp-block-list\">\n<li>Objective Type Questions<\/li>\n\n\n\n<li>Subjective Types Questions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Activities\n<ul class=\"wp-block-list\">\n<li>Aaaaaa<\/li>\n\n\n\n<li>aaaaaaa<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Module 2: Data Literacy and Understanding Data<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What is Data Literacy?<\/li>\n\n\n\n<li>Impact of data literacy in AI<\/li>\n\n\n\n<li>Types and sources of data<\/li>\n\n\n\n<li>Data security, privacy, and cyber safety best practices<\/li>\n\n\n\n<li>Data acquisition and pre-processing<\/li>\n\n\n\n<li>Importance of data interpretation<\/li>\n\n\n\n<li>Interactive Dashboard and Visualization\n<ul class=\"wp-block-list\">\n<li>No-Code tools for creating visual charts<\/li>\n\n\n\n<li>Use Case: Orange Data Mining (Palmer Penguins dataset)<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Real-life examples: Recommendation systems, AI assistants<\/li>\n\n\n\n<li>Exercises\n<ul class=\"wp-block-list\">\n<li>Objective Type Questions<\/li>\n\n\n\n<li>Subjective Types Questions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Activities\n<ul class=\"wp-block-list\">\n<li>Aaaaaaa<\/li>\n\n\n\n<li>aaaaaaa<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Module 3: Modelling in AI<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI, ML, and DL\n<ul class=\"wp-block-list\">\n<li>Key differences and relationships<\/li>\n\n\n\n<li>Common terminologies used in ML<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Types of AI models:\n<ul class=\"wp-block-list\">\n<li>Rule-based and Learning-based AI<\/li>\n\n\n\n<li>Supervised, Unsupervised, and Reinforcement learning<\/li>\n\n\n\n<li>Subcategories: Classification, Regression, Clustering, Association<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Neural Networks\n<ul class=\"wp-block-list\">\n<li>Concept and how machines make decisions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Evaluation of AI Models:\n<ul class=\"wp-block-list\">\n<li>Train-Test Split<\/li>\n\n\n\n<li>Accuracy, Error<\/li>\n\n\n\n<li>Confusion Matrix<\/li>\n\n\n\n<li>Precision, Recall, F1 Score<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Tools and Activities:\n<ul class=\"wp-block-list\">\n<li>Teachable Machine<\/li>\n\n\n\n<li>Infinite Drum Machine<\/li>\n\n\n\n<li>Containment Zone Prediction Model<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Exercises\n<ul class=\"wp-block-list\">\n<li>Objective Type Questions<\/li>\n\n\n\n<li>Subjective Types Questions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Activities\n<ul class=\"wp-block-list\">\n<li>Aaaaaa<\/li>\n\n\n\n<li>aaaaaaa<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Module 4: Computer Vision<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What is Computer Vision (CV)?<\/li>\n\n\n\n<li>Real-life CV applications: Face recognition, self-driving cars, medical imaging, retail<\/li>\n\n\n\n<li>Sensors and perception in AI<\/li>\n\n\n\n<li>Vision-based AI systems and how they work<\/li>\n\n\n\n<li>CV Tasks:\n<ul class=\"wp-block-list\">\n<li>Image Classification<\/li>\n\n\n\n<li>Object Detection<\/li>\n\n\n\n<li>Image Segmentation<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Basics of image representation:\n<ul class=\"wp-block-list\">\n<li>Pixels, resolution, grayscale and RGB images<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Technical Concepts:\n<ul class=\"wp-block-list\">\n<li>Image features<\/li>\n\n\n\n<li>Convolution, Kernels<\/li>\n\n\n\n<li>CNN: Layers and architecture (Convolution, Pooling, ReLU, Fully Connected Layer)<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Tools and Libraries:\n<ul class=\"wp-block-list\">\n<li>No-code tools: Lobe, Teachable Machine<\/li>\n\n\n\n<li>Python libraries: OpenCV, TensorFlow, Keras<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Exercises\n<ul class=\"wp-block-list\">\n<li>Objective Type Questions<\/li>\n\n\n\n<li>Subjective Types Questions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Activities\n<ul class=\"wp-block-list\">\n<li>Aaaaa<\/li>\n\n\n\n<li>aaaaa<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Module 5: Natural Language Processing (NLP)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What is NLP?<\/li>\n\n\n\n<li>Importance and features of human vs computer language<\/li>\n\n\n\n<li>NLP Applications:\n<ul class=\"wp-block-list\">\n<li>Chatbots, Translation, Voice Assistants<\/li>\n\n\n\n<li>Sentiment Analysis, Auto-generated Captions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>NLP Pipeline:\n<ul class=\"wp-block-list\">\n<li>Lexical, Syntactic, Semantic, Discourse, Pragmatic Analysis<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Text Processing:\n<ul class=\"wp-block-list\">\n<li>Text Normalization<\/li>\n\n\n\n<li>Bag of Words<\/li>\n\n\n\n<li>TFIDF and its applications<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Tools and Use Cases:\n<ul class=\"wp-block-list\">\n<li>Code and no-code tools (e.g., Orange)<\/li>\n\n\n\n<li>Sentiment analysis mini-project<\/li>\n\n\n\n<li>Scripted vs Smart Chatbots<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Exercises\n<ul class=\"wp-block-list\">\n<li>Objective Type Questions<\/li>\n\n\n\n<li>Subjective Types Questions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Activities\n<ul class=\"wp-block-list\">\n<li>Aaaaa<\/li>\n\n\n\n<li>aaaa<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Module 6: Generative AI and AI for Society<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Introduction to Generative AI\n<ul class=\"wp-block-list\">\n<li>What it is and how it works<\/li>\n\n\n\n<li>Examples and applications: Text, Image, Music, Code<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>AI for Social Good:\n<ul class=\"wp-block-list\">\n<li>Importance of sustainability<\/li>\n\n\n\n<li>AI\u2019s role in achieving SDGs<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Systems Thinking:\n<ul class=\"wp-block-list\">\n<li>Introduction to system maps<\/li>\n\n\n\n<li>Use of system maps in AI planning and decision making<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Exercises\n<ul class=\"wp-block-list\">\n<li>Objective Type Questions<\/li>\n\n\n\n<li>Subjective Types Questions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Activities\n<ul class=\"wp-block-list\">\n<li>Aaaa<\/li>\n\n\n\n<li>aaaa<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Module 7: AI Project Cycle<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Overview and significance of the AI Project Cycle<\/li>\n\n\n\n<li>Six stages of the cycle:\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Problem Scoping<\/li>\n\n\n\n<li>Data Acquisition<\/li>\n\n\n\n<li>Data Exploration<\/li>\n\n\n\n<li>Modelling<\/li>\n\n\n\n<li>Evaluation<\/li>\n\n\n\n<li>Deployment<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li>Mapping real-world problems to AI stages<\/li>\n\n\n\n<li>Application of the AI Cycle in hands-on projects<\/li>\n\n\n\n<li>Exercises\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Objective Type Questions<\/li>\n\n\n\n<li>Subjective Types Questions<\/li>\n<\/ol>\n<\/li>\n\n\n\n<li>Activities\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Aaaa<\/li>\n\n\n\n<li>aaaa<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Module 8: Ethics in AI<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Difference between Ethics and Morality<\/li>\n\n\n\n<li>Understanding fairness, transparency, and accountability<\/li>\n\n\n\n<li>Common ethical dilemmas in AI systems<\/li>\n\n\n\n<li>AI Bias: Sources, identification, and mitigation strategies<\/li>\n\n\n\n<li>Ethical Frameworks:\n<ul class=\"wp-block-list\">\n<li>Importance and need<\/li>\n\n\n\n<li>Types of ethical frameworks<\/li>\n\n\n\n<li>Principles of Bioethics<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Case-based Learning:\n<ul class=\"wp-block-list\">\n<li>Moral Machine Activity<\/li>\n\n\n\n<li>Evaluating Ethical Scenarios<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Exercises\n<ul class=\"wp-block-list\">\n<li>Objective Type Questions<\/li>\n\n\n\n<li>Subjective Types Questions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Activities\n<ul class=\"wp-block-list\">\n<li>Aaa<\/li>\n\n\n\n<li>Aaa<\/li>\n\n\n\n<li>\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-pale-ocean-gradient-background has-background has-medium-font-size\"><strong>Course Outcome:<\/strong><\/p>\n\n\n\n<p><strong>Students will be able to:<\/strong><\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Define and differentiate AI from automation<\/strong>, explain its types, and identify real-life applications across domains like CV, NLP, and Data Science.<\/li>\n\n\n\n<li><strong>Demonstrate proficiency in data handling<\/strong>, from collection to visualization, using Python libraries and no-code tools, while applying best practices for privacy and security.<\/li>\n\n\n\n<li><strong>Apply appropriate AI models and techniques<\/strong>, including supervised, unsupervised, and neural network approaches, and evaluate their performance effectively.<\/li>\n\n\n\n<li><strong>Build basic AI applications<\/strong> in Computer Vision and NLP, including chatbot design, sentiment analysis, image recognition, and real-world case studies.<\/li>\n\n\n\n<li><strong>Design ethically sound AI projects<\/strong>, map real-world problems to the AI Project Cycle, and propose AI solutions aligned with SDGs and ethical principles.<\/li>\n<\/ol>\n\n\n\n<p class=\"has-pale-ocean-gradient-background has-background has-medium-font-size\"><strong>References<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/teachablemachine.withgoogle.com\/\">Teachable Machine<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/code.org\/ai\">Learn about Artificial Intelligence (AI) | Code.org<\/a><\/li>\n\n\n\n<li>&nbsp;<\/li>\n<\/ol>\n\n\n\n<p class=\"has-pale-ocean-gradient-background has-background\">..Dr.Thyagaraju G S<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Course Objectives: Syllabus Module 1: Foundations of Artificial Intelligence Module 2: Data Literacy and Understanding Data Module 3: Modelling in AI Module 4: Computer Vision Module 5: Natural Language Processing&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-37289","page","type-page","status-publish","hentry"],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/tocxten.com\/index.php\/wp-json\/wp\/v2\/pages\/37289","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tocxten.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/tocxten.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/tocxten.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tocxten.com\/index.php\/wp-json\/wp\/v2\/comments?post=37289"}],"version-history":[{"count":6,"href":"https:\/\/tocxten.com\/index.php\/wp-json\/wp\/v2\/pages\/37289\/revisions"}],"predecessor-version":[{"id":37311,"href":"https:\/\/tocxten.com\/index.php\/wp-json\/wp\/v2\/pages\/37289\/revisions\/37311"}],"wp:attachment":[{"href":"https:\/\/tocxten.com\/index.php\/wp-json\/wp\/v2\/media?parent=37289"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}