Page 8 - AI Ver 1.0 Class 9
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CBSE AI Curriculum For Class 9                                INSPIRE AND ACQUIRE MODULE





                                 ARTIFICIAL INTELLIGENCE (SUBJECT CODE 417)
                                                        CLASS – IX
                                             Total Marks: 100 (Theory-50 + Practical-50)


            OBJECTIVES OF THE COURSE:
            The objective of this module/curriculum - which combines both Inspire and Acquire modules is to develop a readiness for understanding
            and appreciating Artificial Intelligence and its application in our lives. This module/curriculum focuses on:
            1.   Helping learners understand the world of Artificial Intelligence and its applications through games, activities and multi-sensorial
                learning to become AI-Ready.
            2.  Introducing the learners to three domains of AI in an age-appropriate manner.
            3.  Allowing the learners to construct meaning of AI through interactive participation and engaging hands-on activities.
            4.  Introducing the learners to AI Project Cycle.
            5.  Introducing the learners to programming skills - Basic Python coding language.


            LEARNING OUTCOMES:
            Learners will be able to:
            1.  Identify and appreciate Artificial Intelligence and describe its applications in daily life.
            2.   Relate, apply and reflect on the Human-Machine Interactions to identify and interact with the three domains of AI: Data, Computer
                Vision and Natural Language Processing and Undergo assessment for analysing their progress towards acquired AI-Readiness skills.
            3.  Imagine, examine and reflect on the skills required for futuristic job opportunities.
            4.  Unleash their imagination towards smart homes and build an interactive story around it.
            5.  Understand the impact of Artificial Intelligence on Sustainable Development Goals to develop responsible citizenship.
            6.  Research and develop awareness of skills required for jobs of the future.
            7.  Gain awareness about AI bias and AI access and describe the potential ethical considerations of AI.
            8.  Develop effective communication and collaborative work skills.
            9.  Get familiar and motivated towards Artificial Intelligence and Identify the AI Project Cycle framework.
            10.   Learn problem scoping and ways to set goals for an AI project and understand the iterative nature of problem scoping in the AI
                project cycle.
            11.  Brainstorm on the ethical issues involved around the problem selected.
            12.   Foresee the kind of data required and the kind of analysis to be done, identify data requirements and find reliable sources to obtain
                relevant data.
            13.  Use various types of graphs to visualize acquired data.
            14.  Understand, create and implement the concept of Decision Trees.
            15.  Understand and visualize computer’s ability to identify alphabets and handwritings.
            16.   Understand  and  appreciate  the  concept  of  Neural  Network  through  gamification  and  learn  basic  programming  skills  through
                gamified platforms.
            17.  Acquire introductory Python programming skills in a very user-friendly format.

















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