Advance Artificial Intelligence
Class X
This course addresses students of Standard 10. It is designed to accommodate participants without any previous AI knowledge.
40 Classes
Course Pedagogy
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Curriculum Standards:
Our curriculum is mapped to the CSTA and ISTE standards.
The CSTA K–12 Computer Science Standards delineate a core set of learning objectives designed to provide the foundation for a complete computer science curriculum and its implementation at the K–12 level.
ISTE Standards for Students are designed to empower student voice and ensure that learning is a student-driven process.
BBC micro:bit is a half debit/credit card sized computer that introduces students to how software and hardware work together. It is power packed with LED display, sensors and many input/outputs feature that, when programmed, let it interact with us and world around.
Number of Classes - 3
Number of Activities – 3
Standards
CSTA K12
2-CS-01 - Recommend improvements to the design of computing devices, based on an analysis of
how users interact with the devices.
2-CS-02 - Design projects that combine hardware and software components to collect and exchange
data.
ISTE
5A - Students formulate problem definitions suited for technology-assisted methods such as data analysis, abstract models, and algorithmic thinking in exploring and finding solutions.
5B- Students collect data or identify relevant data sets, use digital tools to analyse them, and represent data in various ways to facilitate problem-solving and decision-making.
Artificial Intelligence in simpler terms is an area of computer science that emphasizes the creation of smart machines that can act and work like humans. They can work on large volumes of data, interpret unstructured information, and offer human like experiences through bots. Looking into AI Goals. Introduction to AI and related terminologies. Introducing AI, ML & DL. Introduction to AI Domains (Data, CV & NLP)
Number of Classes - 5
Number of Activities – 4
CSTA K12
2-IC-20- Compare trade-offs associated with computing technologies that affect people's everyday activities and career options.
2-IC-21 - Discuss issues of bias and accessibility in the design of existing technologies.
Introduction to AI Project Cycle, Understanding Problem Scoping & Sustainable Development Goals, Simplifying Data Acquisition, Visualising Data
Number of Classes - 6
Number of Activities – 6
CSTA K12
2-AP-13- Decompose problems and subproblems into parts to facilitate the design, implementation, and review of programs
2-AP-19- Document programs in order to make them easier to follow, test, and debug.
Features of Python and how to work on python. Fundamentals of Python.
Number of Classes - 9
Number of Activities – 6
CSTA K12
2-CS-03 - Systematically identify and fix problems with computing devices and their components
2-AP-10- Use flowcharts and/or pseudocode to address complex problems as algorithms.
Data Science as collection of data, arranging it in a way so that it can be easily understood, and making decisions out of it.
Number of Classes - 6
Number of Activities – 2
CSTA K12
2-CS-03 - Systematically identify and fix problems with computing devices and their components
Introduction and concepts of Computer vision.
Number of Classes - 6
Number of Activities – 2
CSTA K12
2-AP-11 - Create clearly named variables that represent different data types and perform operations
on their values.
2-AP-13 - Decompose problems and subproblems into parts to facilitate the design, implementation,
and review of programs.
NLP is a branch of Linguistics, Computer Science, Information Engineering and Artificial Intelligence that helps computers to understand, interpret and manipulate human language.
Number of Classes - 5
Number of Activities – 2
CSTA K12
2-AP-11 - Create clearly named variables that represent different data types and perform operations
on their values.
2-AP-13 - Decompose problems and subproblems into parts to facilitate the design, implementation,
and review of programs.