Course Pedagogy


  Activity classes | Year-long curriculum | 1-2 classes each week 

 
Assessments | Quizzes | Revision Classes | Certifications

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.


Course Curriculum

  • Unit A: Introduction to Micro:bit

    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.

  • Unit B: Fundamentals and Understanding of AI

    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.

    Number of Classes - 6
    Number of Activities – 2

    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.

  • Unit C: Machine Learning

    Machine Learning is a process or method through which computers program themselves. In Machine Learning, the computer uses data and output, to automate the program that is completely different from the traditional programming to get an output.

    Number of Classes - 8
    Number of Activities – 4

    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.

  • Unit D: Advanced AI Techniques

    AI techniques make it possible to organize and use knowledge and methods derived from the pool of data to make new patterns such that it can easily be modified to correct errors or may be useful in several circumstances. AI techniques are the models which are made from advanced forms of statistical and mathematical models. These models make it possible for a computer or machine to behave intelligently like humans do in completing any task.

    Number of Classes - 8
    Number of Activities – 9

    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.

  • Unit E: Domains of AI

    This unit covers about Domanins of AI, NLP, data science, Computer Vision and other areas. NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way.

    Number of Classes - 6
    Number of Activities – 3

    CSTA K12
    2-CS-03 - Systematically identify and fix problems with computing devices and their components
    2-IC-21- Discuss issues of bias and accessibility in the design of existing technologies.

  • Unit F: Python

    Features of Python and how to work on python. Fundamentals of Python.

    Number of Classes - 9
    Number of Activities – 4

    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.

  • Revision Sessions for stronger foundation

  • Total number of activities – 25

  • Guidance toward participation in Edufiq Annual Championship

  • Total Number of Classes – 40 (35 + 5 Revision classes)