Fundamentals of Artificial Intelligence
Class VIII
This course addresses students of Standard 8. It is designed to accommodate participants without any AI experience.
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 is the way of acting intelligently with predefined algorithms. It is the area of computer science which helps in making machines with intelligence. Intelligence is the ability of solving problems, analysing data, making decisions and the ability to act rationally in situations. Students will get to know about the features of AI.
Number of Classes - 6
Number of Activities – 2
CSTA K12
2-IC-20- Compare tradeoffs 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.
AI techniques is an organized way and method to use the knowledge derived such that it can be easily modified to correct errors, or useful in several circumstances. Types of Machine Learning with examples
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.
This unit covers about Domains of AI - Fuzzy logic systems, NLP, data science, Computer Vision and other areas.
Number of Classes - 8
Number of Activities – 5
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.
Many modern AI empowered system’s behaviour reflects the data the system is trained against and the human labellers who annotate that data. We will try to understand the ethics states - About moral decisions-what is good and bad?
Number of Classes - 8
Number of Activities – 5
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.
It is obvious that AI has made tremendous progress over the years and will continue to do so in future. Comparing the kinds of technologies that we possessed or even the kind of businesses we ran before AI took over with the scenario today, it is safe to say that AI has made a vast difference in these areas. Going forward too, with evolving Al, there is going to be a drastic change from the technologies and businesses today compared with that of the future.
Number of Classes - 7
Number of Activities – 6
CSTA K12
2-CS-03 - Systematically identify and fix problems with computing devices and their components
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.