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AI Activity Zone
Experiential Learning

Activity 1 : D
Activity 1 : Data Explorationata Exploration
Design a Data Exploration activity for the computer lab using a sample dataset.

Details: In the lab, select a dataset related to a specific domain (e.g., student performance).
Ask students to explore the dataset,
identify key features, and visualize trends using suitable tools.

Encourage them to draw insights that could be valuable for decision-making.

Activity 2 : Neur
Activity 2 : Neural Networkal Network
Develop a lab exercise focusing on the application of neural networks in image recognition.

Details: Provide students with a set of images representing different objects.
In the lab, guide them to create a basic neural network using a user-friendly platform.

Let them train the network to recognize the objects in the images, highlighting the practicality of neural
networks in real-world applications.

Activity 3 : Data Visualization in AI Projectata Visualization in AI Project
Activity 3 : D
Instructions:

1. Objective: Learn the importance of data visualization in AI projects.
2. Materials: Computer with data visualization tools (e.g., Microsoft Excel, Google Data Studio).
3. Steps:

a. Choose a small dataset (e.g., student grades, weather data).
b. Input the data into a visualization tool.
c. Create different visualizations such as bar charts, line charts, or pie charts to represent the data.

d. Analyse visualizations and identify trends or patterns.
e. Discuss how these visualizations can aid in decision-making for an AI project.
f. Share your findings with the class, emphasizing the importance of visualizing data before AI model
development.

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