Page 13 - AI Ver 3.0 class 10_Flipbook
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SUB-UNIT LEARNING OUTCOMES SESSION/ ACTIVITY/ PRACTICAL
Statistical Data: Use Case Relate AI project stages to the stages of No-Code AI Session
Walk through projects ● Important concepts in Statistics.
Able to use no-code tool Orange Data mining. ● Orange data mining
To perform data exploration, modeling and evaluation ● AI project cycle in Orange data mining (Palmer
with Orange data mining. penguins case study)
Activity: MS Excel for Statistical Analysis.
Link: https://docs.google.com/spread-
sheets/d/1f5G-JXyP7EV2fy1hax47YVaH5gyq8KZy/
edit?usp=drive_link&ouid=109928090180926267402
&rtpof=true&sd=true
Case study using Orange data mining (Palmer
Penguins).
Link: https://drive.google.com/drive/u/0/folders/1fm-
cRVb-ilTyUhmUv4DWT1BFsaCoQ2BmF
UNIT 5: Computer Vision (To be assessed through Theory)
SUB-UNIT LEARNING OUTCOMES SESSION/ ACTIVITY/ PRACTICAL
Introduction Define the concept of Computer Vision and understand Session: Introduction to Computer Vision
its applications in various fields. Session: Applications of CV
Concepts of Computer Understand the basic concepts of image representation, Session: Understanding CV Concepts
Vision feature extraction, object detection, and segmentation. ● Computer Vision Tasks
● Basics of Images-Pixel, Resolution, Pixel value
● Grayscale and RGB images
Activities:
● Game- Emoji Scavenger Hunt
https://emojiscavengerhunt.withgoogle.com/
● RGB Calculator:
https://www.w3schools.com/colors/colors_rgb.asp
● Create your own pixel art:
www.piskelapp.com
● Create your own convolutions:
http://setosa.io/ev/image-kernels/
UNIT 5: Computer Vision (To be assessed through Practicals)
SUB-UNIT LEARNING OUTCOMES SESSION/ ACTIVITY/ PRACTICAL
No-Code AI Tools To demonstrate proficiency in using no-code AI tools Introduction to Lobe: https://www.lobe.ai/
for computer vision projects. To deploy models, fine- Teachable Machine:
tune parameters, and interpret results. Skills acquired
https://teachablemachine.withgoogle.com/
include data preprocessing, model selection, and project
● Activity: Build a Smart Sorter
deployment.
Orange Data Mining Tool:
https://orangedatamining.com/download/
● Activity: Build a real-world Classification Model:
Coral Bleaching (Use Case Walkthrough)
● Link to the steps involved in project development
and dataset:
https://drive.google.com/drive/folders/1ppJ4d-8yOFJ
2G22rHHpjNrK0ejdIAe5Q?usp=sharing
(xi)

