Page 10 - AI Computer 10

Unit 5: Statistical Data (To be assessed through Practicals)

SUB-UNIT LEARNING OUTCOMES SESSION/ACTIVITY/PRACTICAL

Define the concept of Statistical Session: No code AI tool
Data and understand its • Introduction to Data Science & its applications
applications in various fields. • Meaning of No-Code AI
Introduction &
No code AI tool Define No-Code and Low- Code AI. • No-Code and Low-Code.
Identify the differences between • Some no-code tools
Code and No-Code AI concerning Orange Data Mining Tool: https://orangedatamining.com/
Statistical Data. download/
Session

• Important concepts in Statistics.
• Orange data mining
Relate AI project stages to the • AI project cycle in Orange data mining (Palmer penguins case
stages of No-Code AI projects Able study)
Statistical Data: to use no-code tool Orange Data Activity: MS Excel for Statistical Analysis. Link:https://docs.google.
Use Case Walk mining. com/spreadsheets/d/1f5 G-
through To perform data exploration,
modeling and evaluation with JXyP7EV2fy1hax47YVaH5gyq8KZy/edit?usp=dri
Orange data mining. ve_link&ouid=109928090180926267402&rtpof=tr ue&sd=true
Case study using Orange data mining (Palmer Penguins).
Link: https://drive.google.com/drive/u/0/folders/1fmcRVb-
ilTyUhmUv4DWT1BFsaCoQ2BmF

Unit 6: Computer Vision (To be assessed through Theory)

SUB-UNIT LEARNING OUTCOMES SESSION/ACTIVITY/PRACTICAL

Session: Introduction to Computer Vision
Define the concept of Computer Vision and
Introduction
understand its applications in various fields.
Session: Applications of CV

Session: Understanding CV Concepts
● Computer Vision Tasks
● Basics of Images-Pixel, Resolution, Pixel value
● Grayscale and RGB images

Understand the basic concepts of image
Concepts of Activities:
Computer Vision representation, feature extraction, object ● Game- Emoji Scavenger Hunt https://
detection, and segmentation.
emojiscavengerhunt.withgoogle.com/
● RGB Calculator: https://www.w3schools.com/
colors/colors_r gb.asp
● Create your own pixel art: www.piskelapp.com
● Create your own convolutions: http://setosa.io/
ev/image-kernels/