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IB Year 2 Higher Level Computer Science

Friday 8 October 2021 - Block 5
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Daily Note

  1. We will work our current event protocol
     
  2. Today you will work an interesting problem related to image recognition. This is linked to the computer organization standard data representation.
     
  3. You will work a problem to recognize an image. This is fairly complex, but once you understand how a computer classifies an image you will understand how facial recognition works, and many other computer-vision related problems. 
     
  4. You will need this file: https://github.com/bmackenty/studentPythonStuff/blob/master/data_rep_images.py
     
  5. Please also look at github https://github.com/bmackenty/studentPythonStuff and grab image1.png and imag2.png Make sure all these files are in the same folder
     
  6. We will make sure you have pil and numpy installed:
    1. python3 -m pip install numpy
    2. python3 -m pip install --upgrade Pillow
       
  7. I will explain how an image is represented, and then I'll ask you to think how you can design and construct a program to "see" the shape. This will take some time and some brain power, so please just spend some time with this problem. 
     
  8. This is a formatively graded assessment which will be due in four classes. 

 

 

 

Our Big idea

The big idea for today is Computational thinking.

The essential questions for this topic are:

How do we think about problems in a way which makes them solvable for a computer?

It takes time to explore and really understand a big idea. If you want to
learn more about computational thinking (which is connected to today's daily note), please click here .

We are learning this because as a designers must understand scientific and technical innovation. Designers use systems, models, methods, and processes to solve problems.



Tags

grade_12 data_representation

 

Reminders & routines:

Please read and follow these reminders:

  1. IF today ==  testing_day_for_me:
         remember to go get tested!
     
  2. IF today == Friday:
         current_event_activity()

 

Our learning

This is a beta feature. Please let me know if you have any feedback.

Please click here to reflect on our learning for today's class.