Hi all,
Lecture 3: Optimization
<https://cs50.harvard.edu/summer/ai/2020/lectures/3/> is now available on
the course website. In this part of the course, we explore how AI can
search for solutions that optimize for some goal — minimizing cost,
maximizing rewards or benefits, or satisfying some constraints as best as
possible, for example. In doing so, we'll explore three different
approaches used in AI: local search, linear programming, and constraint
satisfaction algorithms.
A few other important announcements for this week:
- Quiz 3 <https://cs50.harvard.edu/summer/ai/2020/quizzes/3/> is now
available and is due by 11:59pm ET on Wed 7/15. As a reminder, each quiz is
open-book: you may use any and all non-human resources during a quiz, but
the only humans to whom you may turn for help or from whom you may receive
help are the course’s heads. And remember to submit your quiz via
Gradescope as well!
- Project 3 <https://cs50.harvard.edu/summer/ai/2020/projects/3/> is now
available as well and is due by 11:59pm ET on Sun 7/19. This week, you'll
build an AI to generate crossword puzzles using constraint satisfaction
techniques.
- Sections <https://cs50.harvard.edu/summer/ai/2020/sections/> this week
will be an opportunity to talk more about these optimization problems, see
additional examples of lecture material, and ask questions about this
week's concepts. You're encouraged to attend if you can!
As always, feel free to reach out to me or any of the course staff with any
questions!
All the best,
Brian
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