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Define the idea of a Constraint Satisfaction Problem
Implement how to obtain the candidate solutions in the Sudoku game
Implement the Backtracking algorithm to solve the Sudoku game
In this 1-hour long project-based course, you will create a Sudoku game solver using Python. This problem is an example of what is called a Constraint Satisfaction Problem (CSP) in the field of Artificial Intelligence. CSP is a mathematical problem that must satisfy a number of constraints or limitations all the time. In this project, You will use the Backtracking algorithm to solve CSPs, in a Sudoku game. Backtracking is a recursive algorithm that tries to build a solution incrementally, removing solutions that fail to satisfy the constraints. Eventually, you will be able to use the knowledge acquired from this project on far more complex projects that employ these technologies. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Artificial Intelligence (AI)
Constraint Satisfaction Problem
Backtracking
Python Programming
Search Algorithm
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
you will be able to define the idea of a Constraint Satisfaction Problem. You will identify the constraints of the Sudoku game and how humans play the sudoku game.
You will be able to identify the idea of the Backtracking algorithm, and define how artificial intelligence uses Backtracking to solve the sudoku game.
you will be able to use Python code to implement the initial structure of the Sudoku game. You will be able to implement three of four constraints of the Sudoku game.
you will be able to use Python to implement the fourth rule of the Sudoku game. You will also identify how to move between cells in the Sudoku game.
you will be able to use Python to implement the method that obtains the candidate solutions that do not violate the four constraints of the Sudoku game for any given cell.
you will be able to define the difference between the assignment and deep copy in Python programming language. You will implement the recursive algorithm.
you will be able to implement the Backtracking algorithm using recursion and will be able to define how the Backtracking algorithm can be used to solve the Sudoku game problem.
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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