The assignment is an opportunity to demonstrate and solidify your knowledge on Bayes theorem and rule-based
The assignment may be completed individually, or it may be completed in small groups of two or three students.
The expectations will not depend on group size (i.e. same expectations for all group sizes).
The assignment should contain two components: an implementation and a technical document.
The implementation should provide a complete solution to the problem outlined below.
Your technical document should outline the algorithms you used and answer any questions posed below. After
reading the technical document, the reader should understand exactly how your implementation works.
The technical document will be graded both on content and on presentation quality.
If the assignment was completed in a small group of students, the technical document must include a statement of
contributions. This statement should identify: (1) whether each group member made significant contribution, (2)
whether each group member made an approximately equal contribution, and (3) exactly which aspects of the
assignment each group member contributed to.
Assignments are to be submitted electronically through cuLearn. If you work in a small group, it is sufficient for one
group member to submit.
It is your responsibility to ensure that your assignment is submitted properly. Copying of assignments is NOT allowed.
Discussion of assignment work with others is acceptable but each individual or small group are expected to do the
Programming language: Python 3
You may use any standard Python libraries. You may also use the NumPy, Pandas, and SciPy packages. Use of any
additional packages requires approval of the instructor.
You must implement your code yourself. Do not copy-and-paste code from other sources, but you may use any
pseudo-code we wrote in class as a basis for your implementation. Your implementation must follow the outlined
specifications. Implementations which do not follow the specifications may receive a grade of zero. Please make
sure your code is readable, as it will also be assessed for correctness. You do not need to prove correctness of your
You may be provided with a set of examples to test your implementation. Note that the provided examples do not
necessarily represent a complete set of test cases. Your implementation may be evaluated on a different set of test
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