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syllabus [2020/08/23 15:25] anderson [Grading] |
syllabus [2020/08/26 16:41] anderson [Instructors] |
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a Microsoft Teams meeting** that you can find [[https:// | a Microsoft Teams meeting** that you can find [[https:// | ||
+ | During the lecture please leave your microphone muted. | ||
===== Prerequisites ===== | ===== Prerequisites ===== | ||
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^ ^ Office | ^ ^ Office | ||
- | ^ [[http:// | + | ^ [[http:// |
- | ^ GTA: | + | ^ GTA: |
- | ^ GTA: | + | ^ GTA: |
===== Grading ===== | ===== Grading ===== | ||
- | Your grade for this course will be based only on the assignments, | + | Your grade for this course will be based only on six to eight assignments, |
of which will require the submission of a jupyter notebook that | of which will require the submission of a jupyter notebook that | ||
- | includes | + | includes |
- | and the python code for defining and applying AI algorithms. Each | + | |
notebook will be graded for correct implementation and results, | notebook will be graded for correct implementation and results, | ||
interesting and thorough discussion, and good organization, | interesting and thorough discussion, and good organization, | ||
- | and spelling. | + | and spelling. . |
- | + | ||
- | We plan for six to seven assignments during the semester. Each assignment will require the submission of a jupyter notebook with python code and its application to specified problems and data. In addition, each notebook must include thorough discussions of methods and results. | + | |
The calculation of the final letter grade, which will include + and -, | The calculation of the final letter grade, which will include + and -, |