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Add course policies to manual
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course_manual.md

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@@ -43,3 +43,45 @@ DIGITA_DATA_INFORMAT
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## Work Form
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Hoor/werkcollege
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## General Course Information
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The course is structured around four weekly hackathons.
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- There is one hackathon per week.
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- Attendance is mandatory. If you are unable to attend a lecture or hackathon session, inform the course coordinator in advance.
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- If you miss a session, for example due to sickness, you should catch up in the regular way: read the assigned materials, go through the lecture slides, work through the relevant project tasks, ask your peers if you have questions, and, after doing the above, ask the teacher for further explanation.
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To pass the course, you need to:
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- Participate in the group project. Groups are created during the first hackathon. If you miss that session, you will not be able to participate in the group project and will fail the course.
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- Attend all four hackathons.
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- Complete the final presentation and written report.
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## Fraud and Plagiarism
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Plagiarism and fraud are serious academic offenses. Plagiarism is the use of another person's work without proper acknowledgment. This includes copying and pasting text from generative AI, the internet, books, or other students. If you use text from another source, you must put it in quotation marks and provide a citation. If you do not, you are committing plagiarism.
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Fraud is the use of dishonest methods to gain an unfair advantage. This includes copying another student's work, submitting work that is not your own, or submitting the same work for two different courses. If you commit fraud or plagiarism, you will fail the course. If you are not sure what constitutes plagiarism or fraud, see the [UU fraud and plagiarism policy](https://students.uu.nl/en/practical-information/policies-and-procedures/fraud-and-plagiarism).
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## Use of Generative AI
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This course follows Scenario B of the UU GenAI index. You may use generative AI to prepare the work you hand in, but you may not use generative AI to produce the assignment that you hand in, except for copy-editing. You may also use AI tools to help generate code that produces reproducible datasets.
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The use of generative AI, such as ChatGPT, in the group assignment is allowed only for:
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- Creating code to download and analyze data, or to explain code.
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- Labeling data.
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- Copy-editing text, meaning making the text more readable without changing the content.
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The use of generative AI must be clearly indicated in the assignment, including a link to the full conversation with the tool, either using the share function in the tool or by exporting the conversation to an online document.
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## Copyright and Course Materials
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The materials in this course are generated by FSBS teaching staff, who hold the copyright. The intellectual property belongs to Utrecht University.
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Warning: There is no information in these materials that exceeds legal use of copyright materials in academic settings, or that should not be part of the public domain.
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You may use all content in this course, excluding staff names and datasets, as input to generative AI tools, provided that the content is not used for further training of the model.
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If you do not know how to prevent the use of the content for further training of the model, you should not use any course materials as input for the AI tool. The same applies if you are not absolutely certain that the content is not used for further training of the model.

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