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No. Unfortunately, you have to use statistics and/or machine learning in your independent work. However, the breadth of these methods have expanded beyond the sciences. For example, the digital humanities makes heavy use of data analysis methods.
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Statistics and/or machine learning must play a major role in your independent work. You do not necessarily have to develop new methods but you must apply statistical and/or machine learning methods to your question of interest. The independent work is a culmination of your education at Princeton: you need to demonstrate that you can apply methods you've learned in order to answer research questions. We will also have a poster session where you will be presenting your work to SML faculty.
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Yes, that is possible but students must obtain permission of the certificate director. In addition, students are required to take a total of 5 courses in order to be qualified for the SML certificate.
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So long as students are not using more than two courses towards another degree program (i.e., departmental major or another certificate program), they are allowed to count these courses towards the SML certificate.
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No. Students must take 5 courses and earn at least a grade of B- for each course.
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Yes, as long as you have fulfilled the independent work requirement and submitted the work to the faculty committee by the appropriate deadline.
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No. Unfortunately, your independent work or thesis needs to be done and presented independently to receive credit toward your certificate.
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Yes.
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You must submit a PDF copy of the official course syllabus to the Academic Program Coordinator and the Director of the Certificate Program. The syllabus must include information about the course materials and assignments.
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No, we do not give credit or exemptions for AP exams.
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We will not count multiple courses in the Fundamentals for Statistics category towards the certificate.
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Yes, you can. As long as the project has a substantial machine learning or statistics component to it, you may submit work that was done for another program.
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Yes, you can use such a project as the basis of your CSML IW. However, you should report on your own work in support of the project, and what you did yourself should have a substantial machine learning or statistics component to it.
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With permission from their thesis advisor and/or their undergraduate department, students can incorporate work they did in SML 310 into their thesis.
Students should indicate in their thesis which parts of the work were completed as part of SML 310. -
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That is in principle possible if the scope of your SML 310 project is sufficiently large and the write-up is sufficiently comprehensive. However, many SML 310 students would need to expand their SML 310 project in order to fulfill the IW requirement.
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You cannot resubmit work that you already have completed elsewhere. You can build on work that you had done previously. Your write-up must clearly indicate what part of the work was done as part of SML 310, and what part of the work was done earlier.