Requirements for the ePortfolio
ePortfolios should contain at least an About Page and a section that collects the Projects. The About page should be a narrative of the content of the ePorfolio and of its scope. As students prepare the ePorfolio, they should identify an audience (e.g. academia, industry) and they should tailor the ePorfolio to that audience. ePorfolios should be created using Github.
In addition to any final products (e.g., reports), each project included in the ePortfolio should contain code, and it should be accompanied by a narrative that provides the context of the project, the learning outcomes and the student’s individual contribution.
The eportfolio must contain a set of 5 completed projects that demonstrate proficiency and growth in data analysis, and statistical thinking over time. Class projects may be included provided they were completed individually. Additionally, at least one of the projects must correspond to a co-curricular activity for which the student did not receive credit (e.g., DataFest, e-Science Data Science for Social Good program, internship, independent research projects such those completed during an REU program). These projects may be group projects, so long as the student’s contribution to them is substantive. The work conducted as part of STAT 499 or STAT 495 to satisfy the honor´s program requirement should also be included.
The development of the ePorfolio is the student’s responsibility. Students will meet halfway through the program with the Honors Committee that will evaluate their midterm’s product and provide feedback.
Evaluation of the ePortfolio
At the conclusion of the program, the ePortfolio will be submitted to the Honors Committee for evaluation according to the modalities defined by the Honors Committee.