Honors Project

Honors Project expectations are high. The intended end-product is a traditional project manuscript with accompanying artifact(s), all projects:
- are 6 credits or more of sustained research on a single topic, typically conducted over two semesters.
- begin with creative inquiry and systematic research.
- include documentation of substantive scholarly endeavor.
- culminate in an oral defense or other form of public presentation.

Intro to Data Science

This course is an introduction to the concepts and skills involved with the collection, management, analysis, and presentation of data sets and the data products that result from the work of data scientists. Privacy, algorithmic bias and ethical issues are also discussed. Students will work with data from the financial, epidemiological, educational, and other domains. The course provides many examples of real-world data that students work with using various software tools.

Intro to Data Science

This course is an introduction to the concepts and skills involved with the collection, management, analysis, and presentation of data sets and the data products that result from the work of data scientists. Privacy, algorithmic bias and ethical issues are also discussed. Students will work with data from the financial, epidemiological, educational, and other domains. The course provides many examples of real-world data that students work with using various software tools.
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