SML 310 – Research Projects in Data Science - is now accepting applications for the spring.
Daisy Huang, a lecturer at the Center for Statistics and Machine Learning, will be teaching the course.
This is a project-based seminar course in which students work individually or in small teams to tackle data science and machine learning problems, while working with real-world datasets. The course emphasizes critical thinking about experiments and large dataset analysis and the ability to clearly communicate one's research. This course is intended to support students in developing the analytical skills necessary for quantitative independent work; students should consult with their home department about how this course could appropriately complement, but not replace, their independent work requirements.
More information can be found at the course website: https://csml.princeton.edu/undergraduates/sml-310-researchprojects
Course registration information is at this link: https://registrar.princeton.edu/course-offerings/course-details?term=1204&courseid=014732
An overview of the fall 2018 version of the course: http://guerzhoy.mycpanel.princeton.edu/310f18/
A feature article about the course when it was first offered: https://csml.princeton.edu/news/sml-310-cracks-open-data-science-all-students-sociology-computer-science
Any questions on the course can be directed to Susan Johansen, CSML academic program coordinator, at email@example.com.