A project-based seminar course in which students work individually or in small teams to tackle data science and machine learning problems, 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 are not required to bring in their own project proposal and dataset for this course; however, if they do, students should consult with their home department about how this course could appropriately complement, but not replace, their independent work requirements.
Enrollment to the Course
For enrollment, please use this form: SML 310 Enrollment Form.
Please submit applications as soon as possible. Applications submitted after December 28th will be considered on an ongoing basis subject to space availability. Acceptance decisions will be sent out by the end of January 14.
Past Course Website
The version of the course changes every semester depending on the pool of students for the course and the instructor. To see one version of the course, please visit the webpage here.