Senior data science majors enroll in this course in order to meet the major’s capstone requirement. The goal is to integrate and solidify the concepts learned in previous major courses. Students will demonstrate the ability to conduct applied projects via the steps in the data science process. Students will complete the capstone with the critical thinking needed to pose and refine questions that can be answered with data in an ethical way; the statistical skills needed to draw meaning from data appropriately; the computational skills needed to tackle practical data challenges; and the ability to collaborate, communicate, and critique in the context of modern data. The course is also a chance to practice and demonstrate key technical skills, such as code sharing on github or a strong command of data science libraries in both Python and R. At the end of the course, students will have created a project or portfolio that can be shared publicly. The course must be taken for a letter grade.
Units: 0.5
Max Enrollment: 15
Prerequisites: QR 260/STAT 260 or STAT 318 or QAI Certificate, and at least one 300-level CS course that counts toward the data science major. Permission of the instructor required.
Instructor: Joseph, McEwan, Mustafaraj, Pattanayak, W. Wang, Wilmer
Typical Periods Offered: Fall and Spring
Semesters Offered this Academic Year: Fall
Notes:
Units: 1
Max Enrollment: 10
Prerequisites: Permission of the instructor.
Instructor:
Typical Periods Offered: Fall and Spring
Semesters Offered this Academic Year: Fall; Spring
Notes:
Units: 0.5
Max Enrollment: 25
Prerequisites: Permission of the instructor.
Typical Periods Offered: Fall and Spring
Semesters Offered this Academic Year: Spring; Fall
Notes:
Units: 1
Max Enrollment: 10
Prerequisites: Permission of the instructor.
Instructor:
Typical Periods Offered: Fall and Spring
Semesters Offered this Academic Year: Fall; Spring
Notes: Students enroll in Senior Thesis Research (360) in the first semester and carry out independent work under the supervision of a faculty member. If sufficient progress is made, students may continue with Senior Thesis (370) in the second semester.
Units: 1
Max Enrollment: 10
Prerequisites: DS 360 and permission of the department.
Instructor:
Typical Periods Offered: Fall and Spring
Semesters Offered this Academic Year: Spring; Fall
Notes: Students enroll in Senior Thesis Research (360) in the first semester and carry out independent work under the supervision of a faculty member. If sufficient progress is made, students may continue with Senior Thesis (370) in the second semester.