Subject: Data Science
Course Number: 221
Course Title: Data Science Program Seminar II
Units: 1
School: Graduate Division
Department: Health Data Science Program

Course Description: This course covers advanced topics of data science methods, ethics and biases. The focus in this second year of the seminar program will be on students presenting their research work progress from their Capstone projects. Additionally, students will also learn how to critically evaluate research literature.
Prerequisites: DATASCI 220
Restrictions: This course is restricted to students enrolled in year 2 of the Master's in Health Data Science program.
Activities: Direct - Seminar, Direct - Independent Study, Student - Seminar

Instructor of Record: J. Kornak
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Fall, Winter, Spring
Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? Yes