Subject: Data Science
Course Number: 300
Course Title: Data Science Educational Practice
Units: 2
School: Graduate Division
Department: Health Data Science Program

Course Description: Masters in Health Data Science students are expected to act as an educational apprentice (EA). This experience involves leading a weekly small-group discussion section of 10-15 students, holding office hours and grading homework assignments and projects. This requirement will provide students with valuable teaching experience without having a significant time impact on their Capstone project work. In all cases, students will have taken the course they are asked to EA during their first year.
Prerequisites: Students must have previously taken the course they EA for.
Restrictions: This course is restricted to 2nd year students in the Master's in Health Data Science program.
Activities: Direct - Lab-Science, Direct - Discussion, Student - Lab-Science, Student - Discussion

Instructor of Record: Staff
May the student choose the instructor for this course? Yes
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Fall, Winter, Spring, Summer
Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
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? No