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 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? No