Through hands-on exploration, students will learn about analog and digital electronics, optical systems, and foundational techniques in the modern physics laboratory. A framework for data analysis will be developed, with a focus on model-data comparison, model selection and statistical inference. This course helps prepare students for independent research and internships in physics and related fields.

In the fall semesters enrollment in this course is restricted to ASPH and PHYS majors.

Units: 1.25

Max Enrollment: 10

Crosslisted Courses:

Prerequisites: PHYS 108.

Distribution Requirements: MM - Mathematical Modeling and Problem Solving; LAB - Natural and Physical Sciences Laboratory; NPS - Natural and Physical Sciences

Degree Requirements: DL - Data Literacy (Formerly QRDL)

Typical Periods Offered: Fall and Spring

Semesters Offered this Academic Year: Fall; Spring

Notes: