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.

Units: 1.25

Max Enrollment: 10

Crosslisted Courses:

Prerequisites: PHYS 108.

Instructor: Belisle, Hall

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

Degree Requirements: DL - Data Literacy (Formerly QRDL); DL - Data Literacy (Formerly QRF)

Semesters Offered this Academic Year: Spring; Fall

Notes: