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.
Max Enrollment: 12
Prerequisites: PHYS 108. PHYS 120 recommended.
Instructor: Staff (Fall); Staff (Spring)
Distribution Requirements: NPS - Natural and Physical Sciences; MM - Mathematical Modeling and Problem Solving; LAB - Natural and Physical Sciences Laboratory
Degree Requirements: DL - Data Literacy (Formerly QRDL); DL - Data Literacy (Formerly QRF)
Semesters Offered this Academic Year: Fall; Spring