Spring 2025

Signals and Noise Laboratory

Listed in: Physics and Astronomy, as PHYS-226

Faculty

Jonathan R. Friedman (Section 01)

Description

How do we gather information to refine our models of the physical world? This course is all about data: acquiring data, separating signals from noise, analyzing and interpreting data, and communicating results. Much – indeed nearly all – data spend some time as an electrical signal, so we will study analog electronics. In addition, students will become familiar with contemporary experimental techniques, instrumentation, and/or computational methods. Throughout, students will develop skills in scientific communication, especially in the written form. Six hours of laboratory work per week.

Requisite: PHYS 225 or consent of the instructor. Spring semester:  Professor Friedman. 

How to handle overenrollment: null

Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative work, lab work and working in groups

Course Materials

Offerings

Other years: Offered in Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2023, Spring 2024