Spring 2019

Signals and Noise Laboratory

Listed in: Physics and Astronomy, as PHYS-226

Formerly listed as: PHYS-26

Faculty

Jonathan R. Friedman (Section 01)
William A. Loinaz (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 and instrumentation. 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. The Department.

Keywords

Attention to Writing, Lab Science Course, Quantitative Reasoning

Offerings

2022-23: Not offered
Other years: Offered in Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022