This module introduces the idea of aliasing and gives examples of it in sampling and reconstruction problems.
How we chose what vocal samples to extract in order to get an accurate representation of an accent.
This module provides homework questions related to lessons on descriptive statistics. The original module by Dr. Barbara Illowsky and Susan Dean has been modified by Roberta Bloom. Some homework questions have been changed and/or added.
This module focus on examining reconstruction relations.
This module introduces the Nyquist theorem.
This module presents students with a number of problems related to statistical sampling and data. In particular, students are asked to demonstrate understanding of concepts such as frequency, relative frequency, and cumulative relative frequency, random samples, quantitative vs. qualitative data, continuous vs. discrete data, and other key terms related to sampling and data. The module is based on the module Sampling and Data: Homework from the textbook collection Collaborative Statistics by Susan Dean and Dr. Barbara Illowsky; additional problems have been added to the original module.
Students learn about one method used in environmental site assessments. They practice soil sampling by creating soil cores, studying soil profiles and characterizing soil profiles in borehole logs. They use their analysis to make predictions about what is going on in the soil and what it might mean to an engineer developing the area.
Students use DNA profiling to determine who robbed a bank. After they learn how the FBI's Combined DNA Index System (CODIS) is used to match crime scene DNA with tissue sample DNA, students use CODIS principles and sample DNA fragments to determine which of three suspects matches evidence obtain at a crime location. They communicate their results as if they were biomedical engineers reporting to a police crime scene investigation.
