Sentence examples for this module explores from inspiring English sources

This module explores some of the resources available to achieve this.

This module explores topics in elementary graph theory, linear algebra, modern and polynomial algebra, combinatorics, linear programming, and algebraic statistics through applications to a central and profound problem in biology: the determination of hereditary relationships among organisms through the alignment of DNA sequences from creatures currently in existence.

Specifically, this module explored the role of culture and health and presented evidence that the experience of illness and perception of disease varies by culture and that culture influences help seeking and health care utilization.

Because performance goals and incentives define success (and failure) for individuals, this module also explores the interaction of goals and incentives with human behavior.

Called the Dream-Design-Discover programs and fondly nicknamed a "mini D-Lab," each module explores a topic in-depth for two weeks with nearly 40 junior and senior designers, ages five to nine.

The second part of the GRP module explores potential evidence of in situ change in cranial morphology and genetic variation.

Learn more about transitional features in Understanding macroevolution through evograms, a module exploring five examples of major evolutionary transitions in the fossil record.

A study of introductory biology students (both majors and nonmajors) attending a public university in Wisconsin who completed a special module exploring macroevolution and its misconceptions (Abraham et al., 2012), also employing a pretest versus posttest design, deserves special mention given the similarities to our experiment.

Contents: This module introduces and explores the general steps of health inequality monitoring, followed by a comprehensive applied example of health inequality monitoring in the Philippines.

In this module, you will explore key concepts in performance measurement, research design, and data analysis (qualitative and quantitative) to understand what can be gleaned from different sources.

In this module, you'll explore the core concepts of machine learning – an AI technology which aims to design, understand, and use computer programs to learn from experience.