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Mathematicians have skills that, if deepened in the right ways,
would enable them to use data to answer questions important to them
and others, and report those answers in compelling ways. Data
science combines parts of mathematics, statistics, computer
science. Gaining such power and the ability to teach has
reinvigorated the careers of mathematicians. This handbook will
assist mathematicians to better understand the opportunities
presented by data science. As it applies to the curriculum,
research, and career opportunities, data science is a fast-growing
field. Contributors from both academics and industry present their
views on these opportunities and how to advantage them.
Recipient of the Mathematical Association of America's Beckenbach
Book Prize in 2012! Group theory is the branch of mathematics that
studies symmetry, found in crystals, art, architecture, music and
many other contexts, but its beauty is lost on students when it is
taught in a technical style that is difficult to understand. Visual
Group Theory assumes only a high school mathematics background and
covers a typical undergraduate course in group theory from a
thoroughly visual perspective. The more than 300 illustrations in
Visual Group Theory bring groups, subgroups, homomorphisms,
products, and quotients into clear view. Every topic and theorem is
accompanied with a visual demonstration of its meaning and import,
from the basics of groups and subgroups through advanced structural
concepts such as semidirect products and Sylow theory.
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