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A unique graduate cosmology textbook that integrates theory with modern, data-driven, computational techniques. This approach, combined with student-friendly pedagogy, helps the reader build intuitive connections between data and theory. Worked examples, computational problems, data sets, and computer code enhance the learning experience.

Produktbeschreibung
A unique graduate cosmology textbook that integrates theory with modern, data-driven, computational techniques. This approach, combined with student-friendly pedagogy, helps the reader build intuitive connections between data and theory. Worked examples, computational problems, data sets, and computer code enhance the learning experience.
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Autorenporträt
Dragan Huterer is a professor of physics at the University of Michigan, where he studies cosmology at the interface of theory and data. He is a leading expert in developing data-driven techniques to understand the nature and origin of 'dark energy,' a component that dominates the dynamics of the universe and causes its accelerated expansion. A fellow of the American Physical Society, he is also a recipient of the University of Michigan's Henry Russel Award and the Humboldt Foundation's Friedrich Wilhelm Bessel Award.