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Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
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Discover quantum simulation methods for advancing chemistry and materials science research through computational approaches and theoretical frameworks.
Explore advanced quantum simulation techniques for quantum field theories in this comprehensive second-part lecture by Zohreh Davoudi from University of Maryland.
Discover tensor network methods for solving complex many-body quantum systems with practical computational techniques and theoretical foundations.
Dive into advanced tensor network methods for quantum many-body systems, exploring computational techniques and practical applications in quantum simulation.
Explore quantum simulation techniques for quantum field theories with expert insights from University of Maryland's Zohreh Davoudi in this comprehensive lecture.
Explore advanced Hamiltonian-oriented quantum algorithm design and implementation techniques for quantum simulation applications.
Discover Hamiltonian-oriented quantum algorithm design principles and implementation strategies for quantum simulation applications in this comprehensive academic presentation.
Explore polymer models in critical environments through statistical mechanics, examining directed polymers, KPZ universality theory, and fractal structures with novel mathematical approaches.
Explore quasi-isometric rigidity in random Bernoulli percolation on tree products, proving nonequivalence of independent samples in higher-rank settings.
Explore advanced mathematical analysis of planar Coulomb gas systems confined to Jordan arcs, featuring partition function asymptotics and Fredholm determinants.
Explore W-volume extensions for planar domains with circular boundaries, connecting Epstein maps, renormalized volume bounds for Schottky groups, and geometric interpretations of Loewner energy.
Explore the polynomial method for analyzing spectral gaps in random hyperbolic surfaces, connecting geometry to random matrix theory with explicit error rates.
Explore the length spectrum of random hyperbolic surfaces and their connection to short cycles in random metric maps, revealing surprising distributional similarities in high-genus cases.
Explore fundamental mathematical proofs and arithmetic foundations through advanced mathematical reasoning and rigorous demonstration techniques.
Explore atomic-scale electrochemical double layer properties through advanced modeling approaches including DFT, molecular dynamics, and machine learning techniques.
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