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Free online courses and certificates from Harvard, Stanford, MIT, University of Pennsylvania and other top universities in United States. Learn Materials Science, Multivariable Calculus, Ordinary Differential Equations and other popular topics.
This course reviews the processing and structure of cellular materials as they are created from polymers, metals, ceramics, glasses, and composites, develops models for the mechanical behavior of cellular solids
This course covers vectors and matrices, partial derivatives, double and triple integrals, and vector calculus in 2 and 3-space.
This course focuses on the equations and techniques most useful in science and engineering, Differential equations.
A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science.
Explores mathematical methods for handling big data, from associative arrays and entity analysis to power-law and Kronecker graph generation.
This course is an investigation into the history and aesthetics of music and technology as deployed in experimental and popular musics from the 19th century to the present.
Explore the history and models of K-12 virtual instruction, compare synchronous and asynchronous tools, and tackle classroom-to-online transitions, equity and access, funding, and legal considerations.
UCI BioSci M121 covers the following topics: Antibodies, antigens, antigen-antibody reactions, cells and tissues of lymphoreticular and hematopoietic systems, and individual and collective components of cell-mediated and humoral immune response.
Learn the principles behind neuroimaging: structural and functional human neuroanatomy, cognitive domains, image formation physics, fMRI, diffusion tensor imaging, spectroscopy, PET, and experimental design.
This course examines the neural bases of sensory perception. The focus is on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans.
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.
In this course, we will explore what makes things in the world the way they are and why, to understand the science and consider the engineering.
In this course, we will investigate: Force and conservation laws.
Introduction to Psychology is a survey of the scientific study of human nature, including how the mind works, and how the brain supports the mind.
Master techniques for designing efficient algorithms: divide-and-conquer, randomization, dynamic programming, greedy methods, max flow, NP-completeness, approximation and distributed algorithms, cryptography, and cache-oblivious data structures.
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