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Introducción a la genética y la evolución
Introduction to Genetics and Evolution
Machine Learning Foundations: A Case Study Approach
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MIT OpenCourseWare is an initiative to make course materials from all MIT subjects freely available on the web, so that anyone can access and use them.
This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.
This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.
This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.
This course introduces students to the modeling, quantification, and analysis of uncertainty.
The course focuses on the application of fundamental principles, toward an understanding of microorganisms as geochemical agents responsible for the evolution and renewal of the biosphere and of their role in human health and disease.
This course examines the chemical and physical properties of the cell, with special emphasis on the structures of proteins and principles of catalysis.
This course provides an introduction to the chemistry of biological, inorganic, and organic molecules.
This course is an introduction to quantum mechanics for use by chemists. Emphasis is on creating and building confidence in the use of intuitive pictures.
This course covers theories about the form that settlements should take and attempts a distinction between descriptive and normative theory by examining examples of various theories of city form over time.
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.
This course examines the choices and constraints regarding sources and uses of energy by households, firms, and governments through a number of frameworks to describe and explain behavior at various levels of aggregation.
Introductory Biology provides an introduction to fundamental principles of biochemistry, molecular biology, and genetics for understanding the functions of living systems.
This introductory calculus course covers differentiation and integration of functions of one variable, with applications.
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.
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