Day: February 16, 2019

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[Download] Next-generation sequencing course videos by Emily Perry

Next generation sequencing has become the premier tool in genetic and genomic analysis. This laboratory-based course is directed at scientists who will be generating and interpreting sequence information in their research and wish to gain a better understanding of the techniques involved and their applications.

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[Download] Democratic Development by Larry Diamond

Democratic Development is intended as a broad, introductory survey of the political, social, cultural, economic, institutional, and international factors that foster or obstruct the development, and consolidation, of democracy. Topics will be examined in historical and comparative perspective, and reference a variety of different national

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Programming/Coding

[Download] MIT OCW 6.006 – Introduction to Algorithms, Fall 2011 by Erik Demaine and Srini Devadas

Course Description This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques

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[Download] MIT OCW 7.014 – Introductory Biology by Professor Graham Walker, Professor Sallie W. Chisholm and Geraldine Martin

Course Description The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of

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[Download] MIT OCW 18.03 – Mathematics – Differential Equations by Prof. Haynes Miller and Prof. Arthur Mattuck

Course Description Differential Equations are the language in which the laws of nature are expressed. Understanding properties of solutions of differential equations is fundamental to much of contemporary science and engineering. Ordinary differential equations (ODE’s) deal with functions of one variable, which can often be

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[Download] Stanford EE364A – Convex Optimization I – Stephen Boyd

Concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interiorpoint

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