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188 Algorithms Training Courses (Page 6)

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Oracle Insurance: Introduction to Insbridge Rate Manager

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In this course participants will learn the steps to build RateManager algorithms including the following: creation and maintenance of Programs, organization of global inputs, variables and results, mapping tables, creating calcula…

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Algorithmic Thinking (Part 2)

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As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to…

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Algorithms, Part II

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Baker Professor of Computer Science at Princeton, where he was the founding chair of the Department of Computer Science. He received the Ph.D. degree from Stanford University, in 1975. Prof. Sedgewick also served on the faculty at…

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Discrete Optimization

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About this course: Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization…

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Statistical Mechanics: Algorithms and Computations

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About this course: In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that yo…

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Algorithms: Design and Analysis, Part 1

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In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures, randomized algorithms, and more. About the Course In this course you will l…

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Computational Neuroscience

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Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab demonstrations and…

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Kinematics: Describing the Motions of Spacecraft

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Kinematics is a field that develops descriptions and predictions of the motion of these bodies in 3D space. This course in Kinematics covers four major topic areas: an introduction to particle kinematics, a deep dive into rigid bo…

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Data-driven Astronomy

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In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The f…

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Advanced Trading Algorithms

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You will be taught how to differentiate between mere data mining and results based on solid empirical or theoretical foundation. Next, you will learn the ways and means of back testing the results and subjecting the back test resu…

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Algorithms, Part I

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Created by: Princeton University Taught by: Kevin Wayne, Senior Lecturer Computer Science Taught by: Robert Sedgewick, Professor Computer Science Level Intermediate Commitment 6 weeks of study, 6–10 hours per week. Language Englis…

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Algorithms for DNA Sequencing

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We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets. Created by: Johns Hopkins University Taught by: Ben Langmead, PhD, Assistant Professor Computer Science Ta…

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Algorithms: Design and Analysis, Part 2

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In this course you will learn several fundamental principles of advanced algorithm design: greedy algorithms and applications; dynamic programming and applications; NP-completeness and what it means for the algorithm designer; the…

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Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

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In a University computer science curriculum, this course is typically taken in the third year. Created by: Stanford University Taught by: Tim Roughgarden, Professor Computer Science Basic Info Course 3 of 4 in the Algorithms Speci…