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129 Algorithms Training Courses

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Learn C The Hard Way

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"Learn C The Hard Way" (available online at http://c.learncodethehardway.org) will introduce the C programming language to beginning/intermediate programmers who know one other language. It will teach modern well written C code as…

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The 7 Essential Steps To Getting Your Dream Career

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Tom Cassidy - Internationally Published Author, Thought Engineer, Reasonable Polymath, using algorithms to help people crack the deepest issues of their lives: self-worth, self-belief, goal-achieving, feeling good, achieving susta…

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Advanced C++ Programming Training Course

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You will learn advanced topics in this training course such as Polymorphism, creating templates, working with exception handling, stream input/output management, associative containers, algorithms, stacks, queues and binary trees,…

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Genome Sequencing (Bioinformatics II)

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We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. In the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome…

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Computational Neuroscience

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We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. The course is primarily aimed at third- or fourth-year undergraduates and begin…

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Approximation Algorithms Part II

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About this course: Approximation algorithms, Part 2 This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefin…

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Probabilistic Graphical Models 2: Inference

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About this course: Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: …

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C++ For C Programmers, Part A

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The examples and exercises require a basic understanding of algorithms and object-oriented software. Created by: University of California, Santa Cruz Taught by: Ira Pohl, Professor Computer Science Language English How To Pass Pas…

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Approximation Algorithms Part I

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About this course: Approximation algorithms, Part I How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? Thes…

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On Strategy : What Managers Can Learn from Great Philosophers

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Accounting, algorithms, processes, quarterly figures, market shares, stock options, currency exchange rates etc. In all those areas, strong management tools exist and allow leaders to track their activities, improve their strategy…

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Practical Machine Learning

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About this course: One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an …

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Artificial Intelligence Planning

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In this course, for example, you will learn the basic algorithms that are used in robots to deliberate over a course of actions to take. Simpler, reactive robots don't need this, but if a robot is to act intelligently, this type o…

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System Validation (2): Model process behaviour

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This MOOC shows you how to model process behaviour, in particular protocols and distributed algorithms, dive deeper in the properties of system behaviour, and keep things simple to avoid a state space explosion. Reading material. …

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Neural Networks for Machine Learning

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We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well. This course contains the same content presented on Coursera beginning in 2013. It is not a continuation or update of the original …

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Intro to Theoretical Computer Science

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You should have a basic understanding of algorithms (such as CS215) and programming (such as CS101). No prior knowledge about theoretical computer science required! What Will I Learn? At the end of this course, you will have a sol…