Online courses directory (224)

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Starts : 2014-09-12
324 votes
Coursera Free Popular Closed [?] Business English Artificial Intelligence Computer Science Economics & Finance

Find out how modern electronic markets work, why stock prices change in the ways they do, and how computation can help our understanding of them.  Build algorithms and visualizations to inform investing practice.

Starts : 2015-09-04
308 votes
Coursera Free Popular Closed [?] Computer Sciences English Computer Science Computer Science Software Engineering Theory

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

Starts : 2016-03-16
306 votes
Coursera Free Popular Closed [?] Computer Sciences English Computer Science Computer Science Software Engineering Theory

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

Starts : 2015-10-05
297 votes
Coursera Free Popular Closed [?] Computer Sciences English Computer Science Theory

In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), randomized algorithms, and more.

Starts : 2016-06-07
274 votes
edX Free Closed [?] Computer Sciences English Computer Science EdX HarveyMuddX

Looking to get started with computer science while learning to program in Python?

This computer science  course provides an introduction to computer science that’s both challenging and fun. It takes a broad look at the field of computer science through a variety of demonstrations and projects. We’ll cover both low- and high-level concepts, from how the circuits inside a computer represent data to how to design algorithms, as well as how all of this information affects the technology we use today. Additionally, we’ll teach the basics of Python programming, giving us a a way to put our new CS knowledge into practice.

No need to know any programming before starting the course; we’ll teach everything you need to know along the way. All you need to start is a good grasp of algebra, and you can fall in love with both the concepts and the practice of computer science.

Starts : 2016-01-04
116 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Computer Science Engineering Mathematics

In this class you will look behind the scenes of image and video processing, from the basic and classical tools to the most modern and advanced algorithms.

109 votes
Khan Academy Free Closed [?] Computer Sciences Applied Math Primality Testing Qa testing Testing

Why do Primes make some problems fundamentally hard? Build algorithms to find out!. Primality Test. Running Time. Computer Memory (space). Algorithmic Efficiency. Sieve of Eratosthenes. Primality Test with Sieve. The Prime Number Theorem. Time Space Tradeoff. Conditional Probability Visualized.

106 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Computer Science Statistics and Data Analysis

Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones. Enjoy!

Starts : 2015-03-16
105 votes
Coursera Free Closed [?] Computer Sciences English Computer Science Theory

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 design and analysis of heuristics; and more.

Starts : 2015-03-04
105 votes
Coursera Free Computer Sciences English Artificial Intelligence Computer Science

Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization concepts and algorithms, including constraint programming, local search, and mixed-integer programming.

100 votes
Udacity Free Closed [?] Computer Sciences Software Engineering

Ever played the Kevin Bacon game? This class will show you how it works by giving you an introduction to the design and analysis of algorithms, enabling you to discover how individuals are connected.

Starts : 2013-02-08
99 votes
Coursera Free Closed [?] Computer Sciences Combinatorics Mathematics

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. Part I covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

Starts : 2012-04-23
98 votes
Coursera Free Closed [?] Computer Sciences Artificial Intelligence Computer Science

In this course, we will study the concepts and algorithms behind some of the remarkable successes of computer vision - capabilities such as face detection, handwritten digit recognition, reconstructing three-dimensional models of cities and more.

98 votes
Udacity Free Closed [?] Computer Sciences Software Engineering

Learn the fundamentals of parallel computing with the GPU and the CUDA programming environment! In this class, you'll learn about parallel programming by coding a series of image processing algorithms, such as you might find in Photoshop or Instagram. You'll be able to program and run your assignments on high-end GPUs, even if you don't own one yourself. **Why It’s Important to Think Parallel** [Third Pillar of Science][1] Learn how scientific discovery can be accelerated by combining theory and experimentation with computing to fight cancer, prevent heart attacks, and spur new advances in robotic surgery. [1]: http://www.youtube.com/watch?v=3DbAB2ChDBw

Starts : 2012-10-01
95 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Computer Science Statistics and Data Analysis

Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

Starts : 2012-03-12
95 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Computer Science

In this class, you will learn fundamental algorithms and mathematical models for processing natural language, and how these can be used to solve practical problems.

Starts : 2013-01-01
94 votes
Coursera Free Closed [?] Computer Sciences Artificial Intelligence Computer Science

This course delivers a systematic overview of computer vision, emphasizing two key issues in modeling vision: space and meaning. We will study the fundamental theories and important algorithms of computer vision together, starting from the analysis of 2D images, and culminating in the holistic understanding of a 3D scene.

Starts : 2013-08-11
80 votes
edX Free Closed [?] Physical Sciences English Computer Science EdX Math Physics UC BerkeleyX

Quantum computation is a remarkable subject building on the great computational discovery that computers based on quantum mechanics are exponentially powerful. This course aims to make this cutting-edge material broadly accessible to undergraduate students, including computer science majors who do not have any prior exposure to quantum mechanics. The course starts with a simple introduction to the fundamental principles of quantum mechanics using the concepts of qubits (or quantum bits) and quantum gates. This treatment emphasizes the paradoxical nature of the subject, including entanglement, non-local correlations, the no-cloning theorem and quantum teleportation. The course covers the fundamentals of quantum algorithms, including the quantum fourier transform, period finding, Shor's quantum algorithm for factoring integers, as well as the prospects for quantum algorithms for NP-complete problems. It also discusses the basic ideas behind the experimental realization of quantum computers, including the prospects for adiabatic quantum optimization and the D-Wave controversy.

Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.

Do I need a textbook for this class?
No. Notes will be posted each week. If you wish to consult other references, a list of related textbooks and online resources will be provided.

What is the estimated effort for course?
About 5-12 hrs/week.

Why is the work load range so wide?
How long you spend on the course depends upon your background and on the depth to which you wish to understand the material. The topics in this course are quite open ended, and will be presented so you can understand them at a high level or can try to follow it at a sophisticated level with the help of the posted notes.

How much does it cost to take the course?
Nothing! The course is free.

Will the text of the lectures be available?
Yes. All of our lectures will have transcripts synced to the videos.

Do I need to watch the lectures live?
No. You can watch the lectures at your leisure.

52 votes
Khan Academy Free Closed [?] Computer Sciences Advanced Algorithms Algorithms Applied Math Computer Science Randomized Algorithms Software Engineering

Starts : 2014-10-20
42 votes
Coursera Free Closed [?] Computer Sciences English Biology & Life Sciences Computer Science Computer Science Information Mathematics Software Engineering

This course was the first in a two-part series covering some of the algorithms underlying bioinformatics. It has now been split into three smaller courses.

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