Online courses directory (19947)

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.

This course introduces concepts, languages, techniques, and patterns for programming heterogeneous, massively parallel processors. Its contents and structure have been significantly revised based on the experience gained from its initial offering in 2012. It covers heterogeneous computing architectures, data-parallel programming models, techniques for memory bandwidth management, and parallel algorithm patterns.

A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc.  How do we design these complex chips?  Answer: CAD software tools.  Learn how to build these tools in this class.

In this course, you will learn the fundamental computer science principles that power today’s apps. You will also create your own Android app using Java and standard software development tools.

This is a survey of modern history from a global perspective. It begins with the revolutions of the late 1700s, tracks the transformation of the world during the 1800s, and analyzes the cataclysms of last century, concluding with the new phase of world history we are experiencing today.

An introduction to physics in the context of everyday objects.

An investigation of the nature and limits of self-knowledge from the viewpoints of philosophy, psychoanalysis, experimental psychology, neuroscience, aesthetics, and Buddhism.

This course focuses on the common growth challenges faced by existing private businesses when they attempt to grow substantially.

This course will look at how intelligent and innovative use of the ocean can sustainably deliver the key resources necessary to help meet some of the great challenges faced by humanity.

This course introduces the academic discipline of sustainability and explores how today’s human societies can endure in the face of global change, ecosystem degradation and resource limitations.

Planet Earth, an overview of selected geological topics, discusses how earthquakes, volcanoes, minerals and rocks, energy, and plate tectonics have interacted over deep time to produce our dynamic island in space, and its unique resources.

Why is Coursera offering this course free of charge? Why is the divorce rate so high? Why do we have so much pollution? Would legalizing marijuana lead to a reduction in crime? Why is a college education a smart investment, or is it? Why would a draft only damage the army? In the last 50 years economists have tackled some of the most interesting and important questions for humanity!

This is a organic chemistry course surveying introductory topics in structure and reactivity with an emphasis on structural fundamentals including electronic structure, conformation and stereochemistry.

Organic chemistry course surveying introductory topics in structure and reactivity with an emphasis on elementary reaction mechanisms.

Organic chemistry course covering intermediate topics in structure and reactivity with emphasis on electronic structure, pericyclic reactions and aromatic heterocycles.

Organic chemistry course covering intermediate topics in structure and reactivity with special applications to the life sciences.

Ce cours introduit la programmation orientée objet en l'illustrant en langage Java. Il présuppose connues les bases de la programmation (variables, types, boucles, fonctions, ...). Il est conçu comme la suite du cours «Initiation à la programmation (en Java)».

This course is about building 'web-intelligence' applications exploiting big data sources arising social media, mobile devices and sensors, using new big-data platforms based on the 'map-reduce' parallel programming paradigm. In the past, this course has been offered at the Indian Institute of Technology Delhi as well as the Indraprastha Institute of Information Technology Delhi.

In this introductory, self-paced course, you will learn multiple theories of organizational behavior and apply them to actual cases of organizational change.

Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.