Master Computer Science on Coursera




E.g., 2016-06-05
E.g., 2016-06-05
E.g., 2016-06-05
May 9th 2016

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies.

Average: 3.5 (4 votes)
May 9th 2016

How can robots use their motors and sensors to move around in an unstructured environment? You will understand how to design robot bodies and behaviors that recruit limbs and more general appendages to apply physical forces that confer reliable mobility in a complex and dynamic world.

Average: 5 (1 vote)
May 9th 2016

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot's behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals.

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May 9th 2016

How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments.

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May 9th 2016

Control of Mobile Robots is a course that focuses on the application of modern control theory to the problem of making robots move around in safe and effective ways. The structure of this class is somewhat unusual since it involves many moving parts - to do robotics right, one has to go from basic theory all the way to an actual robot moving around in the real world, which is the challenge we have set out to address through the different pieces in the course.

Average: 5.7 (3 votes)
May 2nd 2016

Case Studies: Analyzing Sentiment & Loan Default Prediction
In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank.

Average: 10 (1 vote)
Apr 25th 2016

Discover the world of mobile robots - how they move, how they interact with the world, and how to build them! From the surface of Mars to your living room floor, mobile robots can be found in some surprising places. Together we’ll explore how and why. We’ll look at how robots move, how they sense the world around them and how they make decisions. Then we’ll put all this together and apply what we’ve learned to build our own mobile robot.

Average: 6.8 (6 votes)
Apr 25th 2016

Explore key ideas in game design, programming, architecture, game engines, player experience and game AI. There are lots of different skills that go into game development. This subject is about key technical concepts in game development, and has been developed for people of many different backgrounds and skills. Some programming experience would be nice but is not required. We start by looking at the central role of game design and common development processes used in the industry. You will see how game software can be broken into parts that work together, and in particular the idea of game engines. We’ll explore the relationship between game design, balance and player experience. Lastly we’ll look at enhancing player experience though the use of AI techniques.

Average: 8 (6 votes)
Apr 25th 2016

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools.

Average: 7 (2 votes)
Apr 18th 2016

Explore how to integrate works of art into your classroom with inquiry-based teaching methods originally developed for in-gallery museum education.

Average: 8.7 (3 votes)
Self Paced

Have you ever wanted to build a new musical instrument that responded to your gestures by making sound? Or create live visuals to accompany a dancer? Or create an interactive art installation that reacts to the movements or actions of an audience? If so, take this course! In this course, students will learn fundamental machine learning techniques that can be used to make sense of human gesture, musical audio, and other real-time data.

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Mar 28th 2016

Learn about General Game Playing (GGP) and develop GGP programs capable of competing against humans and other programs in GGP competitions.

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Mar 14th 2016

Aimed at a general business audience, this course demystifies artificial intelligence, provides an overview of a wide range of cognitive technologies, and offers a framework to help you understand their business implications. Some experts have called artificial intelligence "more important than anything since the industrial revolution."[i] That makes this course essential for professionals working in business, operations, strategy, IT, and other disciplines. Throughout the course, participants will build a knowledge base on cognitive technologies to equip them to engage in discussions with colleagues, customers, and suppliers and help them shape cognitive technology strategy in their organization.

Average: 8.6 (5 votes)
Mar 1st 2016

Learn how engineering and medicine can combine to create new robotic technology.

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Feb 22nd 2016

Explore the history, anatomy and intelligence of robots with this free online course. Test drive robots using exciting simulations.

Average: 10 (1 vote)
Feb 22nd 2016

Learn the technology of modelling, as used in computational face recognition or in surgeries, with this free online course.

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Self Paced

A self-managed MOOC where you organize your own study schedule and learning journey (through the content provided). The amount of data generated by the information society is growing day by day, and will continue to grow thanks to the explosion of social networks, the smarts cities, the big data, mobile devices, sensors, etc. This exponential increase in the volume of data that are generated makes it imperative the use of systems that are capable of analysing and turn them into useful information. For this reason, our society, our businesses and institutions need intelligence at the moment to integrate within their organizational processes and decision, and this involves integrating tools of business analytics or smart data. This course provides an introduction to these tools of business intelligence, the associated main methodologies and current trends within this area.

Average: 10 (1 vote)
Feb 8th 2016

Mobile Robots are increasingly working in close interaction with human beings in environments as diverse as homes, hospitals, public spaces, public transportation systems and disaster areas. The situation is similar when it comes to Autonomous Vehicles, which are equipped with robot-like capabilities (sensing, decision and control). Such robots must balance constraints such as safety, efficiency and autonomy, while addressing the novel problems of acceptability and human-robot interaction. Given the high stakes involved, developing these technologies is clearly a major challenge for both the industry and the human society.

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Jan 20th 2016

Build real-world embedded solutions using a bottom-up approach from simple to complex in this hands-on, lab-based course.

Average: 3.6 (5 votes)
Jan 8th 2016

This advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making), mechanism design, and auctions.

Average: 7 (2 votes)

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