Computer Science: Artificial Intelligence, Robotics, Vision

 


 


Master Computer Science on Coursera




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E.g., 2017-08-20
E.g., 2017-08-20
E.g., 2017-08-20
Aug 28th 2017

How do you feel about robots? Learn how robotics is used today and explore how it might help solve the big issues of our time. Once only found in fiction, robots are being applied in an increasing array of ways in society, from mechanisation of industrial tasks to exploring places humans can’t go. This course starts with your perceptions of robotics, describes different types of robots, and leads into a discussion of the future: knowing we can use robots, should we?

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Aug 21st 2017

Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.

Average: 7.3 (6 votes)
Aug 21st 2017

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: 5.8 (5 votes)

Aug 21st 2017

¿Te gustaría construir un robot y controlarlo a través de tu celular? ¡Estás en el curso indicado! Aquí podrás armar y animar un robot además de controlarlo con tu teléfono móvil, aún cuando te encuentres lejos de éste.

Average: 1 (1 vote)
Aug 21st 2017

For many years now, people have been improving their tools, studying the forces of nature and bringing them under control, using the energy of the nature to operate their machines. Last century is noted for the creation of machines which can operate other machines. Nowadays the creation of devices that interact with the physical world is available to anyone. Our course consists of a series of practical problems on making things that work independently: they make their own decisions, act, move, communicate with each other and people around, and control other devices. We will demonstrate how to assemble such devices and programme them using the Arduino platform as a basis.

Average: 4 (2 votes)
Aug 14th 2017

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: 5 (4 votes)

Aug 14th 2017

Explore the role of robots and autonomous systems in the factories, homes, hospitals, schools or cars of our near future. In 2014, robot sales increased by 29%, the highest level ever recorded for one year. The global market for robotic systems in 2014 was worth over $35 billion. The development of these robots seeks to solve some of our most pressing human problems – they won’t turn us into Iron Man, but they will help us to perform critical, everyday tasks that we otherwise could not.

Average: 9 (3 votes)
Aug 14th 2017

¿Te interesa la visión por computador? ¿Te gustaría conocer qué métodos puedes utilizar para detectar y reconocer objetos en una imagen? En este curso te introducirás en los principios básicos de cualquier sistema automático de detección y reconocimiento de objetos en imágenes. A lo largo del curso analizaremos diferentes métodos de representación y clasificación que te permitirán abordar casos de aplicación de complejidad creciente.

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Aug 7th 2017

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: 7.7 (14 votes)
Aug 7th 2017

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: 7.2 (10 votes)
Aug 7th 2017

How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this module you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include probabilistic generative models, Bayesian filtering for localization and mapping.

Average: 2.5 (4 votes)

Aug 7th 2017

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

Average: 8.9 (7 votes)