Master Computer Science on Coursera




E.g., 2016-09-26
E.g., 2016-09-26
E.g., 2016-09-26
Oct 3rd 2016

How can we make robots see like we do? Learn how we make robots perceive the world around them in this exciting six-week course, delivered by Professor Peter Corke. Robotic Vision introduces you to the field of computer vision and the mathematics and algorithms that underpin it. You'll learn how to interpret images to determine the colour, size, shape and position of objects in the scene.We'll work with you to build an intelligent vision system that can recognise objects of different colours and shapes.

Average: 9.8 (4 votes)
Sep 26th 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: 6.7 (3 votes)
Sep 26th 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.

No votes yet
Sep 26th 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.

Average: 9 (2 votes)
Sep 26th 2016

This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory.

Average: 10 (2 votes)
Sep 26th 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)
Sep 19th 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)
Sep 19th 2016

¿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.

No votes yet
Sep 19th 2016

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.

No votes yet
Sep 12th 2016

¿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.

No votes yet
Sep 12th 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)
Sep 12th 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: 7.4 (9 votes)
Sep 12th 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: 6.9 (7 votes)
Sep 5th 2016

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

Average: 9 (5 votes)
Sep 5th 2016

Recommender systems have changed the way people find products, information, and even other people. They study patterns of behavior to know what someone will prefer from among a collection of things he has never experienced. The technology behind recommender systems has evolved over the past 20 years into a rich collection of tools that enable the practitioner or researcher to develop effective recommenders. We will study the most important of those tools, including how they work, how to use them, how to evaluate them, and their strengths and weaknesses in practice.

No votes yet
Sep 5th 2016

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.

No votes yet
Aug 15th 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)
Jul 18th 2016

This course is an introduction to the exciting world of robotics and the mathematics and algorithms that underpin it. You’ll develop an understanding of the representation of pose and motion, kinematics, dynamics and control. You’ll also be introduced to the variety of robots and the diversity of tasks to which this knowledge and skills can be applied, the role of robots in society, and associated ethical issues.

Average: 7.5 (6 votes)
Self-Paced until 26 Aug 2016

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: 9.5 (2 votes)
Jun 20th 2016

Explore the history, anatomy and intelligence of robots with this free online course. Test drive robots using exciting simulations. Robots today are roving Mars, collecting data in dangerous environments, hoovering our floors, lifting patients in hospital, building cars and entertaining us in films. And, if you share Bill Gates and Stephen Hawking’s world view, the super intelligent ones may one day bring about the end of the human race.

Average: 10 (1 vote)

Pages

 

Tell your friends: