Courses tagged with "Engineering" (357)

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Starts : 2017-10-24
No votes
edX Free English Business & Management EdX Engineering Social Sciences WageningenX

The necessity to collaborate between various companies, sectors, and industries is one of the biggest challenges in order to create a sustainable supply chain. All around us we see new interesting collaborations: for instance, farmers and car industry collaborating on producing and using bio plastics. Until now, analysis of such network collaborations have hardly been studied and underpinned with hard numbers. In this course we learn how to assess collaboration networks in a structured, systematic (quantitative) way.

External factors like regulations, policies, culture, geography and characteristics of sectors are another big influence on the performance of such collaboration networks. We develop a framework which allows to assess the challenges and benefits of such systems.

Starts : 2017-02-03
No votes
edX Free English Business & Management DelftX Design EdX Engineering

Our global society is not sustainable. We all know about the challenges we’re facing: waste, climate change, resource scarcity, loss of biodiversity. At the same time, we want to sustain our economies and offer opportunities for a growing world population. This course is about providing solutions we really believe in: a Circular Economy.

In this course we explore the Circular Economy: how businesses can create value by reusing and recycling products, how designers can come up with amazingly clever solutions, and how you can contribute to make the Circular Economy happen. 

You will learn to re-think the economic system you’re experiencing every day, and act upon it. Be a leader in this major paradigm shift! Shape a more circular future together with our global network.

The course is led by TU Delft and co-created with the Ellen MacArthur Foundation and the Leiden-Delft-Erasmus Centre for Sustainability.

LICENSE

The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.

Starts : 2015-02-02
No votes
Coursera Free Closed [?] Computer Sciences English Computer Science Computer Science Engineering Information Software Engineering Tech & Design

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

Starts : 2015-03-16
No votes
Coursera Free Closed [?] Computer Sciences English Computer Science Computer Science Engineering Information Software Engineering Tech & Design

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

Starts : 2016-03-01
No votes
edX Free English EdX Engineering Medicine OsakaUx Social Sciences

Cognitive Neuroscience Robotics is an interdisciplinary area for development of new information and robot technology systems based on understanding higher functions of the human brain, with the integration of cognitive science, neuroscience, and robotics.

This course introduces Cognitive Neuroscience Robotics with two approaches: the synthetic and the analytic approach. The synthetic approach means an engineering approach to understand human cognitive functions synthetically, trying to understand human cognitive functions by replicating them as artificial systems and putting them into social environments. Specifically, it develops artificial systems such as robots based on findings in neuroscience and physiology, and investigates how they could acquire intelligent behaviors through interaction with others and the environment.

On the other hand, human cognitive activities are investigated analytically. They are supported by higher functions of the brain and have been examined by psychological experiments or brain imaging. With the analytic approach, psychologists, cognitive scientists, and medical doctors are pursuing an understanding of the mechanism of the mind and its biological basis, with the help of engineering and philosophy.

This program will help students make a basis for interdisciplinary research by providing opportunities to understand what is undertaken in other disciplines and how to collaborate and exchange ideas with people from other disciplines. We expect many motivated students to apply.

Starts : 2016-12-05
No votes
edX Free English EdX Engineering RWTHx

In this engineering course, we will cover all aspects of communication acoustics, which is the way sounds travels from a source, through a channel and finally to a receiver. We will look at the different system components involved in acoustic communication, including those between humans, between humans and machines, and between machines. This includes:

  • speech acoustics
  • hearing acoustics
  • electroacoustics
  • spatial sound capture and presentation
  • simulation of acoustical environments
  • the human auditory system
  • digital audio processing methods

You will learn from top experts in the field of communication acoustics, who are all affiliated with TU9, the nine leading Universities of Technology in Germany. Together, they have pooled their expertise in order to teach a comprehensive basic understanding and indicate current research trends to you.

After completion of the course, you will have gained a broad understanding of the involved subdomains, and will be ready to pick a specialization for future in-depth study.

Starts : 2014-11-03
No votes
Stanford Online. OpenEdX Free Closed [?] Computer Sciences Engineering OpenEdX Stanford

This course discusses ideas in the implementation of compilers. Learn how a program for humans is translated into a program more suited to machines!

Starts : 2014-11-18
No votes
edX Free Closed [?] Engineering English EdX UWashingtonX

*Note - This is an Archived course*

This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course.


Composites are used in many industries today to enable high-performance products at economic advantage. These industries range from space to sports and include manufactured products for aircraft, transportation, energy, construction, sports, marine, and medical use. There are many material, economic and aesthetic advantages to using composites, but a solid knowledge of the physical properties, including the mechanics, tooling, design, inspection & repair, and manufacturing options is required for working in this medium as they are intrinsically linked.

This course provides an introduction to the fundamentals of composite materials for high performance structures from the point of view of Aerospace engineering design, manufacturing, and repair. It is designed to address critical areas of composite technologies that focus on materials, manufacturing, mechanics, design, inspection, and repair.  In this course students will learn how composite materials achieve properties of strength, weight ratios and durability that surpass aluminum in aircraft design.  For these high performance applications engineers typically rely on laminated structures, which are built up from many varying layers of ply-materials. Using this process the mechanical properties of the composite part can be tailored to specific applications resulting in significant weight and cost savings. Tailoring specific properties and designing innovative laminate structures highlights the multidisciplinary nature of this industry and how it touches the expertise of many disciplines including engineers, mechanics, and inspection specialists.

After successfully completing this course, students will be able to identify the unique characteristics of composites and understand how advanced composite structures are designed, manufactured and maintained.

 

Who Can Take This Course?

Unfortunately, learners from Iran, Sudan, Cuba and the Crimea region of Ukraine will not be able to register for this course at the present time. While edX has received a license from the U.S. Office of Foreign Assets Control (OFAC) to offer courses to learners from Iran, Sudan and Cuba, our license does not cover this course. Separately, EdX has applied for a license to offer courses to learners in the Crimea region of Ukraine, but we are awaiting a determination from OFAC on that application. We are deeply sorry the U.S. government has determined that we have to block these learners, and we are working diligently to rectify this situation as soon as possible.

Starts : 2015-10-17
No votes
Coursera Free Engineering French Information Tech & Design

Ce cours donne les bases théoriques et pratiques nécessaires à une bonne compréhension et utilisation des microcontrôleurs. De nombreux exemples seront abordés. Des exercices seront proposés, compatibles avec les cartes à microcontrôleurs Arduino ou LaunchPad MSP430G.

Starts : 2016-09-06
No votes
edX Free English Computer Science EdX Electronics Engineering MITx

Digital systems are at the heart of the information age in which we live, allowing us to store, communicate and manipulate information quickly and reliably. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. If you have a rudimentary knowledge of electricity and some exposure to programming, roll up your sleeves, join in and design a computer system!

This is Part 1 of a 3-part series on digital systems, teaching the fundamentals of digital circuit design and is based on a course offered by the MIT Department of Electrical Engineering and Computer Science. Topics include digital encoding of information, principles of digital signaling; combinational and sequential logic, implementation in CMOS, useful canonical forms, synthesis; latency, throughput and pipelining.

Using your browser for design entry and simulation, you’ll get to design and debug circuits at both the transistor- and gate-level, culminating in the creation of a 32-bit arithmetic and logic unit.

 

Learner Testimonial

“This course is like a dream coming true...as kid (10 - 12 years) I was already building circuits and reading books about Digital Circuits. Due to all kind of circumstances I never got to pursue a study and career in electronics ...now I am almost 50... I see this as a second chance. Thank you very very much for this awesome course. One of the best, (if not the best) MOOCs I've ever taken.” -- Previous Student

Starts : 2016-11-29
No votes
edX Free English Computer Science EdX Electronics Engineering MITx

Digital systems are at the heart of the information age in which we live, allowing us to store, communicate and manipulate information quickly and reliably. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. If you have a rudimentary knowledge of electricity and some exposure to programming, roll up your sleeves, join in and design a computer system!

This is Part 2 of a 3-part series on digital systems, teaching the fundamentals of computer architecture and is based on a course offered by the MIT Department of Electrical Engineering and Computer Science. Topics include instruction set architectures and assembly language, stacks and procedures, 32-bit computer architecture, the memory hierarchy, and caches.

Using your browser for design entry and simulation, you’ll implement a 32-bit computer using our gate library and write assembly language programs to explore the hardware/software interface.

 

Learner Testimonial

“If you look back, we've done sooooo much: assembly programming, stack crawling (detective work), building a 32-bit computer, for crying out loud, and also learnt about caches as the cherry on top (which really helped me because I always had trouble understanding how temporary memory worked). And to top it off, they're promising us more exciting courses in the future.” -- Previous Student

Starts : 2017-02-28
No votes
edX Free English Computer Science EdX Electronics Engineering MITx

Digital systems are at the heart of the information age in which we live, allowing us to store, communicate and manipulate information quickly and reliably. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. If you have a rudimentary knowledge of electricity and some exposure to programming, roll up your sleeves, join in and design a computer system!

This is Part 3 of a 3-part series on digital systems, providing an introduction to the hardware/software interface and is based on a course offered by the MIT Department of Electrical Engineering and Computer Science. Topics include pipelined computers, virtual memories, implementation of a simple time-sharing operating system, interrupts and real-time, and techniques for parallel processing.

Using your browser for design entry and simulation, you’ll optimize your processor design from Part 2 for size and speed, and make additions to a simple time-sharing operating system.

 

Learner Testimonial

"Out of the many edX courses I have taken, the first two parts of 6.004x were clearly the best. I am looking forward to the third part.” -- Previous Student

Starts : 2015-05-01
93 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Biology & Life Sciences Computer Science Engineering Mathematics Medicine

Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.

Starts : 2016-09-12
No votes
edX Free English Computer Science Data Analysis & Statistics EdX Engineering MITx

Probability and inference are used everywhere. For example, they help us figure out which of your emails are spam, what results to show you when you search on Google, how a self-driving car should navigate its environment, or even how a computer can beat the best Jeopardy and Go players! What do all of these examples have in common? They are all situations in which a computer program can carry out inferences in the face of uncertainty at a speed and accuracy that far exceed what we could do in our heads or on a piece of paper.

In this data analysis and computer programming course, you will learn the principles of probability and inference. We will put these mathematical concepts to work in code that solves problems people care about. You will learn about different data structures for storing probability distributions, such as probabilistic graphical models, and build efficient algorithms for reasoning with these data structures.

By the end of this course, you will know how to model real-world problems with probability, and how to use the resulting models for inference.

You don’t need to have prior experience in either probability or inference, but you should be comfortable with basic Python programming and calculus.

 

“I love that you can do so much with the material, from programming a robot to move in an unfamiliar environment, to segmenting foreground/background of an image, to classifying tweets on Twitter—all homework examples taken from the class!” – Previous Student in the residential version of this new online course.

Starts : 2014-09-20
115 votes
Coursera Free Closed [?] Computer Sciences English Computer Science Engineering Systems & Security

In this course, you will learn to design the computer architecture of complex modern microprocessors.

Starts : 2014-01-06
98 votes
Coursera Free Computer Sciences English Computer Science Engineering Information Systems & Security Tech & Design

The Internet is a computer network that millions of people use every day. Understand the design strategies used to solve computer networking problems while you learn how the Internet works.

13 votes
Udemy Free Closed [?] Engineering Computer Architecture Computer Science Systems & Security Technology

Lecture Series on Computer Architecture by Prof. Anshul Kumar, Department of Computer Science & Engineering ,IIT Del

9 votes
Udemy Free Closed [?] Computer Sciences Computer Science Engineering Information Networks Systems & Security Tech & Design

Lecture Series on Computer Networks by Prof. S.Ghosh,Department of Computer Science & Engineering, I.I.T.,Kharagpur.

Starts : 2014-07-15
No votes
Stanford Online. OpenEdX Free Closed [?] Computer Sciences Engineering OpenEdX Stanford

Introduction to Computer Science for a zero-prior-experience audience. Play with little phrases of code to understand what computers are all about.

No votes
Coursera Free Closed [?] Health and Welfare English Engineering Medicine

A non-technical introduction to the contemporary application of computing to healthcare delivery, public health and community-based clinical research.