Courses tagged with "How to Succeed" (381)

Develop expertise in basic magnetic resonance imaging (MRI) physics and principles and gain knowledge of many different data acquisition strategies in MRI

Learn about the key elements of a solid waste management system, with a focus on challenges of and solutions for urban settlements of low and middle income countries. All of this with numerous case examples from around the globe and lots of fun!

Fundamentals of nanomanufacturing technology and applications.

This engineering course is an introduction to photonic materials and devices structured on the wavelength scale. Generally, these systems will be characterized as having critical dimensions at the nanometer scale. These can include nanophotonic, plasmonic, and metamaterial components and systems.

This course may be useful for advanced undergraduates with the prerequisites listed below; graduate students interested in incorporating these techniques into their thesis research; and practicing scientists and engineers developing new experiments or products based on these ideas.

Learn about novel sensing tools that make use of nanotechnology to screen, detect and monitor various events in personal or professional life. Together, we will lay the groundwork for infinite innovative applications, starting from diagnosis and treatments of diseases, continuing with quality control of goods and environmental aspects, and ending with monitoring security issues.

The transistor has been called the greatest invention of the 20^th century – it enables the electronics systems that have shaped the world we live in. Today’s nanotransistors are a high volume, high impact success of the nanotechnology revolution. If you are interested in understanding how this scientifically interesting and technologically important nano-device operates, this course is for you!

This nanotechnology course provides a simple, conceptual framework for understanding the essential physics of nanoscale transistors.  It assumes only a basic background in semiconductor physics and provides an opportunity to learn how some of the fascinating new discoveries about the flow of electrons at the nanoscale plays out in the context of a practical device.

The course is divided into four units:

• Transistors fundamentals
• Transistor electrostatics
• Ballistic MOSFETs
• Transmission theory of the MOSFET

The first two units provide an introduction for students with no background in transistors or a quick review for those familiar with transistors.  The third unit treats the ballistic transistor in which electrons move without resistance (in the traditional sense). The last unit uses that Landauer Approach to electron transport, which was developed to understand some striking experiments in nanophysics, to develop an understanding of how electrons flow in modern nanotransistors.  This short course describes a way of understanding MOSFETs that is much more suitable than traditional approaches when the channel lengths are of nanoscale dimensions. Surprisingly, the final result looks much like the traditional, textbook, MOSFET model, but the parameters in the equations have simple, clear interpretations at the nanoscale.

My objective for this course is to provide students with an understanding of the essential physics of nanoscale transistors as well as some of the practical technological considerations and fundamental limits. The goal is to do this in a way that is broadly accessible to students with only a very basic knowledge of semiconductor physics and electronic circuits. The course is designed for anyone seeking a sound, physical, but simple understanding of how nanoscale transistors operate. The course should be useful for advanced undergraduates, beginning graduate students, as well as researchers and practicing engineers and scientists.

This course is the latest in a series offered by the nanoHUB-U project which is jointly funded by Purdue and NSF with the goal of transcending disciplines through short courses accessible to students in any branch of science or engineering. These courses focus on cutting-edge topics distilled into short lectures with quizzes and practice exams.

Nanotechnology is an emerging area that engages almost every technical discipline – from chemistry to computer science – in the study and application of extremely tiny materials.  This short course allows any technically savvy person to go one layer beyond the surface of this broad topic to see the real substance behind the very small.

An introductory computer networking course focusing on how the Internet works and the principles of designing networks and network protocols.

An introductory computer networking course focusing on how the Internet works and the principles of designing networks and network protocols.

Explore the complexity and challenges of infrastructure systems (Transport, Energy, IT/Telecom and Water) in the 21st century.

S3: Smart, secure and sustainable. The potential role and impact of smart grids, eco-cities, flexible infrastructures and ICT

An advanced introduction to nonlinear dynamics, with emphasis on methods used to analyze chaotic dynamical systems encountered in science and engineering.

This engineering course is designed to Introduce students to a range of concepts, ideas and models used in nuclear reactor physics. This course will focus on the physical theory of reactors and methods of experimental studies of the neutron field. This course course is based on the course “Neutron transport theory” which has been taught at the National Research Nuclear University “MEPhI” for the past 20 years.

Are you an engineer, scientist or technician? Are you dealing with measurements or big data, but are you unsure about how to proceed? This is the course that teaches you how to find the best estimates of the unknown parameters from noisy observations. You will also learn how to assess the quality of your results.

TU Delft’s approach to observation theory is world leading and based on decades of experience in research and teaching in geodesy and the wider geosciences. The theory, however, can be applied to all the engineering sciences where measurements are used to estimate unknown parameters.

The course introduces a standardized approach for parameter estimation, using a functional model (relating the observations to the unknown parameters) and a stochastic model (describing the quality of the observations). Using the concepts of least squares and best linear unbiased estimation (BLUE), parameters are estimated and analyzed in terms of precision and significance.

The course ends with the concept of overall model test, to check the validity of the parameter estimation results using hypothesis testing. Emphasis is given to develop a standardized way to deal with estimation problems. Most of the course effort will be on examples and exercises from different engineering disciplines, especially in the domain of Earth Sciences.

This course is aimed towards Engineering and Earth Sciences students at Bachelor’s, Master’s and postgraduate level.

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.

In this engineering course, you will learn about photodetectors, solar cells (photovoltaics), displays, light emitting diodes, lasers, optical fibers, optical communications, and photonic devices.

This course is part of a three-part series, which explains the basis of the electrical, optical, and magnetic properties of materials including semiconductors, metals, organics, and insulators. We will show how devices are built to take advantage of these properties. This is illustrated with a wide range of devices, placing a strong emphasis on new and emerging technologies.

Part 1 - 3.15.1x: Electronic Materials and Devices
Part 3 - 3.15.3x: Magnetic Materials and Devices

Organic electronic devices are quickly making their way into the commercial world, with innovative thin mobile devices, high-resolution displays, and photovoltaic cells. The future holds even greater potential for this technology, with an entirely new generation of ultralow-cost, lightweight and even flexible electronic devices, which will perform functions traditionally accomplished with much more expensive components based on conventional semiconductor materials, such as silicon.

Learn more about this highly promising technology, which is based on small molecules and polymers, and how these materials can be implemented successfully in established (e.g., organic light-emitting devices (OLEDs), organic photovoltaic (OPV) devices) and emerging (e.g., thermoelectric (TE) generators) organic electronic modules.

In this course you will gain the ability to tie molecular transport phenomena with macroscopic device response such that you will be well-prepared to analyze, troubleshoot, and design the next generation of organic electronic materials and devices.
 
This course has short lectures with quizzes, homework, and exams.

This course is the latest nanoHUB-U project in a series offered is jointly funded by Purdue University and the NSF with the goal of transcending disciplines though short courses accessible to students in any branch of science or engineering. 

Learn about a new generation of solar cells, organic solar cells, that promise an answer to the energy demands of the future.

We live on the surface of a dynamic and yet paradoxically stable planet that experiences a remarkable range of energetic phenomena, from waves and currents in the ocean to wind and thunderstorms in the atmosphere. This course traces how the remarkable concept called energy is the natural way of describing, understanding and unifying these diverse phenomena. The course traces the cascade of energy from sunlight to its final destination in a thermal form, considering differential surface heating, the role of convection and buoyancy and the formation of the Earth’s circulation system, and the links to the ocean circulation system. We consider the curvature and rotation of the Earth as key constraints on a system driven by sunlight and energy transformations.

Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.

How much time will the course take?

Obviously the answer will depend on your background and motivation to master the course material. Each week will consist of 5 or 6 segments that will each take 5 to 10 minutes to watch or listen to once. There will be some exploratory questions for each lesson and a confirmation quiz for each week. There will be one exploratory activity for each week. The average commitment will be 2-3 hours per week with perhaps 20 hours required for the whole course.

What background does the course assume?

We’ll ask you to pull out a calculator from time to time (but not all the time!) simply as this will help you really master the key ideas. The key thing is to have a curiosity and interest in what makes our planet tick!

What kind of learning activities will the course involve?

The activities are designed to use basic household objects, and our own senses, to engage with observations of the world, and to think about what these mean and lead to. We’ll get you to sense how cold or warm different objects get when left in the sun, and to observe how energy explains things we see and hear.

What difference will the course make to my life?

The course has the conviction that it is hard to care for or value things that we don’t appreciate or have never considered. Although harsh in certain places and times, the Earth’s surface is remarkably habitable. Many forms of life can make their way in many kinds of terrain and climate. What produces these conditions? How are they maintained? We will seek to answer those questions in rudimentary form at least.

What conversations will the course help to perform?

Courses often imagine a context in which the course material is discussed, and this one is no different. It imagines a setting with family or friends where you might have just learned of a news event involving a storm like a hurricane or thunderstorm, or where a community might have experienced a flood or a drought, or merely unusual weather. You might have heard of El Nino or climate change in the news. This course will give you a background to better engage in a conversation about these great matters, and offer a better sense of the complexity, challenge and wonder connected to living on the surface of such an energetic planet.

Louv1.2x and its predecessor Louv1.1x together give an introduction to all major programming concepts, techniques, and paradigms in a unified framework. We cover the three main programming paradigms: functional, object-oriented, and declarative dataflow.

The two courses are targeted toward people with a basic knowledge of programming. It will be most useful to beginning programming students, but the unconventional approach should be insightful even to seasoned professionals.

Louv1.1x (Fundamentals) covers functional programming, its techniques and its data structures. You’ll use simple formal semantics for all concepts, and see those concepts illustrated with practical code that runs on the accompanying open-source platform, the Mozart Programming System.

Louv1.2x (Abstraction and Concurrency) covers data abstraction, state, and concurrency. You’ll learn the four ways to do data abstraction and discuss the trade-offs between objects and abstract data types. You’ll be exposed to deterministic dataflow, the most useful paradigm for concurrent programming, and learn how it avoids race conditions.

To learn more about the practical organization of the two courses, watch the introductory video. 

Louv1.1x and Louv1.2x together give an introduction to all major programming concepts, techniques, and paradigms in a unified framework. We cover the three main programming paradigms: functional, object-oriented, and declarative dataflow.

The two courses are targeted toward people with a basic knowledge of programming. It will be most useful to beginning programming students, but the unconventional approach should be insightful even to seasoned professionals.

Louv1.1x covers fundamental concepts. You’ll learn functional programming, its techniques and its data structures. You’ll use simple formal semantics for all concepts, and see those concepts illustrated with practical code that runs on the accompanying open-source platform, the Mozart Programming System.

Louv1.2x covers data abstraction, state, and concurrency. You’ll learn the four ways to do data abstraction and discuss the trade-offs between objects and abstract data types. You’ll be exposed to deterministic dataflow, the most useful paradigm for concurrent programming, and learn how it avoids race conditions.

To learn more about the practical organization of the two courses, watch the introductory video.