This course will introduce the major types of ceramics and their applications. We will learn about the different methods used for glass strengthening; the factors that determine a ceramic’s crystal structure; the key characteristics of composite materials; and the different structures of fiber-reinforced composite materials. We will discuss reasons for creating various types of composites.

Joining this course presents opportunity to learn about energy harvesting that refers to a technology that converts the energy discarded in our daily lives into useful electrical energy that we can use. As we all know, most of low-power electronics, such as remote sensors, are driven by batteries. However, even when it comes to long-lasting batteries, they face an issue that is a regular replacement. It can turn out to be costly as there are hundreds of sensors in remote locations. Whereas, energy harvesting technologies supply unlimited operating life of low-power equipment and even remove the need to replace batteries where it is costly, unfeasible, or unsafe. The whole sessions cover the concept of energy harvesting technologies, which has gained popularity over the last few years, and thus will be beneficial for those who seeks for understanding principles and their applications.

OpenCL™ is a standard for writing parallel programs for heterogeneous systems, much like the NVidia* CUDA* programming language. In the FPGA environment, OpenCL constructs are synthesized into custom logic. An overview of the OpenCL standards will be discussed. You will learn about the platform, execution, memory, and programming models that define the OpenCL specification. Syntax of the OpenCL language will be discussed, and you will see examples of OpenCL usage. The similarities and differences between OpenCL and CUDA will be highlighted throughout. The advantages of using the Intel® FPGA OpenCL solution will be presented.*OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission of Khronos*Other names and brands may be claimed as the property of others

This is course 4 of this specialization (although it can be taken out of order) and focuses on applying experience and knowledge gained in the first three courses to build physical electronics hardware. Specifically, this course focuses on four areas: circuit simulation, schematic entry, PCB layout, and 3D CAD modeling. There are many excellent commercial applications available in these areas, however to give everyone access we'll be using all free and open-source software. By the end of this course you should feel comfortable using free and open-source software to design your own printed circuit board and any bracketry or case to hold it, customized for your application. Module 1 covers circuit simulation using several open-source projects and simulation methods for simulating transient response of circuits as well as frequency-domain response of filters. Additionally, we'll use open-source filter synthesis tools to help you quickly design and simulation filters. Module 2 is all about creating professional looking electrical schematics. This is both an art and a skill and we'll cover the technical elements of using schematic entry software as well as broad concepts that are portable to any commercial application. Module 3 takes our schematic and turns it into a physical PCB design. Understanding this process of how the schematic and the PCB layout work together is critical. We'll be demonstrating this with open-source software, but again, the concepts apply to any commercial software you may have access to. Module 4 demonstrates the powerful idea of co-designing your electrical and mechanical systems together. We'll create a 3D model of our electrical PCB and bring it into 3D CAD software to design mechanical parts around it. Tying together these two applications opens another dimension in customizing your projects.

This course explores the impact of different forces on the construction of bug buildings. It provides an overall understanding of how buildings respond to different forces that impact their designs. The first module introduces you to the concept of the overall response of structures. The second module explores different types of loads and their impact on the design of large structures. It also gives a detailed explanation of how buildings fall due to earthquakes. In addition, the module offers an explanation on the impact of mass and stiffness on building response. The third module explores how to build a cardboard chair. You'll also learn how to work with SketchUp Make.

Introduction to Advanced Vibrations starts with a review of single and double degree of freedom systems. After that, multiple degrees of freedom systems are introduced to explain the vibrations of string and beam. These vibration systems provide to apply or use them into practical problems

In this course, you will build on the skills learned in Introduction to Image Processing to work through common complications such as noise. You’ll use spatial filters to deal with different types of artifacts. You’ll learn new approaches to segmentation such as edge detection and clustering. You’ll also analyze regions of interest and calculate properties such as size, orientation, and location. By the end of this course, you’ll be able to separate and analyze regions in your own images. You’ll apply your skills to segment an MRI image of a brain to separate different tissues. You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your image processing tasks. You will be provided with free access to MATLAB for the duration of the course to complete your work. To be successful in this course you should have a background in basic math and some exposure to MATLAB. If you want to familiarize yourself with MATLAB check out the free, two-hour MATLAB Onramp. Experience with image processing is not required.

This course is a continuation of Electrodynamics: An Introduction and Electrodynamics: Analysis of Electric Fields. Here, we will introduce magnetostatics and relate it to the material we learned previously. In addition, we will cover the basics of the electromotive force and how it can be used to build different devices. Learners will • Be able to use solutions from electric fields and relate them to other subjects (heat transfer, diffusion, membrane modeling) • Understand Maxwell's equations in the context of magnetostatics • Be introduced to energy and quantum mechanics relating to magnetic forces By relating the concepts in this lecture to other fields, such as heat/mass diffusion, and describing their potential applications, we hope to make this course applicable to our students careers. Because this course covers both basic concepts and device construction, we have designed it to be useful for researchers and industry professionals alike. The approach taken in this course complements traditional approaches, covering a fairly complete treatment of the physics of electricity and magnetism, and adds Feynman’s unique and vital approach to grasping a picture of the physical universe. Furthermore, this course uniquely provides the link between the knowledge of electrodynamics and its practical applications to research in materials science, information technology, electrical engineering, chemistry, chemical engineering, energy storage, energy harvesting, and other materials related fields.

Prove to potential employers that you’re up to the task by becoming an Autodesk Certified Professional. This online course from Autodesk prepares you by offering an overview of skills that match what is covered in the Autodesk Certified Professional: Civil 3D for Infrastructure Design exam. The video lessons are structured to match the exam’s objective domains and follow the typical workflow and features of the Autodesk® AutoCAD® Civil 3D® software, including sections on points, parcels, and surveying, surfaces and grading, alignments and profiles, corridors and sections, pipe networks, and plan production and data management. In the course, you'll review advanced infrastructure topics. You’ll work with points and point groups, parcels and parcel styles, and the surveying tools. You'll also gain an understanding of exam topics such as TIN surfaces and volume surfaces, profile views, and both pipe and pressure networks. Brush up on feature lines, sites and grading models, corridors, note label styles, data shortcuts, and much more. The provided Civil 3D dataset allows you to follow along with the lessons and try out methods and workflows. Practice exercises and challenge assignments help you practice and review the exam topics on your own. Finally, you can test your knowledge by taking one of the full practice exams that accompany the course. About the Autodesk Certified Professional: Civil 3D for Infrastructure Design exam: The Autodesk Certified Professional: Civil 3D for Infrastructure Design exam is the recognized standard for measuring your knowledge in Civil 3D. Certification at this level demonstrates a comprehensive skill set that provides an opportunity for individuals to stand out in a competitive professional environment. This type of experience typically comes from having worked with the software on a regular basis for at least 2 years, equivalent to approximately 400 hours (minimum) - 1200 hours (recommended), of real-world Autodesk software experience. Ready to take the exam? Schedule to take the exam online or find a testing center near you on pearsonvue.com/autodesk. Looking for more skill-building courses? Check out Autodesk’s additional learning resources to help with your learning journey: https://www.autodesk.com/learning

Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy. Regardless of whether you’re already a scientist, studying to become one, or just interested in how modern astronomy works ‘under the bonnet’, this course will help you explore astronomy: from planets, to pulsars to black holes. Course outline: Week 1: Thinking about data - Principles of computational thinking - Discovering pulsars in radio images Week 2: Big data makes things slow - How to work out the time complexity of algorithms - Exploring the black holes at the centres of massive galaxies Week 3: Querying data using SQL - How to use databases to analyse your data - Investigating exoplanets in other solar systems Week 4: Managing your data - How to set up databases to manage your data - Exploring the lifecycle of stars in our Galaxy Week 5: Learning from data: regression - Using machine learning tools to investigate your data - Calculating the redshifts of distant galaxies Week 6: Learning from data: classification - Using machine learning tools to classify your data - Investigating different types of galaxies Each week will also have an interview with a data-driven astronomy expert. Note that some knowledge of Python is assumed, including variables, control structures, data structures, functions, and working with files.