Introduction to Power Electronics
About the Course
The course is an introduction to switched-mode power converters. It provides a basic knowledge of circuitry for the control and conversion of electrical power with high efficiency. These converters can change and regulate the voltage, current, or power; dc-dc converters, ac-dc rectifiers, dc-ac inverters, and ac-ac cycloconverters are in common use. Applications include electronic power supplies, aerospace and vehicular power systems, and renewable energy systems.
Recommended Background
Knowledge of circuits and electronics at the level of an undergraduate major in electrical engineering is assumed.
Review-The course has not been started yet but from F.A.Q , it seems to have a potential thereby making it to top of list.
ABOUT THIS COURSE
The course introduces engineering in the context of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- and second-order networks; design in the time and frequency domains; and analog and digital circuits and applications. Design and lab exercises are also significant components of the course.
The course is organized by weeks. To keep pace with the class, you are expected to complete all the work by the due dates indicated. Homeworks and labs must be completed by the Sunday of the week following the one in which they are posted. Weekly coursework includes interactive video sequences, readings from the textbook, homework, online laboratories, and optional tutorials. The course will also have a midterm exam and a final exam. Those who successfully earn enough points will receive an honor code certificate from MITx.
PREREQUISITES
In order to succeed in this course, you must have taken an AP level physics course in electricity and magnetism. You must know basic calculus and linear algebra and have some background in differential equations. Since more advanced mathematics will not show up until the second half of the course, the first half of the course will include an optional differential equations component for those who need it.
- Computer Architecture By Princeton University
About the Course
This course forms a strong foundation in the understanding and design of modern computing systems. Building on a computer organization base, this course explores techniques that go into designing a modern microprocessor. Fundamental understanding of computer architecture is key not only for students interested in hardware and processor design, but is a foundation for students interested in compilers, operating systems, and high performance programming. This course will explore how the computer architect can utilize the increasing number of transistors available to improve the performance of a processor. Focus will be given to architectures that can exploit different forms of parallelism, whether they be implicit or explicit. This course covers architectural techniques such as multi-issue superscalar processors, out-of-order processors, Very Long Instruction Word (VLIW) processors, advanced caching, and multiprocessor systems.
Recommended Background
This course is targeted at senior-level undergraduates and first-year graduate students. Students should have a good working understanding of digital logic, basic processor design and organization, pipelining, and simple cache design.
Review Of Course-Definitely the course is worth doing but it does not provide any certificate of accomplishments, Princeton University is one of most active University on Coursera providing the best user experience at no cost!
Don't judge the course by it's name, one is most likely to visualize circuits, resistors, thevnin, norton etc. Although it has these things in it but the best part of course is DIGITAL SIGNAL PROCESSING and INTRODUCTION TO MATLAB and OCTAVE.
About the Course
The course focuses on the creation, manipulation, transmission, and reception of information by electronic means. The topics covered include elementary signal theory; time- and frequency-domain analysis of signals; conversion of analog signals to a digital form; and how information can be represented with signals. Signal processing, both analog and digital, allow information to be extracted and manipulated. The course then turns to information theory, which demonstrates the technological advantages of digital transmission.
Recommended Background
Knowledge of Calculus
Review Of Course- Rice University may be not known to many, but the course has recorded a large number of enrolments, practical application techniques like MATLAB, OCTAVE and Digital Signal Processing is a charm of course. It is also a signature track course thereby providing a means of proof for course completion, adding up to your resume
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About the Course
This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams of) wheeled ground robots avoid collisions while reaching target locations, (2) how to make aerial, quadrotor robots follow paths in the presence of severe disturbances, and (3) how to locomotive bipedal, humanoid robots.
Recommended Background
Familiarity with basic calculus and linear algebra is required. Some exposure to differential equations is recommended.
About the Course
The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability.
In the class, starting from the basic definitions of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.
Recommended Background
Fundamentals of linear algebra and calculus are a must. Familiarity with probability theory and system theory are highly recommended. Familiarity with Matlab (or equivalent) and/or scientific programming are a plus.
Review-Essentially for people doing their majors/minors in electrical, electronics or control engineering.Starting from Scratch, course involves a lot of mental and analytical challenges.
About the Course
A modern VLSI chip is a remarkably complex beast: billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks). How do people manage to design these complicated chips? Answer: a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design. This class focuses on the major design tools used in the creation of an Application Specific Integrated Circuit (ASIC) or System on Chip (SoC) design. Our focus is on the key representations that make it possible to synthesize, and to verify, these designs, as they move from logic to layout.
Our goal is for students to understand how the tools themselves work, at the level of their fundamental algorithms and data structures. You should be taking this course if (1) you are interested in building VLSI design tools; (2) you are interested in designing VLSI chips, and you want to know why the tools do what they do; (3) you just like cool algorithms, that work on big cool problems that involve bits, and gates, and geometry, and graphs, and matrices, and time.
Our goal is for students to understand how the tools themselves work, at the level of their fundamental algorithms and data structures. You should be taking this course if (1) you are interested in building VLSI design tools; (2) you are interested in designing VLSI chips, and you want to know why the tools do what they do; (3) you just like cool algorithms, that work on big cool problems that involve bits, and gates, and geometry, and graphs, and matrices, and time.
Recommended Background
Programming experience (C++, Java) and basic knowledge of data structures and algorithms. An understanding of basic digital design: Boolean algebra, Kmaps, gates and flip flops, finite state machine design. Linear algebra and calculus at the level of a junior or senior in engineering. Exposure to basic VLSI at an undergraduate level is nice -- but it’s not necessary. We will keep the course self-contained, but students with some VLSI will be able to skip some background material.
Review:The course gives a momentum for all those thinking to go for Embedded/VLSI/Communication profile or for those people thinking to have research in Electrical Engineering And Computer Science
About the Course
The MOS transistor (MOSFET) is the workhorse of the microelectronic revolution. It is estimated that there are currently over 1 billion transistors per human being in the world. Part of the MOS transistor's success lies in its very small size (you can fit 1,000 of them within the width of a human hair!), part lies on some amazing things this device can do. However, the descriptions of MOS transistors in basic electronics courses cannot begin to do justice to this device. If you want to really know how the MOSFET operates, and how to model it, you need to study it carefully and systematically. This course will help you do just that.
The course starts with a review of basic physical principles, and expands into a detailed treatment of MOS transistor phenomena, in a logical and systematic fashion, enhanced by intuitive discussions. We discuss a hierarchy of models - from the simple to the sophisticated - clearly identifying the connections between them, and encompassing many aspects of modeling, including dc, large-signal transient operation, quasi-static operation, non-quasi-static operation, small-signal operation, noise, and structural effects. We discuss the concepts on which the most popular CAD (computer-aided design) MOS transistor models are based.
The course starts with a review of basic physical principles, and expands into a detailed treatment of MOS transistor phenomena, in a logical and systematic fashion, enhanced by intuitive discussions. We discuss a hierarchy of models - from the simple to the sophisticated - clearly identifying the connections between them, and encompassing many aspects of modeling, including dc, large-signal transient operation, quasi-static operation, non-quasi-static operation, small-signal operation, noise, and structural effects. We discuss the concepts on which the most popular CAD (computer-aided design) MOS transistor models are based.
Recommended Background
This course assumes a background in basic calculus and in basic circuits and electronics. The course will include a quick refresher of basic semiconductor concepts (electrons and holes, intrinsic and extrinsic semiconductors, drift and diffusion, etc.).
Review-From Anything to Everything of MOS, course also has a handbook making the course more available offline too.
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