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Self Learning Material

Common Soldering Mistakes | Soldering

I have here two different pieces of copper that are from a standard [inaudible 00:09] power supply. One common soldering job might be to put a connector on something like this.   This piece of wire has been stripped and sitting out in the air for a long time and I wanted you to see how it looks when compared with something that’s just recently stripped. And holding them side by side, you can see that the one in my right hand is much, much cleaner and shinier. It has a pinkish appearance of nice, clean copper whereas, the one…

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SMD resistor code calculator

Link:   This simple calculator will help you determine the value of any SMD resistor. To get started, input the 3 or 4 digit code and hit the “Calculate” button or Enter. Note: The program was tested rigorously, but it still may have a few bugs. So, when in doubt (and when it’s possible) don’t hesitate to use a multimeter to double-check the critical components. See also the color code calculator on this page for MELF and standard through-hole resistors.   How to calculate the value of an SMD resistor Most chip resistors are marked with a 3-digit or…

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Four-digit SMD resistor examples

The following tables list all commonly used four-digit SMD resistors from 0.1 ohm to 9.76Mohms (E24 and E96 series).   Table 1: 4-digit SMD resistors (E24 series) Code Value Code Value Code Value Code Value 0R10 0.1Ω 1R00 1Ω 10R0 10Ω 1000 100Ω 0R11 0.11Ω 1R10 1.1Ω 11R0 11Ω 1100 110Ω 0R12 0.12Ω 1R20 1.2Ω 12R0 12Ω 1200 120Ω 0R13 0.13Ω 1R30 1.3Ω 13R0 13Ω 1300 130Ω 0R15 0.15Ω 1R50 1.5Ω 15R0 15Ω 1500 150Ω 0R16 0.16Ω 1R60 1.6Ω 16R0 16Ω 1600 160Ω 0R18 0.18Ω 1R80 1.8Ω 18R0 18Ω 1800 180Ω 0R20 0.2Ω 2R00 2Ω 20R0 20Ω 2000 200Ω 0R22…

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Lecture Series on Mechanical Engineering

One of the six founding courses of study at MIT, Mechanical Engineering embodies the motto “mens et manus” — mind and hand. Disciplinary depth and breadth, together with hands-on discovery and physical realization, characterize our nationally and internationally recognized leadership in research, education, and innovation. MIT mechanical engineers have always stood at the forefront in tackling the engineering challenges of the day: inventing new technologies, spawning new fields of study, and educating generations of leaders in industry, government, and academia.   Research and Innovation Today, mechanical engineering is one of the broadest and most versatile of the engineering professions. This…

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Lecture Series on Mathematics

An undergraduate degree in mathematics provides an excellent basis for graduate work in mathematics or computer science, or for employment in such mathematics-related fields as systems analysis, operations research, or actuarial science.   Because the career objectives of undergraduate mathematics majors are so diverse, each undergraduate’s program is individually arranged through collaboration between the student and his or her faculty advisor. In general, students are encouraged to explore the various branches of mathematics, both pure and applied.   Undergraduates seriously interested in mathematics are encouraged to elect an upper-level mathematics seminar. This is normally done during the junior year or…

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Lecture Series on Engineering Innovation and Design

Course Description Learn to produce great designs, be a more effective engineer, and communicate with high emotional and intellectual impact. This project based course gives students the ability to understand, contextualize, and analyze engineering designs and systems. By learning and applying design thinking, students will more effectively solve problems in any domain. Lectures focus on teaching a tested, iterative design process as well as techniques to sharpen creative analysis. Guest lectures from all disciplines illustrate different approaches to design thinking. This course develops students’ skills to conceive, organize, lead, implement, and evaluate successful projects in any engineering discipline. Additionally, students…

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Lecture Series on Artificial Intelligence

Course Description This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.   Course Features Video lectures Subtitles/transcript Assignments (no solutions) Exams (no solutions) Recitation videos Instructor insights This Course at MIT

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Lecture Series on Introduction to Robotics

Course Description The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. The course is presented in a standard format of lectures, readings and problem sets. There will be an in-class midterm and final examination. These examinations will be open book. Lectures will be based mainly, but not exclusively, on material in the Lecture Notes book. Lectures will follow roughly the same sequence as the material presented in…

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Lecture Series on Underactuated Robotics

Course Description Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines.   This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control,…

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