The course is designed to provide a practical - hands on - introduction to electronics with a focus on measurement and signals. The prerequisites are courses in differential equations, as well as electricity and magnetism. No prior experience with electronics is necessary. The course will integrate demonstrations and laboratory examples with lectures on the foundations. Throughout the course we will use modern "virtual instruments" as test-beds for understanding electronics. The aim of the course is to provide students with the practical knowledge necessary to work in a modern science or engineering setting.

Traditionally, progress in electronics has been driven by miniaturization. But as electronic devices approach the molecular scale, classical models for device behavior must be abandoned. To prepare for the next generation of electronic devices, this class teaches the theory of current, voltage and resistance from atoms up. To describe electrons at the nanoscale, we will begin with an introduction to the principles of quantum mechanics, including quantization, the wave-particle duality, wavefunctions and Schrödinger's equation. Then we will consider the electronic properties of molecules, carbon nanotubes and crystals, including energy band formation and the origin of metals, insulators and semiconductors. Electron conduction will be taught beginning with ballistic transport and concluding with a derivation of Ohm's law. We will then compare ballistic to bulk MOSFETs. The class will conclude with a discussion of possible fundamental limits to computation.

This set of 10 lectures (about 11+ hours in duration) was excerpted from a three-day course developed at MIT Lincoln Laboratory to provide an understanding of radar systems concepts and technologies to military officers and DoD civilians involved in radar systems development, acquisition, and related fields. That three-day program consists of a mixture of lectures, demonstrations, laboratory sessions, and tours.
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This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software. Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.

This class assesses current and potential future energy systems, covering resources, extraction, conversion, and end-use technologies, with emphasis on meeting regional and global energy needs in the 21st century in a sustainable manner. Instructors and guest lecturers will examine various renewable and conventional energy production technologies, energy end-use practices and alternatives, and consumption practices in different countries. Students will learn a quantitative framework to aid in evaluation and analysis of energy technology system proposals in the context of engineering, political, social, economic, and environmental goals. Students taking the graduate version, Sustainable Energy, complete additional assignments.

6.101 is an introductory experimental laboratory that explores the design, construction, and debugging of analog electronic circuits. Lectures and six laboratory projects investigate the performance characteristics of diodes, transistors, JFETs, and op-amps, including the construction of a small audio amplifier and preamplifier. Seven weeks are devoted to the design and implementation, and written and oral presentation of a project in an environment similar to that of engineering design teams in industry. The course provides opportunity to simulate real-world problems and solutions that involve trade offs and the use of engineering judgment. Engineers from local analog engineering companies come to campus to help students with their design projects.

6.111 consists of lectures and labs on digital logic, flipflops, PALs, counters, timing, synchronization, finite-state machines, and microprogrammed systems. Students are expected to design and implement a final project of their choice: games, music, digital filters, graphics, etc. The course requires extensive use of VHDL for describing and implementing digital logic designs. 6.111 is worth 12 Engineering Design Points.

6.111 is reputed to be one of the most demanding classes at MIT, exhausting many students' time and creativity. The course covers digital design topics such as digital logic, sequential building blocks, finite-state machines, FPGAs, timing and synchronization. The semester begins with lectures and problem sets, to introduce fundamental topics before students embark on lab assignments and ultimately, a digital design project. The students design and implement a final digital project of their choice, in areas such as games, music, digital filters, wireless communications, video, and graphics. The course relies on extensive use of Verilog® for describing and implementing digital logic designs on state-of-the-art FPGA.

This course introduces students to the fundamental concepts of physical computing systems through hands-on, real-life applications. Physical computing forms the basis of smart devices, wearables like smart watches, e-textiles / fashion, IoT (Internet of Things) devices, and hardware start-up

This course teaches students to design electronic devices that interact with the physical world by building circuits and developing software algorithms that run on a microcontroller. These devices will also be connected to the internet so they can send sensor data to dashboards and be remotely operated from a computer or mobile device.

This course is designed specifically for university undergraduate students from all majors. It presumes no in-depth knowledge of physics or math nor prior experience with electronics. The only expected prerequisite knowledge is introductory experience with procedural programming (i.e. variables, functions, loops).

This is the companion laboratory manual to the OER text Semiconductor Devices: Theory and Application. Coverage begins at basic semiconductor devices (signal diodes, LEDs, Zeners, etc.) and proceeds through bipolar and field effect devices. Applications include rectifiers, clippers, clampers, AC to DC power supplies, small and large signal class A amplifiers, followers, class B amplifiers, ohmic region FET applications, etc.
Mirror site: http://www.dissidents.com/resources/LaboratoryManualForSemiconductorDevices.pdf

This resource consists of 8 lecture PPTs, for the Course _Mechatronics. It covers, Sensors, PLC I/O modules, Hydraulic & Pneumatic systems, Maintenance of the System, Safety & Hazards.

LEGO® robotics uses LEGO®s as a fun tool to explore robotics, mechanical systems, electronics, and programming. This seminar is primarily a lab experience which provides students with resources to design, build, and program functional robots constructed from LEGO®s and a few other parts such as motors and sensors.

Dit vak gaat over het berekenen van spanningen, stromen en vermogens in elektrische circuits met bronnen, weerstanden, spoelen en condensatoren. In het eerste deel worden de componenten geïntroduceerd en de basisberekeningsmethoden aangeleerd. In het tweede deel worden de technieken uit het eerste deel toegepast op tweede-orde circuits, circuits met sinusvormige spanningen en stromen, magnetisch gekoppelde circuits en vermogenscircuits. Verder is er veel aandacht voor filters, frequentieresponsies, tweepoorten en de Laplace transformatie

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.

Mada Assistive Technology Portal is the first digital platform specialized in assistive technology in Arabic. The portal provides a wide range of information, resources and assistive technology services to enable and support the independence of persons with disabilities through accessible information and communication technology ICT.

Fabrication laboratories (FabLabs) are utilized to materialize concepts. They can improve cognitive and creative abilities when used in a design-learning situation. Numerous studies have attempted to comprehend the relationship between makerspaces and creativity in a variety of disciplines, with the capacity to generate innovative consequences in makerspaces dependent on creativity. However, a comprehensive study that provides a holistic perspective on the contributions of labs as inclusive places that stimulate creativity for people with disabilities is absent. In order to address this study gap, the paper that follows provides an overview of FabLabs, makerspaces, and creativity and introduce the first of its kind MadaFabLab, as the first inclusive fablab in the world designed and tailored for innovators with disabilities “MadaFabLab”. The studies revealed that fablabs contribute to the development of creative person, product, physical, and social surroundings, as well as creative process. In addition, the MadaFabLab, a novel inclusive idea, fosters problem-solving, collaborative, and communication skills, and offers appealing locations and tools for the development of creative solutions to real-world challenges and needs identified by people with disabilities. We identified and analyzed five important themes pertaining to technical skills, technological and environmental factors, STEM learning, and skill development, and focused on their significance for fostering creativity in an inclusive FabLab.

Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.

These exercises target student misconceptions about how to properly measure voltage and current in simple DC circuits by letting them investigate different meter arrangements without fear of damaging equipment. These activities also are designed to lead to other investigations about simple DC circuits.

System design is the central topic of this course. We move beyond the methods developed in circuit design (although we shall have interest in those) and consider situations in which the functional behavior of a system is the first object under consideration.

This course introduces the theory and technology of micro/nano fabrication. Lectures and laboratory sessions focus on basic processing techniques such as diffusion, oxidation, photolithography, chemical vapor deposition, and more. Through team lab assignments, students are expected to gain an understanding of these processing techniques, and how they are applied in concert to device fabrication. Students enrolled in this course have a unique opportunity to fashion and test micro/nano-devices, using modern techniques and technology.