This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy is applied to channel capacity and to the second law of thermodynamics.

Textbook covering topics orienting undergraduate-level students to the major engineering disciplines (civil, computer and electronic, and mechanical) and professionalism within these disciplines.

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.
Online Publication

This work covers the fundamentals of AC power system engineering, including power calculations in single-phase and three-phase circuits, power transformers, power transmission and distribution line parameters and steady-state operation, and power flow analysis.

To better understand electricity, students investigate the properties of materials based on their ability to dispel static electricity. They complete a lab worksheet, collect experimental data, and draw conclusions based on their observations and understanding of electricity. The activity provides hands-on learning experience to safely explore the concept of static electricity, learning what static electricity is and which materials best hold static charge. Students learn to identify materials that hold static charge as insulators and materials that dispel charge as conductors. The class applies the results from their material tests to real-world engineering by identifying the best of the given materials for moving current in a solar panel.

In this activity, learners use a laser pointer and two small rotating mirrors to create a variety of fascinating patterns, which can be easily and dramatically projected on a wall or screen. In this version of the activity, learners use binder clips to build the base of the device. Educators can use a pre-assembled device for demonstration purposes or engage learners in the building process.

Learn how Sally Ride inspired engineer Shirley Kozler who now works for Wing.

Open Signals and Systems Laboratory Exercises is a collection of lab assignments that have been used in EE 224: Signals and Systems I in the Department of Electrical and Computer Engineering at Iowa State University. These lab exercises have been curated, edited, and presented in a consistent format to improve student learning.

This second edition provides a thorough coverage of the MATLAB concepts needed to complete each exercise, and incorporates hardware descriptions and explanations into the exercises that had integrated new lab equipment. A ZIP file containing additional materials is also available.

6.622 covers modeling, analysis, design, control, and application of circuits for energy conversion and control. As described by the Institute of Electrical and Electronics Engineers (IEEE), power electronics technology “encompasses the use of electronic components, the application of circuit theory and design techniques, and the development of analytical tools toward efficient electronic conversion, control, and conditioning of electric power.” Students taking this class will come away with an understanding of the fundamental principles of power electronics, and knowledge of how to both analyze and design power electronic components and systems.

Students imagine they are stranded on an island and must create the brightest light possible with the meager supplies they have on hand in order to gain the attention of a rescue airplane. In small groups, students create circuits using items in their "survival kits" to create maximum voltage, measured with a multimeter and two LED lights. To complete the activity, students act as engineers by using the given materials to create circuits that produces the highest voltage and light up the most LED lights. They apply their knowledge of how voltage differs in a series circuit and a parallel circuit to design their solutions.

Students groups act as NASA/GM engineers challenged to design, build and test robotic hands, which are tactile feedback systems made from cloth gloves and force sensor circuits. Student groups construct force sensor circuits using electric components and FlexiForce sensors to which resistance changes based on the applied force. They conduct experiments to find the mathematical relationship between the force applied to the sensor and the output voltages of the circuit. They take several measurements force vs. resistance, force vs. voltage and use the data to find the best fit curve models for the sensor. Different weights applied to the sensor are used as a scalable force. Students use traditional methods and current technology (calculators) to plot the collected data and define the curve equations. Students test their gloves and use a line of best fit to determine the minimum force required to crack an egg held between the index finger and thumb. A PowerPoint(TM) file and many student handouts are included.

Introduces the fundamental algorithmic approaches for creating robot systems that can autonomously manipulate physical objects in unstructured environments such as homes and restaurants. Topics include perception (including approaches based on deep learning and approaches based on 3D geometry), planning (robot kinematics and trajectory generation, collision-free motion planning, task-and-motion planning, and planning under uncertainty), as well as dynamics and control (both model-based and learning-based).
Homework assignments will guide students through building a software stack that will enable a robotic arm to autonomously manipulation objects in cluttered scenes (like a kitchen). A final project will allow students to dig deeper into a specific aspect of their choosing. The class has hardware available for ambitious final projects, but will also make heavy use of simulation using cloud resources.

NSCC Edition

Short Description:
The NSCC edition of Semiconductor Devices: Theory and Application is a condensed version customized for NSCC. The open textbook covers the features and applications of the fundamental semiconductor devices such as diodes, bipolar junction transistors, junction field effect transistors, metal oxide semiconductor field effect transistors, and insulated gate bipolar transistors. There is a Companion Lab Manual for this book.

Word Count: 59110

ISBN: 978-1-990641-36-7

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

At the University of St. Thomas in Minnesota, this engineering professor and her team demonstrate that science or engineering lessons can be found in almost anything -- and a sense of play can make those lessons accessible and incite young minds.

6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing.

This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace.
Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products.
The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filtering and filter design, modulation, and sampling for both analog and digital systems, as well as exposition and demonstration of the basic concepts of feedback systems for both analog and digital systems, are discussed and illustrated.

Short Description:
A smart grid is a range of technologies that allow for more complex interactions between the utility and consumer.

Long Description:
A smart grid is a range of technologies that allow for more complex interactions between the utility and consumer. Some of these interactions include better monitoring of energy generation, transmission, and usage so that a utility can better predict demand, pin point outages, and serve its customers. A smart grid allows for better integration of consumer generated power such as solar panels or turbines. In addition, a smart grid could result in lower utlity rates for customers through automating electical demand such as controlling charging car batteris when utility usage is low.

Word Count: 3483

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

The smart grid of the future is a complex electrical power system. Its study, design, and management requires the integration of knowledge from various disciplines including sustainability, technology and mathematics.

Smart grids show a level of complexity and heterogeneity that often cannot be covered by analytical methods. Therefore, modeling and simulation are of great importance.

In this course, you will apply modeling tools to study and analyze the performance of your self-designed intelligent electrical power grid. By modeling smart grids, you will explore the integration of renewable energy sources into a grid, its dynamics, control and cyber security.

The smart grid of the future is a complex electrical power system. Its study, design, and management requires the integration of knowledge from various disciplines including sustainability, technology and mathematics.

In this course, you will be introduced to the definition of a smart grid, its heterogeneity, dynamics, control, security and assessment strategies. The challenge of modeling such a system is also discussed. A group of researchers will offer their expertise on these topics and will introduce the modeling method which will be used in the second course of this program.

In this course participants will learn how to turn solar cells into full modules; and how to apply full modules to full photovoltaic systems.

The course will widely cover the design of photovoltaic systems, such as utility scale solar farms or residential scale systems (both on and off the grid). You will learn about the function and operation of various components including inverters, batteries, DC-DC converters and their interaction with both the modules and the grid.

After learning about the components, learners will be able to correctly apply them during main design steps taken when planning a real PV installation with excellent performance and reliability.

Through modelling, you will gain a deeper understanding of PV systems performance for different solar energy applications, and proficiency in estimating the energy yield of a client’s potential system.

This course is part of the Solar Energy Engineering MicroMasters Program designed to cover all physics and engineering aspects of photovoltaics: photovoltaic energy conversion, technologies and systems.