Master of Science in Electrical Engineering
Offered By: University of Colorado Boulder via Coursera
Course Description
Overview
The only top 5 ranked online electrical engineering graduate program with no application.
*Optimal’s Guide to Online School, 2020 Best Online Master's in Electrical Engineering Degrees in the U.S.
Start your education journey today by pursuing electrical engineering courses, a graduate certificate, or a master’s degree from the University of Colorado Boulder. With performance-based admission, there is no application process—simply prove you can do the work. You’ll also benefit from short stackable courses, and pay-as-you-go tuition.
Interested in earning a full master’s degree?Complete a series of for-credit courses in a “Pathway Specialization” maintaining a grade point average of 3.0 (B) or better to be admitted into the degree program. Combine the credits earned from the Pathway Specialization with additional for-credit courses totalling 30 credit hours. Upon completion of these credits with a cumulative grade point average of 3.0 or better, you will be awarded an official University of Colorado Boulder Master of Science in Electrical Engineering diploma. There will be no designations on the official transcript or diploma indicating that this is an online program.
Interested in earning a graduate certificate?Complete the designated for-credit course sequence with a cumulative grade point average of 3.0 or better. An official University of Colorado Boulder graduate certificate will be awarded upon successful completion. There will be no designations on the official transcript or certificate indicating that this is an online program.
Want to take individual courses to build your professional skills?Enroll in for-credit graduate-level courses to increase your knowledge and gain new electrical engineering skills. To get started, complete the enrollment form and pay the tuition. Enhance your resume with completed courses and apply what you’ve learned immediately.
What makes this program unique? Benefit from a flexible and rigorous graduate program.With performance-based admission, no application is required to get started. Once you start taking courses you can continue to build and stack credentials with pay-as-you-go tuition. Design your own course of study by taking short courses of 0.6 - 1.2 credits each to earn a certificate or completing your choice of 30-credit hours for the master’s degree.
Get started today with a customizable curriculum.You are in charge of your learning journey. Customize your learning experience based on your professional goals by choosing from a selection of over 30 courses. New offerings are regularly added to the program to keep up with the fast-paced engineering industry.
Grow your career by learning from world-class industry experts.Learn from world-class electrical engineering faculty including Dr. Robert Erickson, author of the leading textbook on power electronics. Gain foundational knowledge and applied skills as well as learn the latest technological developments in embedded systems, power electronics, photonics, and more. Connect with course facilitators in real-time through office hours.
Syllabus
The MS-EE program and curriculum is built for flexibility. Choose from over 30 four-to-six week elective courses grouped into six focus areas:
Power Electronics
Power electronics is a key enabling technology in essentially all electronic systems and is increasingly important in the grid interface of renewable energy sources and in efficient electrical loads. The necessity for power electronics technology in these rapidly expanding areas creates an increasing need for design engineers equipped with knowledge and skills to actively participate in multidisciplinary teams.
The MS-EE on Coursera's power curriculum addresses this demand for skilled power electronics design engineers, covering switching power supplies, DC-DC converters, inverters, power factor correction converters and LED lighting drivers. The power electronics curriculum emphasizes fundamentals and application in the power electronics field. This domain competency applies to end markets such as power management, portable power, computer systems, medical applications, spacecraft power systems, the automotive industry, renewable energy and the utilities.
Embedded Systems
Embedded system engineering is used in industries such as aerospace and defense, energy, industrial automation, health care, networking and communication, security, transportation and more. Embedded systems also drive the Internet of Things (IoT), enabling countless human-to-machine and machine-to-machine applications including home automation, security and more.
The MS-EE on Coursera's Embedded Systems Engineering curriculum covers essential embedded technologies, synthesizes foundational principles, and directly applies them to current tools and trends. It is structured to provide you with a broad, versatile and highly competitive skill set. We emphasize practical, project-based learning across hardware and embedded software design that addresses numerous end markets, as well as multiple semiconductor technologies including sensors, controllers, programmable devices, and development tools.
Photonics and Optics
LEDs will light households powered by photovoltaic panels and filled with displays and cameras communicating by optical fiber to distant owners wearing virtual reality glasses. Laser 3D printing will transform manufacturing. New microscopes and telescopes will peer into the depths of living cells and distant galaxies.
The MS-EE on Coursera's photonics curriculum provides a firm theoretical foundation on the generation, modulation, radiative or guided transmission, sensing, and detection of optical signals. It also covers optical telecommunications, medical instrumentation, photovoltaic power generation, information processing, optical instruments, and environmental sensing. While some of these industries are mature, photonics continues to grow into new industries such as LED lighting and on-chip silicon photonics for multi-core CPUs.
Controls and Communications (not live yet)
The MS-EE on Coursera curriculum in digital communications helps lay the foundation for this wireless world. These courses prepare you for a career in reliable and high-speed data communications and data learning. Control techniques are used whenever a quantity (like speed, temperature or force, for instance) must be made to behave in some desirable way over time. In the modern world, the rapid evolution of technological demands imposes extremely challenging and widely varying control problems—problems we want to help you prepare to solve. The MS-EE controls curriculum explores topics such as developing controllers for aircraft, spacecraft, information storage systems, human-machine interfaces, manufacturing processes and power systems.
Electromagnetics, RF, Microwaves, and Remote Sensing (not live yet)
The electromagnetics, RF, microwaves and remote sensing curriculum in the MS-EE on Coursera invites you to explore an exciting electrical engineering field that engages topics such as active circuits and antennas for communications and radar, theoretical and numerical techniques for analysis of high-frequency circuits and antennas, RF photonics, artificial electromagnetic materials, and electromagnetic remote sensing.
Computer Engineering (not live yet)
Computer engineering encompasses a wide range of topics surrounding this interaction between hardware and software. Computer engineers of the future will be versatile full-stack developers, comfortable with understanding the technical depths of software development while also possessing a wide knowledge of the underlying hardware implementations. The MS-EE on Coursera curriculum in computer engineering emphasizes computer-aided verification and synthesis.
Courses
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This course can also be taken for academic credit as ECEA 5700, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces the basic concepts of switched-mode converter circuits for controlling and converting electrical power with high efficiency. Principles of converter circuit analysis are introduced, and are developed for finding the steady state voltages, current, and efficiency of power converters. Assignments include simulation of a dc-dc converter, analysis of an inverting dc-dc converter, and modeling and efficiency analysis of an electric vehicle system and of a USB power regulator. After completing this course, you will: ● Understand what a switched-mode converter is and its basic operating principles ● Be able to solve for the steady-state voltages and currents of step-down, step-up, inverting, and other power converters ● Know how to derive an averaged equivalent circuit model and solve for the converter efficiency A basic understanding of electrical circuit analysis is an assumed prerequisite for this course.
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This course can also be taken for academic credit as ECEA 5701, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces more advanced concepts of switched-mode converter circuits. Realization of the power semiconductors in inverters or in converters having bidirectional power flow is explained. Power diodes, power MOSFETs, and IGBTs are explained, along with the origins of their switching times. Equivalent circuit models are refined to include the effects of switching loss. The discontinuous conduction mode is described and analyzed. A number of well-known converter circuit topologies are explored, including those with transformer isolation. The homework assignments include a boost converter and an H-bridge inverter used in a grid-interfaced solar inverter system, as well as transformer-isolated forward and flyback converters. After completing this course, you will: ● Understand how to implement the power semiconductor devices in a switching converter ● Understand the origins of the discontinuous conduction mode and be able to solve converters operating in DCM ● Understand the basic dc-dc converter and dc-ac inverter circuits ● Understand how to implement transformer isolation in a dc-dc converter, including the popular forward and flyback converter topologies Completion of the first course Introduction to Power Electronics is the assumed prerequisite for this course.
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This course can also be taken for academic credit as ECEA 5703, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course covers the analysis and design of magnetic components, including inductors and transformers, used in power electronic converters. The course starts with an introduction to physical principles behind inductors and transformers, including the concepts of inductance, core material saturation, airgap and energy storage in inductors, reluctance and magnetic circuit modeling, transformer equivalent circuits, magnetizing and leakage inductance. Multi-winding transformer models are also developed, including inductance matrix representation, for series and parallel structures. Modeling of losses in magnetic components covers core and winding losses, including skin and proximity effects. Finally, a complete procedure is developed for design optimization of inductors in switched-mode power converters. After completing this course, you will: - Understand the fundamentals of magnetic components, including inductors and transformers - Be able to analyze and model losses in magnetic components, and understand design trade-offs - Know how to design and optimize inductors and transformers for switched-mode power converters This course assumes prior completion of courses 1 and 2: Introduction to Power Electronics, and Converter Circuits.
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This course can also be taken for academic credit as ECEA 5702, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course teaches how to design a feedback system to control a switching converter. The equivalent circuit models derived in the previous courses are extended to model small-signal ac variations. These models are then solved, to find the important transfer functions of the converter and its regulator system. Finally, the feedback loop is modeled, analyzed, and designed to meet requirements such as output regulation, bandwidth and transient response, and rejection of disturbances. Upon completion of this course, you will be able to design and analyze the feedback systems of switching regulators. This course assumes prior completion of courses Introduction to Power Electronics and Converter Circuits.
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Learners will design a DC-DC converter that powers USB-C devices (20 V at 3 A) from a dc input voltage source such as a lithium-ion battery pack or a desktop computer power bus. Aspects of the project will include:
● Design of converter power stage and magnetics. Requires mastery of courses 1, 2, and 5.
● Simulation to verify correct steady-state operation. Requires mastery of courses 1, 2 and 4.
● Design of converter control system. Requires mastery of courses 3 and 4.
● Simulation to verify correct control system operation. Requires mastery of courses 3 and 4.
● Preparation of milestone reports documenting the design and its performance
The reports will be peer graded. -
This course can also be taken for academic credit as ECEA 5360, part of CU Boulder’s Master of Science in Electrical Engineering degree. Programmable Logic has become more and more common as a core technology used to build electronic systems. By integrating soft-core or hardcore processors, these devices have become complete systems on a chip, steadily displacing general purpose processors and ASICs. In particular, high performance systems are now almost always implemented with FPGAs. This course will give you the foundation for FPGA design in Embedded Systems along with practical design skills. You will learn what an FPGA is and how this technology was developed, how to select the best FPGA architecture for a given application, how to use state of the art software tools for FPGA development, and solve critical digital design problems using FPGAs. You use FPGA development tools to complete several example designs, including a custom processor. If you are thinking of a career in Electronics Design or an engineer looking at a career change, this is a great course to enhance your career opportunities. Hardware Requirements: You must have access to computer resources to run the development tools, a PC running either Windows 7, 8, or 10 or a recent Linux OS which must be RHEL 6.5 or CentOS Linux 6.5 or later. Either Linux OS could be run as a virtual machine under Windows 8 or 10. The tools do not run on Apple Mac computers. Whatever the OS, the computer must have at least 8 GB of RAM. Most new laptops will have this, or it may be possible to upgrade the memory.
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This course can also be taken for academic credit as ECEA 5600, part of CU Boulder’s Master of Science in Electrical Engineering degree. Optical instruments are how we see the world, from corrective eyewear to medical endoscopes to cell phone cameras to orbiting telescopes. When you finish this course, you will be able to design, to first order, such optical systems with simple mathematical and graphical techniques. This first order design will allow you to develop the foundation needed to begin all optical design as well as the intuition needed to quickly address the feasibility of complicated designs during brainstorming meetings. You will learn how to enter these designs into an industry-standard design tool, OpticStudio by Zemax, to analyze and improve performance with powerful automatic optimization methods.
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This course can also be taken for academic credit as ECEA 5601, part of CU Boulder’s Master of Science in Electrical Engineering degree. Optical instruments are how we see the world, from corrective eyewear to medical endoscopes to cell phone cameras to orbiting telescopes. This course will teach you how to design such optical systems with simple mathematical and graphical techniques. The first order optical system design covered in the previous course is useful for the initial design of an optical imaging system but does not predict the energy and resolution of the system. This course discusses the propagation of intensity for Gaussian beams and incoherent sources. It also introduces the mathematical background required to design an optical system with the required field of view and resolution. You will also learn how to analyze these characteristics of your optical system using an industry-standard design tool, OpticStudio by Zemax.
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This course can also be taken for academic credit as ECEA 5340, part of CU Boulder’s Master of Science in Electrical Engineering degree. After taking this course, you will be able to: ● Understand how to specify the proper thermal, flow, or rotary sensor for taking real-time process data. ● Implement thermal sensors into an embedded system in both hardware and software. ● Add the sensor and sensor interface into a microprocessor based development kit. ● Create hardware and firmware to process sensor signals and feed data to a microprocessor for further evaluation. ● Study sensor signal noise and apply proper hardware techniques to reduce it to acceptable levels. You will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. These parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. These are the part numbers typed out, so you can copy and paste them into the Digikey web site. You will need one of each part. 428-3390-ND NHD-0216BZ-RN-YBW-ND 570-1229-ND A105970CT-ND Additional equipment needed: • Wire - various gauges and lengths • Breadboard • Oscilloscope – suggested models are: o PICOSCOPE 2204A-D2 available on www.digikey.com or o Digilent 410-324 | OpenScope MZ available on www.newark.com Depending on your budget, you can also investigate these models: o Hantek HT6022BE20MHz - https://www.amazon.com/dp/B009H4AYII o SainSmart DSO212 - https://www.amazon.com/dp/B074QBQNB7 o PoScope Mega50 USB - https://www.robotshop.com/en/poscope-mega50-usb-mso-oscilloscope.html o ADALM2000 - https://www.digikey.com/en/products/detail/analog-devices-inc./ADALM2000/7019661
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This course can also be taken for academic credit as ECEA 5602, part of CU Boulder’s Master of Science in Electrical Engineering degree. Optical instruments are how we see the world, from corrective eyewear to medical endoscopes to cell phone cameras to orbiting telescopes. This course extends what you have learned about first-order, paraxial system design and optical resolution and efficiency with the introduction to real lenses and their imperfections. We begin with a description of how different wavelengths propagate through systems, then move on to aberrations that appear with high angle, non-paraxial systems and how to correct for those problems. The course wraps up with a discussion of optical components beyond lenses and an excellent example of a high-performance optical system – the human eye. The mathematical tools required for analysis of high-performance systems are complicated enough that this course will rely more heavily on OpticStudio by Zemax. This will allow students to analyze systems that are too complicated for the simple analysis thus far introduced in this set of courses.
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This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree. Developing tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth: The Industrial Internet of Things (IIoT), also known as Industry 4.0. Cisco’s CEO stated: “IoT overall is a $19 Trillion market. IIoT is a significant subset including digital oilfield, advanced manufacturing, power grid automation, and smart cities”. This is part 1 of the specialization. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space. The structure of the course is intentionally wide and shallow: We will cover many topics, but will not go extremely deep into any one topic area, thereby providing a broad overview of the immense landscape of IIoT. There is one exception: We will study security in some depth as this is the most important topic for all "Internet of Things" product development. In this course students will learn : * What Industry 4.0 is and what factors have enabled the IIoT * Key skills to develop to be employed in the IIoT space * What platforms are, and also market information on Software and Services * What the top application areas are (examples include manufacturing and oil & gas) * What the top operating systems are that are used in IIoT deployments * About networking and wireless communication protocols used in IIoT deployments * About computer security; encryption techniques and secure methods for insuring data integrity and authentication
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This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: - Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work - Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results - Compute confidence intervals on total-capacity estimates - Compute estimates of a cell’s equivalent-series resistance using lab-test data - Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors)
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This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. By the end of the course, you will be able to: - Evaluate different design choices for cell balancing and articulate their relative merits - Design component values for a simple passive balancing circuit - Use provided Octave/MATLAB simulation tools to evaluate how quickly a battery pack must be balanced - Compute remaining energy and available power using a simple cell model - Use provided Octave/MATLAB script to compute available power using a comprehensive equivalent-circuit cell model
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This course can also be taken for academic credit as ECEA 5732, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: - Implement simple voltage-based and current-based state-of-charge estimators and understand their limitations - Explain the purpose of each step in the sequential-probabilistic-inference solution - Execute provided Octave/MATLAB script for a linear Kalman filter and evaluate results - Execute provided Octave/MATLAB script for state-of-charge estimation using an extended Kalman filter on lab-test data and evaluate results - Execute provided Octave/MATLAB script for state-of-charge estimation using a sigma-point Kalman filter on lab-test data and evaluate results - Implement method to detect and discard faulty voltage-sensor measurements
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This course can also be taken for academic credit as ECEA 5730, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course will provide you with a firm foundation in lithium-ion cell terminology and function and in battery-management-system requirements as needed by the remainder of the specialization. After completing this course, you will be able to: - List the major functions provided by a battery-management system and state their purpose - Match battery terminology to a list of definitions - Identify the major components of a lithium-ion cell and their purpose - Understand how a battery-management system “measures” current, temperature, and isolation, and how it controls contactors - Identify electronic components that can provide protection and specify a minimum set of protections needed - Compute stored energy in a battery pack - List the manufacturing steps of different types of lithium-ion cells and possible failure modes
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This course can also be taken for academic credit as ECEA 5731, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn the purpose of each component in an equivalent-circuit model of a lithium-ion battery cell, how to determine their parameter values from lab-test data, and how to use them to simulate cell behaviors under different load profiles. By the end of the course, you will be able to: - State the purpose for each component in an equivalent-circuit model - Compute approximate parameter values for a circuit model using data from a simple lab test - Determine coulombic efficiency of a cell from lab-test data - Use provided Octave/MATLAB script to compute open-circuit-voltage relationship for a cell from lab-test data - Use provided Octave/MATLAB script to compute optimized values for dynamic parameters in model - Simulate an electric vehicle to yield estimates of range and to specify drivetrain components - Simulate battery packs to understand and predict behaviors when there is cell-to-cell variation in parameter values
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This course can also be taken for academic credit as ECEA 5341, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our second course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This second course assumes that you already know how to use the kit. After taking this course, you will be able to: ● Understand how to specify the proper AC or DC motor for a machine design. ● Integrate the motor to a machine, based on analysis of motor equations for voltage, current, torque and speed. ● Implement the motor and accompanying rotary sensor into a motor control circuit in both hardware and software. ● Add a motor and motor control circuit into a microprocessor based development kit. ● Create hardware and firmware to process motor feedback data to a microprocessor for further evaluation. You will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. These parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. These are the part numbers for the above table, the lab on Motor Voltage and Current Measurement. You can copy and paste them into the search engine on the Digikey web site. You need one of each except for the AA batteries (N107-ND), which you would need 3. 428-3390-ND P14355-ND FQU13N10LTU-ND N107-ND 1N5393-E3/54GICT-ND RNF14FTD1K00CT-ND P0.62W-1BK-ND Additional equipment needed: • Wire - various gauges and lengths • Breadboard • Oscilloscope – suggested models are: o PICOSCOPE 2204A-D2 available on www.digikey.com or o Digilent 410-324 | OpenScope MZ available on www.newark.com Depending on your budget, you can also investigate these models: o Hantek HT6022BE20MHz - https://www.amazon.com/dp/B009H4AYII o SainSmart DSO212 - https://www.amazon.com/dp/B074QBQNB7 o PoScope Mega50 USB - https://www.robotshop.com/en/poscope-mega50-usb-mso-oscilloscope.html o ADALM2000 - https://www.digikey.com/en/products/detail/analog-devices-inc./ADALM2000/7019661
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This course can also be taken for academic credit as ECEA 5630, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces basic concepts of quantum theory of solids and presents the theory describing the carrier behaviors in semiconductors. The course balances fundamental physics with application to semiconductors and other electronic devices. At the end of this course learners will be able to: 1. Understand the energy band structures and their significance in electric properties of solids 2. Analyze the carrier statistics in semiconductors 3. Analyze the carrier dynamics and the resulting conduction properties of semiconductors
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This course can also be taken for academic credit as ECEA 5631, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course presents in-depth discussion and analysis of pn junction and metal-semiconductor contacts including equilibrium behavior, current and capacitance responses under bias, breakdown, non-rectifying behavior, and surface effect. You'll work through sophisticated analysis and application to electronic devices. At the end of this course learners will be able to: 1. Analyze pn junction at equilibrium and under bias, capacitance and current characteristics, and breakdown behavior 2. Analyze metal-semiconductor contact at equilibrium and under bias, capacitance and current characteristics, non-rectifying contact and surface effects
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This course can also be taken for academic credit as ECEA 5632, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course presents in-depth discussion and analysis of metal-oxide-semiconductor field effect transistors (MOSFETs) and bipolar junction transistors (BJTs) including the equilibrium characteristics, modes of operation, switching and current amplifying behaviors. At the end of this course learners will be able to: 1. Understand and analyze metal-oxide-semiconductor (MOS) device 2. Understand and analyze MOS field effect transistor (MOSFET) 3. Understand and analyze bipolar junction transistor (BJT)
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This course can also be taken for academic credit as ECEA 5607, part of CU Boulder’s Master of Science in Electrical Engineering degree. Displays Course Introduction The course will dive deep into electronic display devices, including liquid crystals, electroluminescent, plasma, organic light emitting diodes, and electrowetting based displays. You'll learn about various design principles, affordances and liabilities, and also a variety of applications in the real world of professional optics. Course Learning Outcomes At the end of this course you will be able to… (1) Select a display technology for a given application (LIDAR, imaging, microscopy etc.) (2) Design a system around the limitations of a given display technology (ie. addressing) (3) Design a system that maximizes contract
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This course can also be taken for academic credit as ECEA 5605, part of CU Boulder’s Master of Science in Electrical Engineering degree. LEDs and Semiconductor Lasers Course Introduction You will learn about semiconductor light emitting diodes (LEDs) and lasers, and the important rules for their analysis, planning, design, and implementation. You will also apply your knowledge through challenging homework problem sets to cement your understanding of the material and prepare you to apply in your career. Course Learning Outcomes At the end of this course you will be able to… (1) Design a semiconductor light emitting diode and analyze efficiency (2) Design a semiconductor laser (3) Choose suitable semiconductor materials for light emitting devices
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This course can also be taken for academic credit as ECEA 5606, part of CU Boulder’s Master of Science in Electrical Engineering degree. Nanophotonics and Detectors Introduction This course dives into nanophotonic light emitting devices and optical detectors, including metal semiconductors, metal semiconductor insulators, and pn junctions. We will also cover photoconductors, avalanche photodiodes, and photomultiplier tubes. Weekly homework problem sets will challenge you to apply the principles of analysis and design we cover in preparation for real-world problems. Course Learning Outcomes At the end of this course you will be able to… (1) Use nanophotonic effects (low dimensional structures) to engineer lasers (2) Apply low dimensional structures to photonic device design (3) Select and design optical detector for given system and application
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This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization. In this course students will learn : * How to staff, plan and execute a project * How to build a bill of materials for a product * How to calibrate sensors and validate sensor measurements * How hard drives and solid state drives operate * How basic file systems operate, and types of file systems used to store big data * How machine learning algorithms work - a basic introduction * Why we want to study big data and how to prepare data for machine learning algorithms
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"Pressure, Force, Motion, and Humidity Sensors" can also be taken for academic credit as ECEA 5342, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our third course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This third course assumes that you already know how to use the kit. After taking this course, you will be able to: ● Understand how to specify the proper AC or DC motor for a machine design. ● Integrate the motor to a machine, based on analysis of motor equations for voltage, current, torque and speed. ● Implement the motor and accompanying rotary sensor into a motor control circuit in both hardware and software. ● Add a motor and motor control circuit into a microprocessor based development kit. ● Create hardware and firmware to process motor feedback data to a microprocessor for further evaluation. After taking this course, you will be able to: ● Understand how to specify the proper pressure, force, strain, position, motion, acceleration, occupancy, and humidity sensors for taking real-time process data. ● Implement these sensors into an embedded system in both hardware and software. ● Add the sensor and sensor interface into a microprocessor based development kit. ● Create hardware and firmware to process sensor signals and feed data to a microprocessor for further evaluation. In this course you will build the circuit from Video 7 (Lab Exercise on strain gauges), Module 2 (Force and Strain Sensors and Touch Screens), and use it to make screen shots of the timing of the switch. If you haven't already wired up the system and written all the software per the instructions of Video 7, please do so now. You will need to buy the following components to complete this assignment. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. These parts may be purchased off the Digikey web site, www. Digikey.com. One part needs to be purchased off the Sparkfun website www.sparkfun.com. Or, you may obtain the specs from the site, and purchase them elsewhere. Digikey Part numbers are typed out here: 428-3390-ND CF14JT22K0CT-ND CF14JT100KCT-ND Table shown here: Index Quantity Part Number Description 1 1 428-3390-ND PSOC 5LP PROTOTYPING KIT 2 2 CF14JT22K0CT-ND RES 22K OHM 1/4W 5% AXIAL 3 1 CF14JT100KCT-ND RES 100K OHM 1/4W 5% AXIAL Sparkfun part numbers are typed out here: TAL221 Table shown here: Index Quantity Part Number Description 1 1 TAL221 Mini-load cell - 100g, straight bar Additional equipment needed: • Wire - various gauges and lengths • Breadboard • Oscilloscope – suggested models are: o PICOSCOPE 2204A-D2 available on www.digikey.com or o Digilent 410-324 | OpenScope MZ available on www.newark.com Depending on your budget, you can also investigate these models: o Hantek HT6022BE20MHz - https://www.amazon.com/dp/B009H4AYII o SainSmart DSO212 - https://www.amazon.com/dp/B074QBQNB7 o PoScope Mega50 USB - https://www.robotshop.com/en/poscope-mega50-usb-mso-oscilloscope.html o ADALM2000 - https://www.digikey.com/en/products/detail/analog-devices-inc./ADALM2000/7019661
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This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 3 of the specialization. In this course students will learn : * About SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios * About Trimble Engineering's embedded systems for heavy equipment automation * A deeper understanding of embedded systems in the Automotive and Transportation market segment * How to debug deeply embedded systems * About Lauterbach's TRACE32 debugging tools * How to promote technical ideas within a company * What can be learned from studying engineering failures
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"Sensor Manufacturing and Process Control" can also be taken for academic credit as ECEA 5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our fourth course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled "Sensors and Sensor Circuits", our second course entitled "Motor and Motor Control Circuits", and our third course entitled "Pressure, Force, Motion, and Humidity Sensors". Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. Our second and third courses give you three hands-on lab experiments using the kit. This third course assumes that you already know how to use the kit. You will learn about sensor signal characterization and manufacturing techniques and how to optimize the accuracy of sensors. You will also learn about more advanced sensors, proportional-integral-derivative (PID) control, and how this method is used to give you a closed loop sensor feedback system. After taking this course, you will be able to: ● Understand how sensor manufacturers characterize and calibrate their sensors. ● Tune a PID control loop and access the PID control function of the Cypress PSoC development kit for a motor control application. ● Understand manufacturing methods used to build electro-mechanical and micro-machined sensors. You will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. These parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. All are quantity one except for N107-ND where you need three, and 493-15371-ND where you need two. 428-3390-ND P14355-ND FQU13N10LTU-ND N107-ND 1N5393-E3/54GICT-ND RNF14FTD1K00CT-ND P0.62W-1BK-ND 493-15371-ND Additional equipment needed: • Wire - various gauges and lengths • Breadboard • Oscilloscope – suggested models are: o PICOSCOPE 2204A-D2 available on www.digikey.com or o Digilent 410-324 | OpenScope MZ available on www.newark.com Depending on your budget, you can also investigate these models: o Hantek HT6022BE20MHz - https://www.amazon.com/dp/B009H4AYII o SainSmart DSO212 - https://www.amazon.com/dp/B074QBQNB7 o PoScope Mega50 USB - https://www.robotshop.com/en/poscope-mega50-usb-mso-oscilloscope.html o ADALM2000 - https://www.digikey.com/en/products/detail/analog-devices-inc./ADALM2000/7019661
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This course can also be taken for academic credit as ECEA 5361, part of CU Boulder’s Master of Science in Electrical Engineering degree. Hardware Description Languages for Logic Design enables students to design circuits using VHDL and Verilog, the most widespread design methods for FPGA Design. It uses natural learning processes to make learning the languages easy. Simple first examples are presented, then language rules and syntax, followed by more complex examples, and then finally use of test bench simulations to verify correctness of the designs. Lecture presentations are reinforced by many programming example problems so that skill in the languages is obtained. After completing this course, each student will have fundamental proficiency in both languages, and more importantly enough knowledge to continue learning and gaining expertise in Verilog and VHDL on their own.
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This course can also be taken for academic credit as ECEA 5705, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #1 in the Modeling and Control of Power Electronics course sequence. The course is focused on practical design-oriented modeling and control of pulse-width modulated switched mode power converters using analytical and simulation tools in time and frequency domains. A design-oriented analysis technique known as the Middlebrook's feedback theorem is introduced and applied to analysis and design of voltage regulators and other feedback circuits. Furthermore, it is shown how circuit averaging and averaged-switch modeling techniques lead to converter averaged models suitable for hand analysis, computer-aided analysis, and simulations of converters. After completion of this course, the student will be able to practice design of high-performance control loops around switched-mode power converters using analytical and simulation techniques. We strongly recommend students complete the CU Boulder Power Electronics specialization before enrolling in this course (course numbers provided for students in CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) After completing this course, you will be able to: ● Explain operation and modeling of switched-mode power converters ● Model open-loop transfer functions and frequency responses ● Design closed-loop regulated switched-mode power converters ● Verify operation of switched-mode power converters by simulations ● Understand the Feedback Theorem principles ● Apply the Feedback Theorem to practical design examples ● Derive averaged switch models of and averaged circuit models of power converters ● Apply averaged-switch modeling techniques to analysis and design and simulations of power converters
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This course can also be taken for academic credit as ECEA 5707, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #3 in the Modeling and Control of Power Electronics course sequence. After completion of this course, you will gain an understanding of issues related to electromagnetic interference (EMI) and electromagnetic compatibility (EMC), the need for input filters and the effects input filters may have on converter responses. You will be able to design properly damped single and multi-section filters to meet the conducted EMI attenuation requirements without compromising frequency responses or stability of closed-loop controlled power converters. We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Courses #1 (Averaged-Switch Modeling and Simulation) and #2 (Techniques of Design-Oriented Analysis) before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) ● Averaged-Switch Modeling and Simulation (ECEA 5705) ● Techniques of Design-Oriented Analysis (ECEA 5706) After completing this course, you will be able to: ● Understand conducted electromagnetic interference (EMI) and the need for input filter ● Understand input filter design principles based on attenuation requirements and impedance interactions. ● Design properly damped single-stage input filters. ● Design properly damped multi-stage input filters. ● Use computer-aided tools and simulations to verify input filter design
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This course can also be taken for academic credit as ECEA 5706, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #2 in the Modeling and Control of Power Electronics course sequence. The course is focused on techniques of design-oriented analysis that allow you to quickly gain insights into models of switching power converters and to translate these insights into practical converter designs. The design-oriented techniques covered are the Extra Element Theorem and the N-Extra Element Theorem (N-EET). Through practical examples, it is shown how the EET can be used to simplify circuit analysis, to examine the effects of initially unmodeled components, and to design damping of converters such as SEPIC and Cuk to achieve high-performance closed-loop controls. The N-EET will allow you to perform circuit analysis and to derive circuit responses with minimum algebra. Modeling and design examples are supported by design-oriented MATLAB script and Spice simulations. After completion of this course, the student will gain analytical skills applicable to the design of high-performance closed-loop controlled switching power converters. We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Course #1 Averaged-Switch Modeling and Simulation before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) ● Averaged-Switch Modeling and Simulation (ECEA 5705) After completing this course, you will be able to: ● Understand statement and derivation of the Extra Element Theorem ● Apply the Extra Element Theorem to converter analysis and design problems ● Understand the statement of the N-Extra Element Theorem ● Apply the N-Extra Element Theorem to converter analysis and design problems ● Apply techniques of design-oriented analysis to analysis, design, and simulations of switching converters
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This course can also be taken for academic credit as ECEA 5708, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #4 in the Modeling and Control of Power Electronics course sequence. The course is focused on current-mode control techniques, which are very frequently applied in practical realizations of switched-mode. Practical advantages of peak current mode control are discussed, including built-in overcurrent protection, simpler and more robust dynamic responses, as well as abilities to ensure current sharing in parallel connected converter modules. For peak current-mode controlled converters, slope compensation, and high-frequency effects are discussed in detail. Upon completion of the course, you will be able to understand, analyze, model, and design high-performance current-mode controllers for dc-dc power converters, including peak current-mode controllers and average current-mode controllers. We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Course #1 (Averaged-Switch Modeling and Simulation) before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) ● Averaged-Switch Modeling and Simulation (ECEA 5705) After completing this course, you will be able to: ● Understand the operating principles and benefits of current-mode control for dc-dc converters ● Model and design peak current-mode controlled dc-dc converters ● Model and design average current-mode controlled dc-dc converters ● Use computer-aided tools and simulations to verify current-mode controlled dc-dc converters
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This course can also be taken for academic credit as ECEA 5346, part of CU Boulder’s Master of Science in Electrical Engineering degree. UX and Interface Design for Embedded Systems is the first of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This first course is focused on user experience (UX) and the related methods, practices, and principles that will help ensure your embedded interface designs for devices and systems are what your users both need and want. The class includes an introduction to UX, and then a four phase breakdown of a typical UX design process, including planning, user research, design methods, and testing for verification and validation. Much of the content provides generally applicable UX techniques, but particular focus is included for considerations in developing embedded devices. The class includes practical projects that let you try some of the key methods in a thorough interface design process.
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This course can also be taken for academic credit as ECEA 5316, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course provides an in-depth and full mathematical derivation and review of models for scheduling policies and feasibility determination by hand and with rate monotonic tools along with comparison to actual performance for real-time scheduled threads running on a native Linux system. By the end of this course the learner will be able to full derive the fixed priority rate monotonic least upper bound for feasibility as well as justifying the rate monotonic policy and will be able to compare to dynamic priority scheduling including earliest deadline first and least laxity policies. At the end of this course learners will be able to fully derive and explain the math model for the rate monotonic least upper bound as well as performing timing diagram analysis for fixed and dynamic priority software services. Tools to provide analysis will be learned (Cheddar) to automate timing analysis and to compare to actual performance. Specific objectives include: ● Rate monotonic theory (complete math models) ● Differences between fixed priority rate monotonic policy and dynamic priority earliest deadline first and least laxity policies ● Scheduling theory and practice writing code for multi-frequency executives, priority preemptive RTOS services, and real-time threaded services on traditional operating systems (Linux) ● Building a simple Linux multi-service system using POSIX real-time extensions on Raspberry Pi 3b using sequencing and methods to log and verify agreement between theory and practice ● Timing diagram generation and analysis using Cheddar
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This course can also be taken for academic credit as ECEA 5315, part of CU Boulder’s Master of Science in Electrical Engineering degree. Course Description: In this course, students will design and build a microprocessor-based embedded system application using a real-time operating system or RT POSIX extensions with Embedded Linux. The course focus is on the process as well as fundamentals of integrating microprocessor-based embedded system elements for digital command and control of typical embedded hardware systems. Lab Description: The course requires the student to install embedded Linux on the Raspberry Pi ARM A-Series System-on-Chip processor. This course must be completed using a Raspberry Pi as an embedded system (headless) not a PC running Linux. You will however find Linux as a useful host development system or Windows with an SSH terminal access tool such as Putty, MobaXterm, or equivalent.
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This course will introduce you to all aspects of development of Soft Processors and Intellectual Property (IP) in FPGA design. You will learn the extent of Soft Processor types and capabilities, how to make your own Soft Processor in and FPGA, including how to design the hardware and the software for a Soft Processor. You will learn how to add IP blocks and custom instructions to your Soft Processor. After the Soft Processor is made, you learn how to verify the design using simulation and an internal logic analyzer. Once complete you will know how to create and use Soft Processors and IP, a very useful skill. This course consists of 4 modules, approximately 1 per week for 4 weeks. Each module will include an hour or two of video lectures, reading assignments, discussion prompts, and an end of module assessment.
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This course will give you hands-on FPGA design experience that uses all the concepts and skills you have developed up to now. You will need to purchase a DE10-Lite development kit. You will setup and test the MAX10 DE10-Lite board using the FPGA design tool Quartus Prime and the System Builder. You will: Design and test a Binary Coded Decimal Adder. Design and test a PWM Circuit, with verification by simulation. Design and test an ADC circuit, using Quartus Prime built-in tools to verify your circuit design. Create hardware for the NIOS II soft processor, including many interfaces, using Qsys (Platform Designer). Instantiate this design into a top-level DE10-Lite HDL file. Compile your completed hardware using Quartus Prime. Enhance and test a working design, using most aspects of the Quartus Prime Design Flow and the NIOS II Software Build Tools (SBT) for Eclipse. Create software for the NIOS II soft processor, including many interfaces, using Qsys (Platform Designer) and the SBT. Compile your completed software using the SBT. Use Quartus Prime to program both the FPGA hardware configuration and software code in you DE10-Lite development kit. Record all your observations in a lab notebook pdf. Submit your project files and lab notebook for grading. This course consists of 4 modules, approximately 1 per week for 4 weeks. Each module will include an hour or less of video lectures, plus reading assignments, discussion prompts, and project assignment that involves creating hardware and/or software in the FPGA.
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This course can also be taken for academic credit as ECEA 5347, part of CU Boulder’s Master of Science in Electrical Engineering degree. Rapid Prototyping is the second of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This course is focused on rapid prototyping of devices and systems and the related methods, practices, and principles that will help ensure your embedded interface designs are what your users both need and want. The class includes an introduction to rapid prototyping, prototyping device and system user interfaces, prototyping devices, and design considerations and perspectives for devices. The content ranges from general design best practices to specifics for embedded devices of different types and specific flavors of user interfaces, but all are presented to support developing embedded devices. The class includes practical projects that let you try some of standard methods in software development of prototype graphical user interfaces for devices using Qt and HTML. This course can be taken for academic credit as ECEA 5347, part of CU Boulder's Master of Science in Electrical Engineering degree.
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This course can also be taken for academic credit as ECEA 5317, part of CU Boulder’s Master of Science in Electrical Engineering degree. Upon completion of this course the learner will know the difference between systems you can bet your life on (mission critical) and those which provide predictable response and quality of service (reliable). This will be achieved not only by study of design methods and patterns for mission critical systems, but also through implementation of soft real-time systems and comparison to hard real-time. Methods of verification to determine ability to meet mission critical as well as soft real-time requirements will be learned so that the learner can properly assess risk, reliability and impact of failure in real-time systems. At the end of this course learners will be able to apply an architectural style (cyclic executive, RTOS, or embedded Linux) to more detailed design of a mission critical system, a soft real-time system, or a mixed hard and soft real-time system, including: ● Thorough understanding of hardware/software device interfaces and resource view for hardware abstraction layers (HAL, BSP) ● Design trade-offs with different real-time hardware architectures including single core, multi-core, hybrid-FPGA, GP-GPU, and DSP systems, with emphasis on multi-core ● Mission critical embedded systems architecture and key design elements ● Fault tolerant processing, memory, and I/O concepts
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This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree. M2M and IoT Interface Design and Protocols is the third of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This course is focused on connecting devices to each other and to the cloud to create prototypes and actual systems that flow data from devices to consumers. The class includes an introduction to M2M (Machine-to-Machine) and IoT (Internet of Things) concepts, using the cloud to develop IoT systems (specifically AWS (Amazon Web Services) and its IoT framework), a review of common communications protocols at every level of connected devices, and other IoT design concerns such as security, message queuing approaches, and the use and design of APIs and microservices . The content ranges from general design best practices to specifics for select tools and methods, but all are presented to support developing embedded devices in IoT applications. The class includes practical projects that let you try some of standard methods in software development of prototype graphical user interfaces for devices using AWS, Python, and optionally Node.JS. This course can be taken for academic credit as ECEA 5348, part of CU Boulder's Master of Science in Electrical Engineering degree.
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This course can also be taken for academic credit as ECEA 5318, part of CU Boulder’s Master of Science in Electrical Engineering degree. The final course emphasizes hands-on building of an application using real-time machine vision and multiple real-time services to synchronize the internal state of Linux with an external clock via observation. Compare actual performance to theoretical and analysis to determine scheduling jitter and to mitigate any accumulation of latency. The verification of the final project will include comparison of system timestamp logs with a large set of images which can be encoded into a video. The final report will be peer reviewed and the captured frames and video uploaded for scripted assessment. Course Learning Outcomes: ● Outcome 1: Decompose a problem and set of basic real-time requirements into software modules and Linux POSIX real-time threads ● Outcome 2: Analyze services in terms of C (execution time), T (request period), and D (deadlines for completion) to establish feasibility and margin for meeting requirements ● Outcome 3: Design and construct a solution for a native Linux system equipped with a webcam to verify and demonstrate system synchronization using machine vision processing
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This course can also be taken for academic credit as ECEA 5709, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #5 in the Modeling and Control of Power Electronics Specialization. The course is focused on modeling and control of grid-tied power electronics. Upon completion of the course, you will be able to understand, analyze, model, and design low-harmonic rectifiers and inverters interfacing dc loads or dc power sources, such as photovoltaic arrays, to the single-phase ac power grid. We strongly recommend students complete the CU Boulder Power Electronics Specialization as well as Courses #1 (Averaged-Switch Modeling and Simulation) and #4 (Current-Mode Control) before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program): ● Introduction to Power Electronics (ECEA 5700) ● Converter Circuits (ECEA 5701) ● Converter Control (ECEA 5702) ● Averaged-Switch Modeling and Simulation (ECEA 5705) ● Current-Mode Control (ECEA 5708) After completing this course, you will be able to: ● Understand the operating principles of low-harmonic, high power factor rectifier and inverters ● Model and design current shaping and voltage control loops in power factor correction (PFC) rectifiers ● Model and design control loops in single-phase dc-to-ac inverters ● Design photovoltaic power systems tied to the single-phase ac power grid ● Use computer-aided tools and simulations to verify the design of rectifiers and inverters
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This course can also be taken for academic credit as ECEA 5612, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course teaches commonly used approximation methods in quantum mechanics. They include time-independent perturbation theory, time-dependent perturbation theory, tight binding method, variational method and the use of finite basis set. In each case, a specific example is given to clearly show how the method works. At the end of this course learners will be able to: 1. use time-dependent perturbation theory to obtain first- and second -order corrections to energies and wavefunctions, 2. use time-dependent perturbation theory and obtain transition rates, and 3. use tight binding method, variational method and finite basis set to obtain approximate solutions of various quantum mechanics problems.
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This course can also be taken for academic credit as ECEA 5611, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces the quantum mechanical concept of angular momentum operator and its relationship with rotation operator. It then presents the angular momentum operators, their eigenvalues and eigenfunctions. Finally, it covers the theory of angular momentum addition. At the end of this course learners will be able to: 1. describe and analyze angular momentum states using quantum mechanically defined angular momentum operators, 2. solve angular momentum eigenvalue equations and 3. add angular momenta quantum mechanically.
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This course can also be taken for academic credit as ECEA 5610, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course covers the fundamental concepts and topics of quantum mechanics which include basic concepts, 1D potential problems, time evolution of quantum states, and essential linear algebra. It provides undergraduate level foundational knowledge and build on them more advanced topics. At the end of this course learners will be able to: 1. demonstrate full grasp of basic concepts in quantum mechanics including wave-particle duality, operators and wavefunctions, and evolution of quantum states, 2. achieve mastery of the mathematical apparatus needed for quantum mechanics and 3. attain foundational knowledge required to learn more advanced quantum mechanics and applications.
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