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This course may also be taken for academic credit as ECEA 5607, part of the CU Boulder graduate program in electrical engineering. Displays Introduction This course takes an in-depth look at electronic display devices, including liquid crystal, electroluminescent, plasma, organic light-emitting diode, and vacuum tube displays. You will learn about various design principles, capabilities, and limitations, as well as a variety of real-world applications in professional optics. Course Learning Outcomes Upon completion of this course, you will be able to... (1) Select a display technology for a specific application (LIDAR, imaging, microscopy, etc.) (2) Design a system given the limitations of a given display technology (i.e., addressability) (3) Design a system that maximizes the contract

This course may also be credited toward ECEA 5606, which is part of the CU Boulder electrical engineering master's degree program. Nanophotonics and Detectors Introduction This course focuses on nanophotonic light-emitting devices and optical detectors, including metal semiconductors, metal semiconductor insulators, and p-n junctions. We will also cover photoconductors, avalanche photodiodes, and photomultipliers. Weekly homework assignments will challenge you to apply the analysis and design principles you have learned in preparation for solving 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 design lasers (2) Apply low-dimensional structures to design photonic devices (3) Select and design an optical detector for a given system and application

This course may also be taken for academic credit as ECEA 5605, part of CU Boulder's Electrical Engineering Master of Science program. Light-Emitting Diodes and Semiconductor Lasers Course Introduction You will learn about semiconductor light-emitting diodes (LEDs) and lasers, as well as important rules for their analysis, planning, design, and implementation. You will also apply your knowledge by completing challenging homework assignments to reinforce your understanding of the material and prepare you for its application 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 its efficiency (2) Design a semiconductor laser (3) Select suitable semiconductor materials for light-emitting devices

This course may also be credited toward ECEA 5733 in CU Boulder's Master of Science in Electrical Engineering program. In this course, you will learn how to implement various health assessment methods and evaluate their relative merits. By the end of the course, you will be able to: - Identify the main degradation mechanisms occurring in lithium-ion cells and understand how they work - Run the provided Octave/MATLAB script to estimate overall capacity using the WLS, WTLS, and AWTLS methods and laboratory test data, and evaluate the results - Calculate confidence intervals for overall capacity estimates - Calculate cell equivalent series resistance estimates using laboratory test data - Identify the trade-offs between joint and dual condition and parameter estimation, and the steps that need to be taken to ensure reliable estimates (Hons)

This course can also be credited as ECEA 5386, part of CU Boulder's Electrical Engineering Master of Science program. It is Part 2 of the specialization. In this course, students will learn: How to staff, plan, and execute a project How to write a bill of materials for a product How to calibrate sensors and verify sensor measurements How hard drives and solid state drives work How the major file systems work and the 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

The Pressure, Force, Motion, and Humidity Sensors course may also be taken for academic credit as ECEA 5342, part of CU Boulder's Electrical Engineering Master of Science program. This is our third course in the Sensor and Motor Embedding specialization. To get the most out of this course, you should first take our first course, Sensors and Sensing Circuits. Our first course provides you with instruction on using the hardware and software development kit we have selected for the labs. This third course assumes that you already know how to use the kit. After completing this course, you will be able to: ● Understand how to select the correct AC or DC motor for a machine project. ● Integrate a motor into a machine based on an analysis of the motor equations for voltage, current, torque, and speed. ● Integrate a motor and its accompanying rotary encoder into a motor control circuit in both hardware and software.

This course can also be credited toward ECEA 5734, part of the CU Boulder Electrical Engineering Master of Science program. In this course, you will learn how to design a cell balancing system and calculate the remaining energy and available power for a battery bank. By the end of the course, you will be able to: - Evaluate various cell balancing designs and articulate their relative merits - Determine component values ​​for a simple passive balancing scheme - Use the provided Octave/MATLAB modeling tools to estimate the battery bank balancing rate - Calculate the remaining energy and available power using a simple cell model - Use the provided Octave/MATLAB script to calculate the available power using a complex cell model with equivalent circuit

The goal of this course is to teach you the simple principles that expert managers use to improve employee performance and motivation. You will never have to avoid telling employees “the truth” again, because the seven techniques we will teach you will not make employees afraid or defensive. As a manager, or someone who wants to be a manager, you will also learn specifically what feedback is, how negative feedback is valued more highly than positive feedback, and how positive feedback can have a profound impact on behaviors such as creativity and teamwork. Giving feedback is a skill that develops over time. We give you a process you can use to improve your feedback skills and give it with confidence. You’ll find that there’s a scientific basis for many of your observations and intuitions about giving feedback, such as how hard it is to give feedback correctly, how people hate giving feedback, and more. It’ll be reassuring to learn how to overcome these difficulties. We hope you have a great time becoming a better manager!

This course focuses on communities and organisations in transition and using your existing skills and new knowledge to lead change. In this course we will discuss the basics of sustainability and resilience. We will then look at the core principles of working as a change leader. This course will provide additional opportunities to develop your skills. We will cover asset mapping and needs assessment, two important skills that you will need to use when working with clients to understand community and organisational needs, ensure broad engagement and use a systems approach to enable the community to identify its own needs and identify its own assets. This course will be divided into three modules. The Sustainability & Resilience module will introduce the core principles of sustainability and resilience so that you know the difference between the two and the potential ways in which they can be implemented in your workplace and practice. In Needs Assessment & Asset Mapping I will cover two important techniques for bringing community and organisational needs to the forefront and engaging stakeholders so that they have a voice and are involved in the process. Systems Thinking for Change will teach you how to use systems thinking principles as a change agent, and will provide advice and motivation for making change happen. Whether you work for a Fortune 500 company, a small nonprofit, or a community organizer, it’s time to step up and put your newfound knowledge into practice. The journey won’t always be easy and it’s often a long one. But real change requires radical change and genuine, authentic engagement with the people who will see and feel that change every day.

In this course we will explore how individual problem solving, judgment, and decision making can be influenced by interpersonal and developmental factors.

This course can also be credited toward ECEA 5361 in CU Boulder's Electrical Engineering Master of Science program. Hardware Description Languages ​​for Logic Design allows students to design circuits using VHDL and Verilog, the most common design methods for FPGAs. It uses natural learning processes to make learning the languages ​​easy. Simple examples are presented first, then the language rules and syntax, followed by more complex examples, and finally the use of bench simulations to verify the correctness of the designs. Lecture presentations are supported by a large number of programming example problems to build proficiency in the languages. Upon completion of the course, each student will have a fundamental knowledge of both languages, and, more importantly, enough knowledge to continue studying and gaining experience in Verilog and VHDL on their own.

The digital advertising landscape is complex. There are many different types of advertising, including: display, video, audio, sponsored, native, social, and search. Consumer data and the advertising technology that works with that data are both ubiquitous and complex. As a result, the vast number of options available to digital marketers can be difficult to understand and manage. This course covers the major forms of digital advertising, from basic display, search, and advanced programmatic advertising concepts. Leading programmatic advertising provider The Trade Desk joins us as programmatic advertising experts and offers a practical roadmap for how small businesses can use modern advertising technology to achieve business goals. Overall, this course leaves students with an understanding of digital advertising in its various forms, as well as an understanding of how to strategically identify digital advertising opportunities.