Code | Title | Credit Hours |
---|---|---|
Core Requirements: | ||
Programming in Java | 3 | |
Electronic Circuits | 4 | |
Signals and Systems | 4 | |
Logic Design and Computer Organization | 4 | |
Electromagnetic Fields I | 3 | |
Signal Processing | 3 | |
Semiconductor Electronic Devices | 4 |
Core courses provide our students with a strong background in signals and systems, computers, electronics (both analog and digital), and semiconductor devices. Students are required to develop depth in at least one of the following technical areas: signals and control, solid state, computer hardware, computer software, circuits, robotics, and biomedical applications. In addition to the core courses, each electrical engineering student must complete the following requirements:
Each student must complete 21 credit hours of approved technical electives. Technical electives shall be chosen to fulfill the depth requirement (see next) and otherwise increase the student’s understanding of electrical engineering. Technical electives not used to satisfy the depth requirement are more generally defined as any course related to the principles and practice of electrical engineering. This includes all ECSE courses at the 200-level and above and can include courses from other programs. All non-ECSE technical electives must be approved by the student’s academic advisor.
Code | Title | Credit Hours |
---|---|---|
Statistics for Signal Processing | 3 |
Code | Title | Credit Hours |
---|---|---|
Junior Engineering Design Seminar | 3 | |
Senior Engineering Design Projects | 4 |
In consultation with a faculty advisor, a student completes the program by selecting technical and open elective courses that provide in-depth training in one or more of a spectrum of specialties, such as, control, signal processing, electronics, integrated circuit design and fabrication, and robotics. With the approval of the advisor, a student may emphasize other specialties by selecting elective courses from other programs or departments.
Additionally, math and statistics classes are highly recommended as an integral part of the student's technical electives to prepare for work in industry and government and for graduate school. The following math/statistics classes are recommended and would be accepted as approved technical electives:
Code | Title | Credit Hours |
---|---|---|
Introduction to Linear Algebra for Applications | 3 | |
Linear Algebra | 3 | |
Introduction to Scientific Computing | 3 | |
Introduction to Probability | 3 |
Other Math/Statistics courses may be used as technical electives with the approval of the student's academic advisor.
Many courses have integral or associated laboratories in which students gain “hands-on” experience with electrical engineering principles and instrumentation. Students have ready access to the teaching laboratory facilities and are encouraged to use them during non-scheduled hours in addition to the regularly scheduled laboratory sessions. Opportunities also exist for undergraduate student participation in the wide spectrum of research projects being conducted in the department.
Each student must show a depth of competence in one technical area by taking at least three courses from one of the following areas. This depth requirement may be met using a combination of the above core courses and a selection of open and technical electives. Alternative depth areas may be considered by petition to the program faculty.
Code | Title | Credit Hours |
---|---|---|
Control Engineering I with Laboratory | 3 | |
Signal Processing | 3 | |
Wireless Communications | 3 | |
Communications and Signal Analysis | 3 | |
Digital Communications | 3 | |
Advanced Control and Energy Systems | 3 | |
Applied Control | 3 | |
Linear Algebra | 3 |
Code | Title | Credit Hours |
---|---|---|
Introduction to Data Structures | 4 | |
Discrete Mathematics | 3 | |
Intro to Operating Systems and Concurrent Programming | 4 | |
Modern Robot Programming | 3 | |
Software Craftsmanship | 4 | |
Algorithms | 3 | |
Introduction to Artificial Intelligence | 3 | |
Software Engineering | 3 |
Code | Title | Credit Hours |
---|---|---|
Semiconductor Electronic Devices | 4 | |
Integrated Circuits and Electronic Devices | 3 | |
or | Integrated Circuit Technology I | |
Solid State Electronics II | 3 | |
Introduction to Modern Physics | 3 |
Code | Title | Credit Hours |
---|---|---|
Electronic Circuits | 4 | |
Instrumentation Electronics | 3 | |
Electronic Analysis and Design | 3 | |
Applied Circuit Design | 4 | |
MOS Integrated Circuit Design | 3 | |
Principles of Biomedical Instrumentation | 3 |
Code | Title | Credit Hours |
---|---|---|
Logic Design and Computer Organization | 4 | |
Embedded Systems Design and Laboratory | 3 | |
Computer Architecture | 3 | |
Digital Systems Design | 4 | |
Computer Design - FPGAs | 3 | |
VLSI/CAD | 4 |
Code | Title | Credit Hours |
---|---|---|
Physiology-Biophysics I (and 2 of the following 4 courses) | 3 | |
Principles of Biomedical Instrumentation | 3 | |
Biomedical Imaging | 3 | |
Bioelectric Engineering | 3 | |
Biomedical Instrumentation and Signal Processing | 3 |
Code | Title | Credit Hours |
---|---|---|
Signals and Systems | 4 | |
Fundamentals of Robotics | 4 | |
Control Engineering I with Laboratory | 3 | |
Modern Robot Programming | 3 | |
Mobile Robotics | 3-4 | |
or | Mobile Robotics | |
Computational Intelligence I: Basic Principles | 3 | |
Robotics I | 3 |
The following is a suggested program of study. Current students should always consult their advisors and their individual graduation requirement plans as tracked in SIS .
First Year | ||
---|---|---|
Fall | Credit Hours | |
Principles of Chemistry for Engineers | 4 | |
Foundations of Engineering and Programming | 3 | |
Calculus for Science and Engineering I | 4 | |
3 | ||
Open Elective | 3 | |
Credit Hours | 17 | |
Spring | ||
Chemistry of Materials | 4 | |
Calculus for Science and Engineering II | 4 | |
General Physics I - Mechanics | 4 | |
3 | ||
Credit Hours | 15 | |
Second Year | ||
Fall | ||
Logic Design and Computer Organization | 4 | |
Introduction to Circuits and Instrumentation | 4 | |
Calculus for Science and Engineering III | 3 | |
General Physics II - Electricity and Magnetism | 4 | |
Credit Hours | 15 | |
Spring | ||
Programming in Java | 3 | |
Electronic Circuits | 4 | |
Electromagnetic Fields I | 3 | |
Elementary Differential Equations | 3 | |
3 | ||
Credit Hours | 16 | |
Third Year | ||
Fall | ||
Signals and Systems | 4 | |
Statistics for Signal Processing | 3 | |
3 | ||
Technical Elective | 3 | |
Technical Elective | 3 | |
Credit Hours | 16 | |
Spring | ||
Signal Processing | 3 | |
Semiconductor Electronic Devices | 4 | |
Junior Engineering Design Seminar | 3 | |
3 | ||
Technical Elective | 3 | |
Credit Hours | 16 | |
Fourth Year | ||
Fall | ||
Senior Engineering Design Projects | 4 | |
3 | ||
Technical Elective | 3 | |
Technical Elective | 3 | |
Open Elective | 3 | |
Credit Hours | 16 | |
Spring | ||
Impact of Engineering on Society | 3 | |
3 | ||
Technical Elective | 3 | |
Technical Elective | 3 | |
Open Elective | 3 | |
Credit Hours | 15 | |
Total Credit Hours | 126 |
Unified General Education Requirement .
Students who have complementary interests in computer software or computer science can take ECSE 132 / CSDS 132 as an alternative.
Selected students may be invited to take PHYS 123 and PHYS 124 in place of PHYS 121 and PHYS 122 .
Technical electives will be chosen to fulfill the depth requirement and otherwise increase the student’s understanding of electrical engineering. Courses used to satisfy the depth requirement must come from the department’s list of depth areas and related courses. Technical electives not used to satisfy the depth requirement are more generally defined as any course related to the principles and practice of electrical engineering. This includes all ECSE courses at the 200 level and above, and can include courses from other programs. All non-ECSE technical electives must be approved by the student’s advisor.
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This resource was created as part of the Future Morph programme from the Science Council and dates from 2010. Although historic, it is still relevant and useful today. It includes a video in which a student talks about his course in electrical and electronic engineering. He describes how one project was to make and test a circuit that included a light-sensitive resistor. A second activity describes a class experiment into the current and voltage characteristics of a semiconductor diode.
More details about the current activity of the Science Council can be found on their website , which includes the professional registration award for educators, Chartered Science Teacher ( CSciTeach ) .
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The following series of engineering ethics cases were created by interviewing numerous engineers from Silicon Valley and beyond.
The cases have been written, anonymized, and honed to highlight the ethical content from each interview. While these cases are meant for engineering students and professionals for their professional development, nearly all of the cases occur in the context of business, and therefore are also relevant for those seeking business ethics cases.
These cases are suitable as homework and/or for classroom discussion. The goal of this project is to acquaint engineering students and professionals with the variety of ethical experiences of engineering as practiced “in the field.” By becoming familiar with problems faced by other engineers we hope to thereby prepare those reading these cases if they too encounter difficult ethical dilemmas in their work.
Cases range from the mundane to the deadly. While we do not reveal how each particular case turned out, in general they turned out well – the people involved made the right decisions. But this is not to say that all of these right decisions came without personal cost. A few of the engineers did face negative repercussions and a very few even needed to find new employment. However, overall the interviewees were satisfied with how events turned out, even if they faced negative repercussions for their good decisions. They understood that doing the right thing is good in itself, regardless of the personal consequences they may have faced.
The engineering ethics cases can be sorted into the following categories:
A quality assurance engineer must decide whether or not to ship products that might be defective.
An intern at a power electronics startup faces unkind comments from a fellow engineer. She suspects that her colleague is prejudice toward female engineers.
A chemical engineering professor discovers that a colleague has taken credit for his research.
A bioengineering researcher discovers an error in protocol and feels pressured not to report it to her supervisor.
A graduate student suspects her research adviser has earned tenure under false pretenses.
A computer startup company risks violating copyright laws if it reuses a code that is the intellectual property of another company.
A recently promoted manager at an industrial engineering company discovers that factory workers are asked to work more than eight hours a day without getting paid overtime.
Full transparency might prevent a project leader from closing a deal with a valuable client. Should he still clarify the situation to his client?
A manager at a consumer electronics company struggles over whether or not he should disclose confidential information to a valued customer.
A medical researcher is asked to trim data before presenting it to the scientific advisory board.
A technical sales engineer feels pressure to falsify a sales report in order to prevent the delay of her company's IPO.
When a computer filled with personal data gets stolen, a data company must decide how to manage the breach in security.
Employees of a computer hardware company are angered by a manager that demonstrates favoritism.
A project engineer believes his company is providing the wrong form of technology to an in-need community in East Africa.
A computer engineer is asked to divulge private medical data for marketing purposes.
Environmental engineers face pressure to come up with data that favors their employers.
In this ethics case, a woman is displeased with her work role at a computer hardware company.
A systems engineering company employee quits after getting pressured to falsify product testing paperwork.
A manager at a nonprofit mechanical engineering firm questions how responsible her company should be for ongoing maintenance on past projects.
An engineer for an environmental consulting firm must decide whether or not he should encourage his client to go with a more environmentally sustainable construction plan.
A genetic engineer feels a responsibility to educate colleagues on the truth behind stem cell research.
An engineering manager gets pressured to bribe a foreign official in order to secure a business venture in East Africa.
An African-American electronics design lead wonders whether his colleague's contentious behavior is motivated by racism.
A medical company asks blood sample suppliers to sign an ethically questionable consent form.
A quality assurance tester gets pressured to falsify data about a new product from a major cell phone company.
Should a production engineer prioritize a customer's desires over safety?
A female intern at a construction company faces disrespectful treatment because of her gender.
A new hire at an electronics startup struggles to decide between telling the truth and maximizing the company's profit.
A fellow for a global services program faces an ethical dilemma when a colleague asks him to falsify receipts.
A researcher of regenerative medicine meets a man who is eager sign up for potentially dangerous human testing.
A bioengineer's research leads to the discovery that a patient might have prostate cancer.
Two support engineers at a South Bay audio visual electronics startup question the fairness of a supervisor's decision.
An employee overseeing data analysis on a clinical drug trial has concerns about the safety of a client's drug.
The engineering ethics cases in this series were written by Santa Clara University School of Engineering students Clare Bartlett, Nabilah Deen, and Jocelyn Tan, who worked as Hackworth Engineering Ethics Fellows at the Markkula Center for Applied Ethics over the course of the 2014-2015 academic year. In order to write these cases, the fellows interviewed numerous engineers and collected nearly 40 engineering ethics cases from Silicon Valley and beyond. The Hackworth Fellowships are made possible by a generous gift from Joan and the late Michael Hackworth.
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Title: autoencoder-based and physically motivated koopman lifted states for wind farm mpc: a comparative case study.
Abstract: This paper explores the use of Autoencoder (AE) models to identify Koopman-based linear representations for designing model predictive control (MPC) for wind farms. Wake interactions in wind farms are challenging to model, previously addressed with Koopman lifted states. In this study we investigate the performance of two AE models: The first AE model estimates the wind speeds acting on the turbines these are affected by changes in turbine control inputs. The wind speeds estimated by this AE model are then used in a second step to calculate the power output via a simple turbine model based on physical equations. The second AE model directly estimates the wind farm output, i.e., both turbine and wake dynamics are modeled. The primary inquiry of this study addresses whether any of these two AE-based models can surpass previously identified Koopman models based on physically motivated lifted states. We find that the first AE model, which estimates the wind speed and hence includes the wake dynamics, but excludes the turbine dynamics outperforms the existing physically motivated Koopman model. However, the second AE model, which estimates the farm power directly, underperforms when the turbines' underlying physical assumptions are correct. We additionally investigate specific conditions under which the second, purely data-driven AE model can excel: Notably, when modeling assumptions, such as the wind turbine power coefficient, are erroneous and remain unchecked within the MPC controller. In such cases, the data-driven AE models, when updated with recent data reflecting changed system dynamics, can outperform physics-based models operating under outdated assumptions.
Comments: | Accepted for Conference on Decision and Control 2024 |
Subjects: | Systems and Control (eess.SY) |
Cite as: | [eess.SY] |
(or [eess.SY] for this version) | |
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Old and abandoned mine workings become inaccessible with time owing to safety issues thereby demanding insight review of strata overlying such areas. Electrical Resistivity Tomography (ERT) survey was carried out at locations within Kajora area of Eastern Coalfield Limited (ECL) in Raniganj coalfield, India to assess the present strata condition for the proposed high voltage electric transmission layout. Parallel 2D ERT profiles were carried out with 20 m offset covering the study area. Considering the sensitiveness in horizontal direction i.e., identification of vertical structures, the Dipole-Dipole array methodology was implemented. The acquired data sets were filtered and processed using Prosys-II software. L-curve criteria for misfit data was used for proper interpretation of subsurface features. Non-linear least-squares regularized optimization method and 3D ERT volumetric model were performed by combining 2D ERT parallel profiles data sets for better resolution of underground old mine working and accurately map the status of mine workings. High resistivity magnitude ranging between 200 Ωm to 1600 Ωm indicated intact bedrock and solid pillar. Depillared workings area (either dry-filling or air-filled) was identified through anomalous high resistivity magnitude of more than 1600 Ωm. The data generated were also validated with underground working plan and available borehole data. Combination of 2D ERT and 3D ERT techniques against each profile was found to be effective for detection of strata condition for safe installation of terrestrial high voltage electric transmission towers.
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All the data are in the form of graphical output generated through software. There is no any additional data.
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The authors extend thanks to Director, CSIR-Central Institute of Mining and Fuel Research, Dhanbad, for providing relevant support, guidance in this study and permission for publication.
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Bharti, A.K., Prakash, A., Oraon, S. et al. Electrical Resistivity Tomography study above inaccessible old mine workings for safe erection of high voltage electricity power transmission terrestrial towers: a case study . Bull Eng Geol Environ 83 , 398 (2024). https://doi.org/10.1007/s10064-024-03893-6
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Received : 25 September 2023
Accepted : 29 August 2024
Published : 13 September 2024
DOI : https://doi.org/10.1007/s10064-024-03893-6
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An electrifying experience.
By Lyra Fontaine
ME’s newest student club Electric Truck (E-Truck) is daring to do what many other university students haven’t done before: convert a medium-duty diesel truck into a battery electric vehicle.
E-Truck's structures sub-team needed to gain access to and 3D-scan the wheel hubs and suspension. Photo by Raymond Smith/University of Washington
The club has more than 80 students from ME, electrical and computer engineering (ECE), civil and environmental engineering, industrial and systems engineering, computer science and aeronautics and astronautics.
“It’s an amazing team with a positive atmosphere,” says ME senior John Armstrong V, one of the club’s co-founders who serves as the team’s operational director.
The club is building on the momentum of former ME club EcoCAR , which participated in a four-year, multi-university challenge to modify a 2019 Chevrolet Blazer and improve the car’s energy efficiency, safety and consumer appeal. E-Truck students are advised by ME Professor Per Reinhall and sponsored by the PACCAR Technical Center, which has provided the truck as well as mentorship.
“The partnership with the PACCAR Technical Center has been outstanding,” Reinhall says. “E-Truck’s industry mentors, such as systems engineering lead Raeef Barsoum, have been very generous with their time.”
The club has a four-year timeline. By 2027, they plan to have transformed their vehicle into an all-battery electric truck that meets U.S. Department of Energy (DOE) standards. The truck will weigh about 33,000 pounds and run about 200 miles before it needs to be charged, the students estimate.
“We’re working on understanding the truck as a system and figuring out the mileage requirements, the motors and which batteries to use,” Armstrong says.
The team has disassembled the truck to understand its components. Photo by Raymond Smith/University of Washington
According to the DOE , medium- and heavy-duty vehicles generate more than 20% of greenhouse gas emissions from the transportation sector. DOE’s recent study showed that by 2030, nearly half of zero-emissions medium- and heavy-duty electric trucks will be cheaper to buy, operate and maintain compared to diesel-powered combustion engine vehicles.
The club’s members are passionate about sustainable transportation solutions and interested in applying their knowledge to a large-scale project with the potential to make a positive impact on the environment, says Max White, ME senior, E-Truck co-founder and the club’s technical director.
“It’s cool to see the excitement students have for the scope of this project,” White says. “More than half of the students in the club are first-year students, so they might be able to work on this project from start to finish, from idea to final product.”
Outside of being an Engineering Student Organization , E-Truck students are involved in four related capstones in ME and ECE about retrofit packaging optimization, systems engineering, electrical architecture and controls.
“It’s been fun to advise the E-Truck capstone projects and the student organization,” says Reinhall. “While the club is student-led, I answer technical questions and connect them to other faculty with expertise they need. My goal is to keep morale high and make sure the project is fun.”
In addition to Reinhall and industry mentors from PACCAR, ME machine shop lab engineers Eamon McQuaide and Veasna Thon (M.S. ’22) assist the team.
“The students are learning the industry standard way of developing vehicles. They’re also learning about systems engineering, such as specifying what they want to build, designing the truck for a specific goal and ensuring different teams communicate.” — Per Reinhall, ME Professor
E-Truck's structures sub-team with the truck, provided by PACCAR Technical Center. Photo by Raymond Smith/University of Washington
The team prepared for the truck’s arrival by cleaning and organizing the garage room in the Engineering Annex, waxing the floors and inventorying tools and supplies. Members also acquired software for structural analysis, computer-aided design (CAD), 3D modeling, simulations and more.
“We want to train our team with skills that will enable them to be engineering leaders,” Armstrong says.
The truck is now disassembled as the team works to understand its components, such as the wiring, through creating diagrams and building CAD models. Then the team will begin the design process. Next year the work will be more hands-on, with the team testing the truck’s parts, including its engine.
Students are gaining experience with software, equipment such as battery packs and motors and the full-cycle design process. They’re also learning valuable project management, leadership and communication skills. The club emphasizes the importance of knowledge-sharing and collaboration through weekly meetings where sub-teams present their findings.
“Working together to solve technical issues makes the skills students learn about in class come alive, which is helpful for their academic development,” Reinhall says. “The students are learning the industry standard way of developing vehicles. They’re also learning about systems engineering, such as specifying what they want to build, designing the truck for a specific goal and ensuring different teams communicate.”
We’re learning a thorough way of approaching a large process that includes stakeholder analysis. It’s inspiring to learn from PACCAR engineers who visited us. ” — Chloe’ Marie Miller, Electrical Engineering student
E-Truck’s sub-teams include systems, electrical, controls, drivetrain, structures, public relations, human resources, information technology, administrative, sponsorships and safety.
Chloe’ Marie Miller, a fourth-year electrical engineering student and E-Truck’s public relations lead, joined the club to build on her experiences as a former EcoCAR member. Miller is also hoping to apply the skills she learns to a personal project: getting her pickup truck to start working.
“It’s my first exposure to industry, which is exciting,” Miller says. “We’re learning a thorough way of approaching a large process that includes stakeholder analysis. It’s inspiring to learn from PACCAR engineers who visited us. They have this wealth of knowledge that they’re willing to share and they want to see us succeed.”
It’s a win-win: through E-Truck, students receive industry-standard training, while PACCAR is able to collaborate with students.
“Many companies are looking for different perspectives and out-of-the-box solutions that students can provide,” Reinhall says.
Originally published April 29, 2024
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