21 - 30 of 203 results for: EE

Interested in learning engineering by building a device that tackles real-world challenges? In this immersive, hands-on design lab, you'll learn how to turn real community needs into working devices that make a difference. Partnering with local organizations supporting unhoused individuals in the Bay Area, students will design and build technologies that promote safety, security, and connection - from motion sensors and alert systems to low-cost monitoring devices. Through this class, you'll gain hands-on experience with electronics and prototyping, including: Using sensors such as motion detectors, cameras, temperature sensors, etc. to detect and measure real-world signals. Programming microcontrollers (Arduino) using C for control and automation. Incorporating motors, servos, and mechanical systems into your designs. Applying the engineering design process from concept to prototypeYou'll work in teams, receive feedback from community partners, and iterate to refine your ideas. By the end of the quarter, you'll present a working prototype that demonstrates both your technical learning and its impact on real people's lives. This course gives students a chance to see how engineering can make a tangible difference in the world - right here in the Bay Area! No prior engineering experience is required; students from all majors are welcome. (This course was previously offered as "Engineering Solutions for Community Challenges")

Analysis and simulation of elementary transistor stages, current mirrors, supply- and temperature-independent bias, and reference circuits. Overview of integrated circuit technologies, circuit components, component variations and practical design paradigms. Differential circuits, frequency response, and feedback will also be covered. Performance evaluation using computer-aided design tools. Undergraduates must take EE 114 for 4 units. GER:DB-EngrAppSci

This is the one-unit lab section for GEOPHYS 115. Schedule for the lab will be determined by the instructor on first day of GEOPHYS 115.

The underpinnings of modern technology are the transistor (circuits), the capacitor (memory), and the solar cell (energy). EE 116 introduces the physics of their operation, their historical origins (including Nobel prize breakthroughs), and how they can be optimized for future applications. The class covers physical principles of semiconductors, including silicon and new material discoveries, quantum effects, band theory, operating principles, and device equations.

This course provides an introduction to the sensor systems found in modern-day smartphones, wearables, and hearable devices. As much as we take their functionality for granted, there is a tremendous amount of engineering needed to sense "real world" signals such as acceleration, touch, or altitude. There will be an overview on the actual circuitry and hardware used in sensor implementations, with a focus on MEMS devices (eg, accelerometer/gyro), going up through the algorithms commonly seen in sensors processing, and finally fusion of data from multiple sensors to yield final data presented to a user. The four broad areas that will be covered are: Inertial sensing/movement; Touch sensing/authentication; Health sensing (PPG, ECG, SpO2); Next-generation (force, radar/ranging, ultrasonics, and more). There is a lab/project associated with each of these areas, each project spanning roughly two weeks. The projects are designed to be more at a system level; the student will be required to explore the performance and limitations of sensing hardware, and then take that understanding to solve real-world sensor problems. All projects will be built on a Raspberry Pi with various sensor boards; students should be comfortable with wiring up a small breadboard, and coding on an RPi a high-level language such as Python or Java.

Technologies involved in mechatronics (intelligent electro-mechanical systems), and techniques to apply this technology to mecatronic system design. Topics include: electronics (A/D, D/A converters, op-amps, filters, power devices); software program design, event-driven programming; hardware and DC stepper motors, solenoids, and robust sensing. Large, open-ended team project. Prerequisites: ENGR 40, CS 106, or equivalents.

Formally EE 292Q. Introduction to operation principles and key performance aspects of 3D+ imaging sensors used widely in industry. Concepts include imaging physics, data acquisition and image formation methods, and signal and image quality metrics that are broadly applicable across sensor types. Practical examples and demonstrations of various sensors such as radar, acoustic, LIDAR, and ToF modules will be presented in class as well as through structured labs. Invited speakers will highlight emerging 3D+ imaging applications that these sensors are enabling today.

This course is aimed at upper-level undergraduates and graduate students interested in designing, developing and understanding biologically interfaced electronic systems focused on biosensing and drug delivery. We will explore theoretical foundations and technological advancements that underpin several established and emergent medical technologies such as brain machine interfaces, biohybrid electronic systems, continuous glucose monitors, cardiac pacemakers, visual prostheses, DNA sequencing and wearables.

Fundamental properties of electrical activity in neurons, technology for measuring and altering neural activity, and operating principles of modern neurological and neural prosthetic medical systems. Topics: action potential generation and propagation, neuro-MEMS and measurement systems, experimental design and statistical data analysis, information encoding and decoding, clinical diagnostic systems, and fully-implantable neural prosthetic systems design. Prerequisite: EE 101A and EE 102A.