printer friendly pageME 115A: Introduction to Human Values in Design
An intensive project-based class that introduces the central philosophy of the product design program. Students learn how to use the lens of human needs to innovate at the intersection of technical factors (feasibility), business factors (viability), and human values (desirability). Students work toward mastery of the human-centered design methodology through several real-world, team-based projects. Students gain fluency in designing solutions ranging from physical products, to digital interfaces, to services and experiences. Students are immersed in building their individual and team capacities around core design process and methods, and emerge with a strong foundation in needfinding, synthesis, ideation, rapid prototyping, user testing, iteration, and storytelling.
Terms: Aut
| Units: 3
Instructors:
Harte, S. (PI)
;
Kelley, D. (PI)
;
Schmutte, K. (PI)
...
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ME 123: Computational Engineering
The design of wind turbines, biomedical devices, jet engines, electronic units, and almost every other engineering system, require the analysis of its flow and thermal characteristics to ensure optimal performance and safety. The continuing growth ofcomputer power and the emergence of general-purpose engineering software has fostered the use of computational analysis as a complement to experimental testing. Virtual prototyping is a staple of modern engineering practice. This course is an introduction to Computational Engineering using commercial analysis codes, covering both theory and applications. Assuming limited knowledge of computational methods, the course starts with introductory training on the software, using a nseries of lectures and hands-on tutorials. We utilize the ANSYS software suite, which is used across a variety of engineering fields. Herein, the emphasis is on geometry modeling, mesh generation, solution strategy and post-processing for diverse applications. Using classical flow/thermal problems, the course develops the essential concepts of Verification and Validation for engineering simulations, nproviding the basis for assessing the accuracy of the results. Advanced concepts such as the use of turbulence models, user programming and automation for design are also introduced. The course is concluded by a project, in which the students apply the software to solve a industry-inspired problem.
Terms: Spr
| Units: 4
Instructors:
Iaccarino, G. (PI)
;
Benjamin, M. (TA)
ME 133: Intermediate Fluid Mechanics
This course expands on the introduction to fluid mechanics provided by
ME70. Topics include the conservation equations and finite volume approaches to flow quantification; engineering applications of the Navier-Stokes equations for viscous fluid flows; flow instability and transition to turbulence, and basic concepts in turbulent flows, including Reynolds averaging; boundary layers, including the governing equations, the integral method, thermal transport, and boundary layer separation; fundamentals of computational fluid dynamics (CFD); basic ideas of one-dimensional compressible flows.
Terms: Spr
| Units: 3
ME 151: Introduction to Computational Mechanics
In modern engineering design of structural systems, computer analysis is often used at every stage, from initial prototyping through final design. This course will introduce students to computational modeling and prototyping applied to solids and structures. The course reviews the basic theory of linear solid mechanics, introduces the finite element method for numerical modeling of mechanics-based problems, and provides practical experience in computer modeling using a commercial finite element code.
Terms: Win
| Units: 3
| Repeatable
2 times
(up to 6 units total)
Instructors:
Pinsky, P. (PI)
;
Favero Neto, A. (TA)
ME 171E: Aerial Robot Design (AA 248E, ME 271E)
(Graduate students only enroll in
ME 271e or
AA 248e) A result-focused introduction to the design of winged aerial robots capable of vertical takeoff and landing for a wide range of applications. Students will learn how to ideate specific aerial robot applications and make an appropriate design from scratch that meets mission requirements. Design skill outcomes include: robot need identification based on mission requirements; system ideation and sizing; making design performance tradeoffs; aerodynamic wing design; CAD assembly; communicating the design and its application. The hands-on lab experience includes prototyping the aerial robot mission, to inform system design, by building and flying quadcopters. Prerequisites: intro level undergraduate fluid mechanics or aerodynamics (e.g.
ME 70 or
AA 100) or equivalent; Intro level undergraduate electronics or Arduino experience; MATLAB experience.
Terms: Aut
| Units: 4
Instructors:
Lentink, D. (PI)
;
Chang, E. (TA)
ME 210: Introduction to Mechatronics (EE 118)
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.
Terms: Win
| Units: 4
Instructors:
Gumerlock, K. (PI)
;
Kenny, T. (PI)
;
Bian, A. (TA)
;
Gomez, G. (TA)
;
Heywood, D. (TA)
;
Li, A. (TA)
;
Peltzer, O. (TA)
;
Suresh, I. (TA)
ME 215C: Analytical Product Design (APD)
Analytical design experience for consumer product. Integration of models of engineering function, manufacturing costs, and market conditions. Introduction to modeling micro economics, market models, and consumer surveying as applied in product design. Introduction to consumer product cost modeling. Draw from other coursework to build engineering function model. Student teams build and link these models in an optimization framework to maximize profitability. Build prototypes for engineering function and form expression.
Terms: Spr
| Units: 4
ME 216M: Introduction to the Design of Smart Products (CS 377N)
This course will focus on the technical mechatronic skills as well as the human factors and interaction design considerations required for the design of smart products and devices. Students will learn techniques for rapid prototyping of smart devices, best practices for physical interaction design, fundamentals of affordances and signifiers, and interaction across networked devices. Students will be introduced to design guidelines for integrating electrical components such as PCBs into mechanical assemblies and consider the physical form of devices, not just as enclosures but also as a central component of the smart product. Prerequisites include: CS106A and E40 highly recommended, or instructor approval.
Terms: Spr
| Units: 3-4
Instructors:
Follmer, S. (PI)
;
Gonzalez, E. (TA)
ME 220: Introduction to Sensors
Sensors are widely used in scientific research and as an integral part of commercial products and automated systems. The basic principles for sensing displacement, force, pressure, acceleration, temperature, optical radiation, nuclear radiation, and other physical parameters. Performance, cost, and operating requirements of available sensors. Elementary electronic circuits which are typically used with sensors. Lecture demonstration of a representative sensor from each category elucidates operating principles and typical performance. Lab experiments with off-the-shelf devices. Recommended Pre-requisites or equivalent knowledge:
Physics 43 electromagnetism,
Physics 41 mechanics,
Math 53 Taylor series approximation, 2nd order Ordinary Diff Eqns,
ENGR40A/Engr40 or
ME210, i.e. some exposure to building basic circuits
Terms: Spr
| Units: 3-4
ME 234: Introduction to Neuromechanics
Understanding the role of mechanics in brain development, physiology, and pathology. Mechanics of brain cells: neurons, mechanobiology, mechanotransduction. Mechanics of brain tissue: experimental testing, constitutive modeling, computational modeling. Mechanics of brain development: gyrification, cortical folding, axon elongation, lissencephaly, polymicrogyria. Mechanics of traumatic brain injury: high impact loading, neural injury. Mechanics of brain tumors, brain cancer, tumor growth, altered cytoskeletal mechanics. Mechanics of neurological disorders: autism, dementia, schizophrenia. Mechanics of brain surgery.
Terms: Aut
| Units: 3
Instructors:
Kuhl, E. (PI)
;
Schaefer, A. (TA)
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