## ENGR 10: Introduction to Engineering Analysis

Integrated approach to the fundamental scientific principles that are the cornerstones of engineering analysis: conservation of mass, atomic species, charge, momentum, angular momentum, energy, production of entropy expressed in the form of balance equations on carefully defined systems, and incorporating simple physical models. Emphasis is on setting up analysis problems arising in engineering. Topics: simple analytical solutions, numerical solutions of linear algebraic equations, and laboratory experiences. Provides the foundation and tools for subsequent engineering courses. Prerequisite: AP Physics and AP Calculus or equivalent.

Terms: Spr, Sum
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-FR, WAY-AQR

Instructors:
Cappelli, M. (PI)

## ENGR 14: Intro to Solid Mechanics

Introduction to engineering analysis using the principles of engineering solid mechanics. Builds on the math and physical reasoning concepts in
Physics 41 to develop skills in evaluation of engineered systems across a variety of fields. Foundational ideas for more advanced solid mechanics courses such as ME80 or
CEE101A. Interactive lecture sessions focused on mathematical application of key concepts, with weekly complementary lab session on testing and designing systems that embody these concepts. Limited enrollment, subject to instructor approval. Pre-requisite:
Physics 41. When signing up for this course make sure to sign up both for the lecture and for a Discussion Section.

Terms: Aut, Win, Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR

Instructors:
Gu, W. (PI)
;
Noh, H. (PI)
;
Sheppard, S. (PI)
;
Malik, R. (TA)
;
Marable, M. (TA)
;
Miller, A. (TA)
;
Uribe, G. (TA)
;
Wong, K. (TA)

## ENGR 21: Engineering of Systems

A high-level look at techniques for analyzing and designing complex, multidisciplinary engineering systems, such as aircraft, spacecraft, automobiles, power plants, cellphones, robots, biomedical devices, and many others. The need for multi-level design, modeling and simulation approaches, computation-based design, and hardware and software-in-the-loop simulations will be demonstrated through a variety of examples and case studies. Several aspects of system engineering will be applied to the design of large-scale interacting systems and contrasted with subsystems such as hydraulic systems, electrical systems, and brake systems. The use of design-thinking, story-boarding, mockups, sensitivity analysis, simulation, team-based design, and the development of presentation skills will be fostered through several realistic examples in several fields of engineering.

Terms: Spr
| Units: 3

Instructors:
Mahboubi, Z. (PI)

## ENGR 40M: An Intro to Making: What is EE

Is a hands-on class where students learn to make stuff. Through the process of building, you are introduced to the basic areas of EE. Students build a "useless box" and learn about circuits, feedback, and programming hardware, a light display for your desk and bike and learn about coding, transforms, and LEDs, a solar charger and an EKG machine and learn about power, noise, feedback, more circuits, and safety. And you get to keep the toys you build. Prerequisite:
CS 106A.

Terms: Aut, Win, Spr, Sum
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-SMA

Instructors:
Kozyrakis, C. (PI)
;
Lee, T. (PI)
;
Rivas-Davila, J. (PI)
...
more instructors for ENGR 40M »

Instructors:
Kozyrakis, C. (PI)
;
Lee, T. (PI)
;
Rivas-Davila, J. (PI)
;
Van, E. (PI)
;
ADEGBENRO, F. (TA)
;
Ayantayo, H. (TA)
;
Calloway, C. (TA)
;
Deutsch, J. (TA)
;
Johnston, R. (TA)
;
Lakdawala, S. (TA)
;
Pyarali, M. (TA)
;
Somerville Roberts, J. (TA)

## ENGR 42: Introduction to Electromagnetics and Its Applications (EE 42)

Electricity and magnetism and its essential role in modern electrical engineering devices and systems, such as sensors, displays, DVD players, and optical communication systems. The topics that will be covered include electrostatics, magnetostatics, Maxwell's equations, one-dimensional wave equation, electromagnetic waves, transmission lines, and one-dimensional resonators. Pre-requisites: none.

Terms: Spr, Sum
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA

## ENGR 50: Introduction to Materials Science, Nanotechnology Emphasis

The structure, bonding, and atomic arrangements in materials leading to their properties and applications. Topics include electronic and mechanical behavior, emphasizing nanotechnology, solid state devices, and advanced structural and composite materials.

Terms: Spr
| Units: 4
| UG Reqs: WAY-SMA, GER:DB-EngrAppSci, WAY-AQR

Instructors:
Sinclair, R. (PI)
;
Ravello, M. (TA)

## ENGR 60: Engineering Economics and Sustainability (CEE 146S)

Engineering Economics is a subset of the field of economics that draws upon the logic of economics, but adds that analytical power of mathematics and statistics. The concepts developed in this course are broadly applicable to many professional and personal decisions, including making purchasing decisions, deciding between project alternatives, evaluating different processes, and balancing environmental and social costs against economic costs. The concepts taught in this course will be increasingly valuable as students climb the carrier ladder in private industry, a non-governmental organization, a public agency, or in founding their own startup. Eventually, the ability to make informed decisions that are based in fundamental analysis of alternatives is a part of every career. As such, this course is recommended for engineering and non-engineering students alike. This course is taught exclusively online in every quarter it is offered. (Prerequisites:
MATH 19 or 20 or approved equivalent.)

Terms: Aut, Spr, Sum
| Units: 3

## ENGR 62X: Introduction to Optimization (Accelerated) (MS&E 111X, MS&E 211X)

Optimization theory and modeling. The role of prices, duality, optimality conditions, and algorithms in finding and recognizing solutions. Perspectives: problem formulation, analytical theory, computational methods, and recent applications in engineering, finance, and economics. Theories: finite dimensional derivatives, convexity, optimality, duality, and sensitivity. Methods: simplex and interior-point, gradient, Newton, and barrier. Prerequisite:
CME 100 or
MATH 51 or equivalent.

Terms: Spr
| Units: 3-4
| UG Reqs: WAY-AQR

## ENGR 65: Modern Physics for Engineers (EE 65)

This course introduces the core ideas of modern physics that enable applications ranging from solar energy and efficient lighting to the modern electronic and optical devices and nanotechnologies that sense, process, store, communicate and display all our information. Though the ideas have broad impact, the course is widely accessible to engineering and science students with only basic linear algebra and calculus through simple ordinary differential equations as mathematics background. Topics include the quantum mechanics of electrons and photons (Schrödinger's equation, atoms, electrons, energy levels and energy bands; absorption and emission of photons; quantum confinement in nanostructures), the statistical mechanics of particles (entropy, the Boltzmann factor, thermal distributions), the thermodynamics of light (thermal radiation, limits to light concentration, spontaneous and stimulated emission), and the physics of information (Maxwell's demon, reversibility, entropy and noise in physics and information theory). Pre-requisite:
Physics 41. Pre- or co-requisite:
Math 53 or
CME 102.

Terms: Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, GER: DB-NatSci, WAY-SMA

Instructors:
Congreve, D. (PI)

## ENGR 76: Information Science and Engineering

What is information? How can we measure and efficiently represent it? How can we reliably communicate and store it over media prone to noise and errors? How can we make sound decisions based on partial and noisy information? This course introduces the basic notions required to address these questions, as well as the principles and techniques underlying the design of modern information, communication, and decision-making systems with relations to and applications in machine-learning, through genomics, to neuroscience. Students will get a hands-on appreciation of the concepts via projects in small groups, where they will develop their own systems for streaming of multi-media data under human-centric performance criteria. Prerequisite:
CS 106A.

Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-FR

Instructors:
Ozgur, A. (PI)

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