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: Sum

Units: 4

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
Instructors:
Cappelli, M. (PI)
ENGR 40A: Introductory Electronics
Instruction will be completed in the first seven weeks of the quarter. Students not majoring in Electrical Engineering may choose to take only
ENGR 40A; Electrical Engineering majors should take both
ENGR 40A and
ENGR 40B. Overview of electronic circuits and applications. Electrical quantities and their measurement, including operation of the oscilloscope. Basic models of electronic components including resistors, capacitors, inductors, and operational amplifiers. Lab. Lab assignments. Enrollment limited to 300.
Terms: Win, Sum

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYAQR, WAYSMA

Grading: Letter (ABCD/NP)
Instructors:
Wong, S. (PI)
;
Akbar, H. (TA)
;
Anema, P. (TA)
;
Botbol Ponte, E. (TA)
;
Bui, C. (TA)
;
Casino, A. (TA)
;
Kunz, E. (TA)
;
Landy, N. (TA)
;
Lopes, G. (TA)
;
Loya, D. (TA)
;
Mendoza, D. (TA)
;
Shen, H. (TA)
;
de Mello Dal Bianco, B. (TA)
ENGR 40M: An Intro to Making: What is EE
Is a handson 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, Spr, Sum

Units: 35

UG Reqs: GER:DBEngrAppSci, WAYSMA

Grading: Letter or Credit/No Credit
Instructors:
Horowitz, M. (PI)
;
Howe, R. (PI)
;
Plummer, J. (PI)
...
more instructors for ENGR 40M »
Instructors:
Horowitz, M. (PI)
;
Howe, R. (PI)
;
Plummer, J. (PI)
;
Akbar, H. (TA)
;
Botbol Ponte, E. (TA)
;
Bui, C. (TA)
;
Casino, A. (TA)
;
Kananian, S. (TA)
;
Kunz, E. (TA)
;
Maldonado, S. (TA)
;
Mendoza, D. (TA)
;
Van, E. (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 nongovernmental 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 nonengineering 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

Grading: Letter (ABCD/NP)
Instructors:
Lepech, M. (PI)
ENGR 70A: Programming Methodology (CS 106A)
Introduction to the engineering of computer applications emphasizing modern software engineering principles: objectoriented design, decomposition, encapsulation, abstraction, and testing. Emphasis is on good programming style and the builtin facilities of respective languages. No prior programming experience required. Summer quarter enrollment is limited. Alternative versions of CS106A may be available which cover most of the same material but in different programming languages.
Terms: Aut, Win, Spr, Sum

Units: 35

UG Reqs: GER:DBEngrAppSci, WAYFR

Grading: Letter or Credit/No Credit
ENGR 70B: Programming Abstractions (CS 106B)
Abstraction and its relation to programming. Software engineering principles of data abstraction and modularity. Objectoriented programming, fundamental data structures (such as stacks, queues, sets) and datadirected design. Recursion and recursive data structures (linked lists, trees, graphs). Introduction to time and space complexity analysis. Uses the programming language C++ covering its basic facilities. Prerequisite: 106A or equivalent. Summer quarter enrollment is limited.
Terms: Aut, Win, Spr, Sum

Units: 35

UG Reqs: GER:DBEngrAppSci, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Conklin, T. (PI)
;
Schwarz, K. (PI)
;
Stepp, M. (PI)
...
more instructors for ENGR 70B »
Instructors:
Conklin, T. (PI)
;
Schwarz, K. (PI)
;
Stepp, M. (PI)
;
Chander, A. (TA)
;
Hung, C. (TA)
;
Rydberg, K. (TA)
;
Zhao, J. (TA)
ENGR 118: CrossCultural Design for Service
Students spend the summer in China working collaboratively to use design thinking for a project in the countryside. Students learn and apply the principles of design innovation including user research, ideation, prototyping, storytelling and more in a cross cultural setting to design a product or service that will benefit Chinese villagers. Students should be prepared to work independently in a developing region of China, to deal with persistent ambiguity, and to work with a crosscultural, diverse team of students on their projects. Applications for Summer 2012 were due in March.
Terms: Sum

Units: 3

Grading: Letter (ABCD/NP)
ENGR 145: Technology Entrepreneurship
How does the entrepreneurship process enable the creation and growth of highimpact enterprises? Why does entrepreneurial leadership matter even in a large organization or a nonprofit venture? What are the differences between just an idea and true opportunity? How do entrepreneurs form teams and gather the resources necessary to create a successful startup? Mentorguided projects focus on analyzing students' ideas, case studies allow for examining the nuances of innovation, research examines the entrepreneurial process, and expert guests allow for networking with Silicon Valley's worldclass entrepreneurs and venture capitalists. For undergraduates of all majors with interest in startups the leverage breakthrough information, energy, medical and consumer technologies. No prerequisites. Limited enrollment.
Terms: Aut, Win, Sum

Units: 4

UG Reqs: GER:DBSocSci

Grading: Letter (ABCD/NP)
Instructors:
Byers, T. (PI)
;
Eesley, C. (PI)
;
Hwang, R. (PI)
;
Bremner, R. (TA)
;
Volmar, E. (TA)
;
Whittle, T. (TA)
ENGR 155A: Ordinary Differential Equations for Engineers (CME 102)
Analytical and numerical methods for solving ordinary differential equations arising in engineering applications: Solution of initial and boundary value problems, series solutions, Laplace transforms, and nonlinear equations; numerical methods for solving ordinary differential equations, accuracy of numerical methods, linear stability theory, finite differences. Introduction to MATLAB programming as a basic tool kit for computations. Problems from various engineering fields.Prerequisites: knowledge of singlevariable calculus equivalent to the content of
Math 1921 (e.g., 5 on Calc BC, 4 on Calc BC with
Math 21, 5 on Calc AB with
Math21). Placement diagnostic (recommendation non binding) at:(
https://exploredegrees.stanford.edu/undergraduatedegreesandprograms/#aptext). Recommended:
CME100.
Terms: Aut, Win, Spr, Sum

Units: 5

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Cameron, M. (PI)
;
Le, H. (PI)
;
BougdalLambert, I. (TA)
...
more instructors for ENGR 155A »
Instructors:
Cameron, M. (PI)
;
Le, H. (PI)
;
BougdalLambert, I. (TA)
;
Chiu, D. (TA)
;
Goc, K. (TA)
;
Harris, S. (TA)
;
Romain, M. (TA)
;
Schleede, P. (TA)
ENGR 155C: Introduction to Probability and Statistics for Engineers (CME 106)
Probability: random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, nonparametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields. Prerequisite:
CME 100/ENGR154 or
MATH 51 or 52.
Terms: Win, Sum

Units: 4

UG Reqs: GER:DBMath, WAYAQR, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Khayms, V. (PI)
;
Earley, E. (TA)
;
Gong, E. (TA)
;
Mantravadi, S. (TA)
;
Trean, M. (TA)
;
Wang, A. (TA)
;
Zhang, V. (TA)
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