printer friendly pageENGR 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: Win, Sum
| Units: 4
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Cappelli, M. (PI)
ENGR 30: Engineering Thermodynamics
The basic principles of thermodynamics are introduced in this course. Concepts of energy and entropy from elementary considerations of the microscopic nature of matter are discussed. The principles are applied in thermodynamic analyses directed towards understanding the performances of engineering systems. Methods and problems cover socially responsible economic generation and utilization of energy in central power generation plants, solar systems, refrigeration devices, and automobile, jet and gas-turbine engines.
Terms: Aut, Win, Spr, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-SMA, WAY-AQR
ENGR 60: Engineering Economy
Fundamentals of economic analysis. Interest rates, net present value, and internal rate of return. Applications to personal and corporate financial decisions. Mortgage evaluation, insurance decision, hedging/risk reduction, project selection, capital budgeting, and investment valuation. Effects of taxes on personal and business decisions. Investment decisions under uncertainty and utility theory. Please see
http://www.stanford.edu/class/engr60. Prerequisites: precalculus and elementary probability.
Terms: Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Wang, C. (PI)
ENGR 70A: Programming Methodology (CS 106A)
Introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Uses the Java programming language. Emphasis is on good programming style and the built-in facilities of the Java language. No prior programming experience required. Summer quarter enrollment is limited and requires an application.
Terms: Aut, Win, Spr, Sum
| Units: 3-5
| UG Reqs: WAY-FR, GER:DB-EngrAppSci
ENGR 70B: Programming Abstractions (CS 106B)
Abstraction and its relation to programming. Software engineering principles of data abstraction and modularity. Object-oriented programming, fundamental data structures (such as stacks, queues, sets) and data-directed 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; application required.
Terms: Aut, Win, Spr, Sum
| Units: 3-5
| UG Reqs: WAY-FR, GER:DB-EngrAppSci
Instructors:
Lee, C. (PI)
;
Stepp, M. (PI)
ENGR 90: Environmental Science and Technology (CEE 70)
Introduction to environmental quality and the technical background necessary for understanding environmental issues, controlling environmental degradation, and preserving air and water quality. Material balance concepts for tracking substances in the environmental and engineering systems.
Terms: Aut, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
Instructors:
Kopperud, R. (PI)
ENGR 105: Feedback Control Design
Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. Root-locus and frequency response design techniques. Examples from a variety of fields. Some use of computer aided design with MATLAB. Prerequisite:
EE 102,
ME 161, or equivalent.
Terms: Win, Spr, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
ENGR 113D: SOLAR DECATHLON 2015 (ENGR 213D)
Open to all majors. Seminar / Lab format course facilitates the student-led administration, conception, development, and execution of the Solar Decathlon 2015 competition entry sponsored by the US Department of Energy. (http://www.solardecathlon.gov/) Students shall learn best practices in creating design teams to address multi-disciplinary design problems. Students shall work both as individuals and in teams across multiple Stanford SD2015 phases of project management, research, fundraising, design, engineering, contracting, construction administration, and competitive testing in Irvine CA.
Terms: Sum
| Units: 3
| Repeatable
4 times
(up to 12 units total)
ENGR 118: Cross-Cultural 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 cross-cultural, diverse team of students on their projects. Applications for Summer 2012 were due in March.
Terms: Sum
| Units: 3
ENGR 145: Technology Entrepreneurship
How do you create a successful start-up? What is entrepreneurial leadership in a large firm? What are the differences between an idea and true opportunity? How does an entrepreneur form a team and gather the resources necessary to create a great enterprise? This class mixes mentor-guided team projects, in-depth case studies, research on the entrepreneurial process, and the opportunity to network and ask questions of Silicon Valley's top entrepreneurs and venture capitalists. For undergraduates of all majors who seek to understand the formation and growth of high-impact start-ups in areas such as information, green/clean, medical and consumer technologies. No prerequisites. Limited enrollment.
Terms: Aut, Win, Sum
| Units: 4
| UG Reqs: GER:DB-SocSci
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