Stanford University: Engineering
Para inscribirse en unas Summer Sessions en Stanford University, debes seleccionar 2 cursos de Summer Sessions. A continuación puedes ver todos los cursos del área Engineering; contenido y horario.
1.- Ver en que sesión (fechas y duración) se imparte cada uno de los cursos de esta área.
2.- Cuando sepas los cursos que más te interesan comprueba el horario para que no se solapen entre ellos.
|Engineering||nº de créditos||duración en semanas|
|Feedback Control Design||3||8|
|Introduction to Probability and Statistics for Engineers||3/4||8|
|CURSO Y ALOJAMIENTO||DURACIÓN||FECHAS||PRECIO|
|Summer Session||8 semanas.||Jun 23 - Ago 19||Desde 11.390,00 €|
Descripción de los cursos:
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.
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.
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. Note: No prior programming experience required.
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.
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. Note: Attendance in first class required.
Introduction to Probability and Statistics for Engineers
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, non-parametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields.