Wednesday, October 3, 2012

Fabiola Osorio @ Bellas Artes Agenda Cultural FIX University newsRus.com


 

More FIX on the NET @ FIX University Cultural Campus

Welcome to Spring Semester 2013

Fernando IX University
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Fernando IX University

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Fernando IX University
El Instituto Departamental de Bellas Artes
Invita a La Expocision
"El Señor del Buen Consuelo"

de la Artista Plastica
Fabiola Osorio
Avenida Segunda Norte # 7- N 66

Exhibicion Abierta hasta el dia 5 de Octubre
10 am a 10 pm / 3pm a 6pm
 
CONTACTO DIRECTO CON LA ARTISTA COLOMBIANA FABIOLA OSORIO
Tel.: + 57 (2) 370 1958
Móvil: + 57 (311) 748 5862
Email: gerencia@fabiolaosorio.co

Links gubernamentales


Links de interes

Conéctese con nosotros



*Actualizacíon: 18-Septiembre-2012
Bellas Artes
 
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Tuesday, October 2, 2012

Scientific Computing @ FIX University Campus


 

labs.ebuzzing.esLibrary and Information Studies @ FIX University 630 × 881 - 99 k - jpg ...
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paginadeanamariagomes....Welcome FIX University; Inglesagil Looks at Webby Awards
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More FIX on the NET @ FIX University Cultural Campus

Announcements

Upcoming Homeworks

Upcoming Quizzes

New Lectures

  • Use of MATLAB for the course (2:41)
  • Week 1: 3.0 - Lecture 3 Overview (0:46)
  • Week 2: 4.0 - Lecture 4 Overview (1:21)
  • Week 2: 4.1 -Converting to first-order systems (7:44)
  • Week 2: 4.2 - Implementation of boundary conditions (5:18)
  • Week 2: 4.3 - Coding the boundary value problem (15:26)
  • Week 2: 4.4 - Code exploration for strategic searching (5:31)
  • Week 2: 4.5 - Multiple solutions and eigenvalues (8:58)
  • Week 2: 4.6 - Targeted searching for multiple solutions: eigenvalues and eigenfunctions (6:53)
  • Week 2: 5.0 - Lecture 5 Overview (1:04)
  • Week 2: 5.1 - Computing derivatives with Taylor series (12:34)
  • Week 2: 5.2 - Second derivatives and forward- and backward differences (11:25)
  • Week 2: 5.3 - Boundary value problems and Ax=b (9:38)
  • Week 2: 5.4 - Boundary implementation (3:43)
  • Week 2: 5.5 - Nonlinear boundary value problems (8:51)
  • Week 2: 6.0 - Lecture 6 Overview (1:16)
  • Week 2: 6.1 - Setting up boundary value problems in MATLAB (7:02)
  • Week 2: 6.2 - Implementing bvp4c in MATLAB (21:32)
  • Week 2: 6.3 - Nonlinear boundary value problems (5:29)
  • Week 2: 6.4 - Solving nonlinear problems with bvp4c (15:50)

Video Lecture Downloads

Thank you for enrolling in this free course. The University of Washington is committed to working with some of the world's leading instructors to provide high quality, free education, globally.
We have removed the ability to download course video from Coursera for a number of reasons:

  1. Our video contains functionality which only works within the Coursera environment. Downloading it to another platform, such as YouTube, prevents this from working as designed.

  2. Our ability to bring you a free course means that we must protect its content so that it is viewed as intended, as a component of an instructionally coherent educational program in Coursera.

We apologize if this is an inconvenience for some students who would prefer more flexibility for viewing this free content. Along with the free course offering, we also provide the added opportunity for Coursera students to enroll in one of our leading Certificate programs.
We hope that you understand our need to maintain a quality standard and continue to enjoy the course.
The University of Washington
Fri 28 Sep 2012 9:37:00 AM PDT

Keep Learning about Scientific Computing

Thank you for enrolling in Scientific Computing. Given your interest in this area of study, you may want to learn more about the Certificate in Scientific Computing offered online through the University of Washington.

By enrolling in the UW certificate program, you gain access to the enhanced version of each of the courses, which includes interaction with an instructor, additional assignments, readings, and multimedia material. Plus, you earn a valuable UW credential.

The deadline to apply for this program is 5 p.m. Pacific Daylight Time on October 8, 2012. Details on how to apply are available online. Feel free to contact a UW enrollment adviser by e-mail at info@pce.uw.edu or by phone at 888-469-6499, if you have additional questions.

If you’re unable to commit to the full program at this time but would like to consider enrolling in the future, sign up for e-mail notifications on the UW Certificate in Scientific Computing website.

Once again, thank you for joining us in this course!
Mon 24 Sep 2012 12:00:00 PM PDT

Welcome to the Scientific Computing course!

Thank you for joining Scientific Computing! Please take a few moments to read through the course welcome page and watch the welcome video. There is a lot of useful information there about the course.

For now, you should plan to allocate between 10 and 15 hours per week on the Scientific Computing course. There will be roughly 2 hours of lectures per week, as well as weekly homework assignments. The homework assignments will consist of computation exercises and assignments using information contained in both the lecture as well as the course lecture notes packet. You will need to download the course lecture notes packet to be able to complete some of the quiz questions as well as a reference for the course. This may be downloaded in the course resources or at the following link. Course Lecture Notes Packet

A text book is not necessary as the course is self-contained and the course notes are provided. To be successful in the course, a strong background in linear algebra is required. Familiarity with methods of ordinary differential equations and basic programming structure is also required. With this background, you should be able to develop the formulas necessary for the homework in the course.


Given the computational nature of the course, access to MATLAB (www.mathworks.com) or Octave (www.gnu.org/software/octave) is essential. MATLAB provides student editions for $99 that can be downloaded via the web. Octave is a free (or by donation) alternative to MATLAB that can also be downloaded and installed via the web. Either software should suffice for all the needs of the course, but MATLAB is the strongly recommended alternative.

My goal is that by the end of the course you will be able to investigate the flexibility and power of project-oriented computational analysis.. It has been a lot of work and a lot of fun getting this course ready for you. I sincerely hope you enjoy it!


Nathan Kutz
Mon 24 Sep 2012 12:00:00 AM PDT
Fernando IX University 

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engineering.dartmouth.eduIntroduction to Scientific Computing. Spring 2012
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cse.uiuc.eduScientific Computing: An Introductory Survey
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