Anúncios
Final grades
3 março 2022, 19:27 • Ricardo de Figueiredo Vieira
Dear students, the final grades are published in the website of the subject here: link. These final results will be sent to the post-graduation office.
Oral evaluation
23 fevereiro 2022, 19:07 • Ricardo de Figueiredo Vieira
Dear students, the time schedule of the oral evaluation on the 24th of February was rearranged as follows:
9h00 98910 Seyed Rezvani (online)
9h30 104202 Vadimas Kitovas (online)
10h00 102227 Elena-Daniela Bendea (online)
10h30 101173 Ricardo Martins (online)
11h00 100782 Mariana Pinto (room 2.42)
11h30 93843 Francisco Pascoal (room 2.42)
12h00 65204 João Serra (room 2.42)
The link for the online evaluation is https://videoconf-colibri.zoom.us/my/rf.vieira. In the oral evaluation, students might be asked to present a written justification of their answers. In the online case, students should send the corresponding scan to the e-mail ricardo.figueiredo.vieira@tecnico.ulisboa.pt.
Ricardo Vieira
Oral evaluation
17 fevereiro 2022, 11:24 • Ricardo de Figueiredo Vieira
9h30 93843 Francisco Pascoal
10h 98910 Seyed Rezvani
10h30 100782 Mariana Pinto
11h 101173 Ricardo Martins
11h30 102227 Elena-Daniela Bendea
12h 104202 Vadimas Kitovas
Students who cannot attend face to face and willing to the the oral through zoom should send me an e-mail.
Question session
25 janeiro 2022, 23:48 • Ricardo de Figueiredo Vieira
Dear students, as discussed I'm scheduling a Zoom session for tomorrow at 12h (noon). The link is the following: https://videoconf-colibri.zoom.us/my/rf.vieira
Ricardo Vieira
Assignments and work
5 janeiro 2022, 00:19 • Ricardo de Figueiredo Vieira
Dear students, PDF versions of the assignments 1 to 4 are available on section "Assignments". Let me recall you that the 4th assignment was partially solved in class. Hence, besides a report describing the methodology fundamentals and procedure for the problem solution, with the remarks considered relevant, your task in this assignment is to present a numerical solution for the mesh that was adopted in class.
A link to the final work is also given in this section. A Python library (PyFEM) is referred as a tool to be adopted. However, any other code suitable for solving the problem can be adapted. The report should present numerical examples to highlight the adopted nonlinear method, as well as a summary of the fundaments of the method. It is not mandatory, but a comparison of the solution with a commercial software can also be presented.
Deadline for the assignment is on the 28/1 and for the global work on the 4/2.