overview mandatory courses - ulisboa · velop computational systems for the solution of engineering...

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Overview The PhD programme in Computational Engi- neering is a joint initiative of the University of Texas at Austin and the Instituto Superior Técnico (IST) in Lisbon. This programme pro- vides a new approach to the postgraduate studies in multidisciplinary engineering and computational sciences. Objectives The aim of this Doctoral programme is to de- velop computational systems for the solution of Engineering and Science problems. These systems involve the mathematical analysis of physical, chemical or biological process mod- els, their computational implementation, and the analysis of the numerical results. PhD in COMPUTATIONAL ENGINEERING a joint initiative of UT Austin/IST MANDATORY COURSES Applied Functional Analysis Parallel and Distributed Computing Computational Methods Optimization, Calculus of Variations and Optimal Control Numerical Analysis of Partial Dierential Equations Image Processing and Computational Geometry OPTIONAL COURSES Computational Fluid Dynamics Computational Solid Mechanics Computational Methods in Electromagnetics Computational Simulation of Reactive Flows Analysis and Control of Biomechanical Systems Biomechanics of Blood Flow Computational Dynamics Adaptive Structures Computational Physics and Plasma Simulation Mathematical Models in Hemodynamics Inverse Problems for Dierential Equations and Medical Imaging Advanced Topics on Computational Fluid Mechanics

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Page 1: Overview MANDATORY COURSES - ULisboa · velop computational systems for the solution of Engineering and Science problems. These systems involve the mathematical analysis of physical,

Overview The PhD programme in Computational Engi-

neering is a joint initiative of the University of

Texas at Austin and the Instituto Superior

Técnico (IST) in Lisbon. This programme pro-

vides a new approach to the postgraduate

studies in multidisciplinary engineering and

computational sciences.

ObjectivesThe aim of this Doctoral programme is to de-

velop computational systems for the solution

of Engineering and Science problems. These

systems involve the mathematical analysis of

physical, chemical or biological process mod-

els, their computational implementation, and

the analysis of the numerical results.

PhD in COMPUTATIONAL

ENGINEERING

a joint initiative of UT Austin/IST

MANDATORY COURSESApplied Functional Analysis

Parallel and Distributed Computing

Computational Methods

Optimization, Calculus of Variations and Optimal Control

Numerical Analysis of Partial Differential Equations

Image Processing and Computational Geometry

OPTIONAL COURSESComputational Fluid Dynamics

Computational Solid Mechanics

Computational Methods in Electromagnetics

Computational Simulation of Reactive Flows

Analysis and Control of Biomechanical Systems

Biomechanics of Blood Flow

Computational Dynamics

Adaptive Structures

Computational Physics and Plasma Simulation

Mathematical Models in Hemodynamics

Inverse Problems for Differential Equations and Medical Imaging

Advanced Topics on Computational Fluid Mechanics

Page 2: Overview MANDATORY COURSES - ULisboa · velop computational systems for the solution of Engineering and Science problems. These systems involve the mathematical analysis of physical,

PhD in COMPUTATIONAL ENGINEERING a joint initiative of UT Austin/IST

EmploymentHolders of a PhD degree in Computational Engi-neering will be able to work in Companies, R&D Institutions and Universities.

Lectures/Research The lectures will be presented in two semesters and include 6 mandatory and 4 optional courses. All lectures will be in English.

The research, including the preparation of a thesis, will last 6 semesters and will be carried out at the IST and the University of Texas at Austin.

Useful links:PhD programme: https://fenix.ist.utl.pt/cursos/deaengcmpColab: http://www.utaustinportugal.org/Scholarships for this PhD programme: http://alfa.fct.mctes.pt/apoios/bolsas/concursos/utaustin

Designed for This multidisciplinary PhD programme is in-

tended for students wishing to develop their

knowledge in the field of computational engi-

neering with applications in solids, structures,

fluids, aerospace, biomedical, physics and ap-

plied mathematics. The candidate should have

a MSc degree or equivalent in the areas of En-

gineering, Mathematics or Applied Sciences.