Advanced Computing

About

Advanced Computing is a discipline that approaches complex computational problems from both theoretical and practical angles. It views algorithms, i.e., the human or mechanical processes of transforming data, as subjects for systematic study. The goal is to understand their limitations and capabilities and to use these insights to provide novel and more efficient algorithmic solutions. 

Target

The specialization is addressed to students with a background in computer science, computer engineering or mathematics who can prove that they have a solid grounding in elementary algorithms, programming skills and basic knowledge of discrete mathematics. Students from other scientific and technological backgrounds are also welcome but they may be asked to take a bachelor-level course that guarantees that the requirements are covered. 

Specialization coordinator

Jordi Petit Silvestre

Technical Competences of each Specialization

ADVANCED COMPUTING

  • CEE3.1
    Capability to identify computational barriers and to analyze the complexity of computational problems in different areas of science and technology as well as to represent high complexity problems in mathematical structures which can be treated effectively with algorithmic schemes.
  • CEE3.2
    Capability to use a wide and varied spectrum of algorithmic resources to solve high difficulty algorithmic problems.
  • CEE3.3
    Capability to understand the computational requirements of problems from non-informatics disciplines and to make significant contributions in multidisciplinary teams that use computing.

Subjects

Specialization compulsory subjects

Specialization complementary subjects

Elective
Mandatory
Final Master Thesis

 

Mandatory Common course

 

Semester 1

Semester 2

Semester 3

Semester 4

Final Master Thesis
(TFM - 30 ECTS)

 

Elective

You can choose any MIRI or UPC Masters courses.