Monday 24th	Tuesday 25th	Wednesday 26th	Thursday 27th	Friday 28th
9:15-9:30	Opening CIMNE Winter School by the Organizing Committee				Closing CIMNE Winter School by the Organizing Committee
9:30-11:00	Numerical Lineal Algebra (Theory) Alba Muixí	FEM Basics (Theory) Ignasi de Pouplana	High Performance Computing (Theory) Ricardo Rossi	Optimization ( Theory) Gabriel Bugeda & Jordi Pons-Prats	Machine Learning (Theory) Marino Arroyo & Irene Arías & Fernando Salazar
11:30-13:30	Numerical Lineal Algebra (Practice) Alba Muixí	FEM Basics  (Practice) Ignasi de Pouplana	High Performance Computing (Practice) Ricardo Rossi	Optimization (Practice) Gabriel Bugeda & Jordi Pons-Prats	Machine Learning (Practice) Fernando Salazar
14:30-16:00	Programming: Good Practice Rules (Practice) Sergio Zlotnik & Guillem Barroso	Continnum Mechanics Oriol LLoberas (this session will be from 14:30 to 16:30	Bibliography Ruth Iñigo	Oral Communication	Written Communication Narges Dialami

Download the CWS2022 Program

Speakers and brief description of the class contents: 

NUMERICAL LINEAL ALGEBRA

Speaker: Alba Muixi

Class material

Description: The course reviews methods for solving linear systems of equations, from direct methods based on matrix factorization to iterative approaches. It also discusses the solution of overdetermined (and also underdetermined) systems via least-squares criteria, associated with the pseudo-inverse of the matrix and its singular value decomposition. Special attention is paid to difficulties induced by ill-conditioning and the particular strategies to deal with sparse matrices and the matrix-storage schemes standard in computational engineering.

FEM BASICS

Speaker: Ignasi de Pouplana

Class material

Description: This course aims at giving a brief overview on the Finite Element Method. The first part reviews the theoretical aspects of the method applied on a 2D solid mechanics static problem, and the second part is devoted to show the different steps in the solution of a particular test case.

 

HIGH PERFORMANCE COMPUTING

Speaker: Riccardo Rossi

Class material

Description: The goal of this brief course is to provide a general overview about the methods and programming environment which allow exploiting the use of supercomputers or even simply the internal parallelism of CPUs. 

The course will provide a hint of loop-level parallelization models, of task-based models which allow addressing complex concurrency problems, and of the MPI paradigm. A hint of other parallelization models will also be provided. 

 

OPTIMIZATION

Speaker: Gabriel Bugeda  &  Jordi Pons-Prats

Class material

Description: The Optimization module is aimed to provide an overall description about numerical optimization techniques, from classical gradient-based methods to population-based methods. The coruse will present each optimization heurístic while describing the pros and cons of its application. As a second part of the course, a hand-on session will develop practical examples to understand the issues when using such methods.

 

MACHINE LEARNING

Speaker: Marino Arroyo & Irene Arias & Fernando Salazar

Class material

Description: Machine Learning (ML) is emerging as a powerful quantitative tool in data science and data engineering. It has proven its enormous usefulness across fields and disciplines - for instance during the current covid-19 pandemic - in extracting knowledge from big data and guiding decision making. In this session, we will discuss the basic mathematical concepts of ML from a practical engineering viewpoint and we will focus on several ML applications in data-driven modelling and engineering. 

CONTINUUM MECHANICS

Speaker: Oriol Lloberas

Class material

Description: Continuum mechanics is an essential discipline for the understanding of motion, deformation and constitutive behaviour of any continuous medium. It transversally impacts many engineering fields such as solid and fluid mechanics. Within this course the basic knowledge on the description of motion and deformation are outlined together with the concept of stress. Balance principles valid for any continuous media will be enunciated and some basic notions on elastic solids and Newtonian fluids will be addressed.

PROGRAMMING: GOOD PRACTICE RULES

Speaker: Guillem Barroso & Sergio Zlotnik

Class materials

Description: Best practices to reduce (at least a bit) the burden of programming: testing, version control, coding style, pair programming... these might smooth out your excursion into computer programs.

BIBLIOGRAPHY SEARCH:

Speaker: Ruth Iñigo

Class materials

Description: During this session we will discuss how to structure your information search strategy and find relevant references for your research plan and your theses. We will also see and how to access and search Web of Science and Scopus databases, and some other information resources.

WRITTEN COMMUNICATION

Speaker: Narges Dialami

Class materials

Description: This course develops students’ abilities to communicate science effectively in the real world starting with the key elements of clear and persuasive speaking, writing and exhibiting. The objective of the module is to help the students identify the important aspects of the preparation of scientific works, while improving their oral and written communication skills.

In this first session the course will focus on written skills.

ORAL COMMUNICATION

Speaker: Narges Dialami

Class materials

Description: This course develops students’ abilities to communicate science effectively in the real world starting with the key elements of clear and persuasive speaking, writing and exhibiting. The objective of the module is to help the students identify the important aspects of the preparation of scientific works, while improving their oral and written communication skills.

In this first session the course will focus on oral communication skills.