Computers are becoming ubiquitous allowing us

- to make numeric calculations fast, correctly and with the required numerical precision.

- to execute real-time control of complex systems.

- to perform ubiquitous communication and collaboration.



This subject aims to show the possibilities of Computer Science and offer a tool to allow learners to apply them on the Renewable Energy field.

Knowledge:

-RCO1: The graduate will be able to identify concepts and techniques of basic and specific subjects, which allow the learning of new methods, theories and modern engineering tools, providing sufficient versatility so that you are able to adapt to new situations in the exercise of your profession.

-RCO11: The graduate will be able to describe basic concepts about hardware, software, operating systems, programming and computer programs with application in engineering.



Skills or abilities:

-HE1: The graduate will be able to solve problems with initiative, decision making, creativity and reasoning critical.

-HE5: The graduate will be able to work effectively as a team in a constructive manner, integrating skills and knowledge to make decisions.

-HE6: The graduate will be able to acquire new knowledge and skills to carry out training continuous, as well as to undertake subsequent studies, with a high degree of autonomy.

Topic 1: Programming Methodology

1 Problem resolution

2 Efficiency: optimization

3 Efficacy: precision, accuracy and error

4 Problem modeling and specification



Topic 2: Programming with Matlab

1. MATLAB and the M programming language

2. Imperative programming: data and processing

3. Structured programming

4. Modular programming

5. 2D and 3D graphics

During the semester, learners are required to perform some individual pieces of work, group works and a final exam. Mark percentages may vary depending on learners' individual and group performance. Learner's should be autonomous and show their own initiatives (HE6). In this vein, learner's are required to maintain an e-porfolio.

• Continuous Assessment System
• Final Assessment System
• Tools and qualification percentages:
  • Written test to be taken (%): 50
  • Portfolio (%): 50

Learners not performing required works could do a final test. The mark on the test would be the 100% of the final mark. Learners must ask the teacher in order to opt to this evaluation way.



Final test will be in person. However, specific circumstances can advocate for an online final test.



Only attending to the test implies counting a test call.

Learners not performing required works could do a final test. The mark on the test would be the 100% of the final mark. Learners must ask the teacher in order to opt to this evaluation way.



Final test will be in person. However, specific circumstances can advocate for an online final test.



Only attending to the test implies counting a test call.

-Course notes
-a Matlab course in the School website:
http://www.sc.ehu.es/sbweb/energias-renovables/MATLAB/intro.html
-MATLAB's website: http://www.mathworks.com

Basic bibliography

-Oinarrizko programazioa. Azpeitia Lakuntza, Iker; Ibáñez Martínez-Conde, Jesús. 2020. https://webargitalpena.

adm.ehu.es/listaproductos.asp?IdProducts=UCPDF202536&titulo=Oinarrizko%20programazioa

-Agenda 2030 y Objetivos de Desarrollo Sostenible:

https://www.ehu.eus/es/web/ikasleen-biltzarra/2030-agenda-eta-garapen-iraunkorraren-helburuak

-Fundamentos de informática y programación para ingeniería : Ejercicios resueltos para C y Matlab. Modesto Castrillón Santana et. al. 2011

-MATLAB: a practical introduction to programming and problem solving. Stormy Attaway. 2012

In-depth bibliography

-Essential Matlab for Engineers and Scientists. Brian D. Hahn and Daniel T. Valentine. 2013
-MATLAB for engineering applications. William J Palm III. 2019
-Introduction to MATLAB & SIMULINK : a project approach. Beucher, Ottmar. Weeks, Michael. 2008.
-Simulation of dynamic systems with MATLAB and SIMULINK. Klee, Harold. 2007
-Applied Numerical Methods with Matlab for Engineers and Scientists. Steven C. Chapra. 2008
-Aprendizaje Basado en Competencias. Aurelio Villa y Manuel Poblete. 2007.

Web addresses

http://www.mooc-list.com