Identifying Data 2019/20
Subject (*) Projects Workshop Code 614973109
Study programme
Mestrado Universitario en Computación de Altas Prestacións / High Performance Computing (Mod. Virtual)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
 First Obligatory 3
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Departamento profesorado máster
Enxeñaría de Computadores
Coordinador
Gonzalez Gomez, Patricia
 E-mail
patricia.gonzalez@udc.es
Lecturers
Fernández Rivera, Francisco
García Loureiro, Antonio Jesús
Gonzalez Gomez, Patricia
López Taboada, Guillermo
Sanjurjo Amado, Jose Rodrigo
 E-mail
patricia.gonzalez@udc.es
guillermo.lopez.taboada@udc.es
jose.sanjurjo@udc.es
Web http://aula.cesga.es
General description O obxectivo desta materia é proporcionar ao alumno as bases fundamentais para levar a cabo con éxito un proxecto de investigación e/ou industrial na área da computación de altas prestacións. Presentaranse diferentes ferramentas colaborativas que facilitan o desenvolvemento do proxecto así como diferentes exemplos de proxectos empresariais e de investigación.

Study programme competencies
Code Study programme competences
A8 CE8 - Be able to apply the acquired knowledge, capabilities and aptitudes to the profesional environment, planning, managing and evaluating project in the high performance computing field
B1 CB6 - Possess and understand the knowledge that give a baseline or opportunity to be original in the development and/or application of ideas, often in a research environment
B3 CB8 - The students have to be able to integrate knowledge and face the complexity to make judgments from information, despite being partial and limited, includes reflexions about the social and ethical responsabilities linked to the application of their judgements and knowledge
B5 CB10 - The students have to possess learning skills that allows them to continue to study in a mainly self-driven or autonomous manner
B6 CG1 - Be able to search and select useful information to solve complex problems, using the bibliographic sources of the field
B7 CG2 - Elaborate adqueately and originally written essays or motivated reasonings, write planings, work projects, scientific papers and formulate reasonable hypothesis
B9 CG4 - Be able to plan and do research, development and innovation tasks in high performance computing related environments
B10 CG5 - Be able to work in teams, specially multidisciplinary, and do a proper time and people management and decision taking
C1 CT1 - Use the basic technologies of the information and computing technology field required for the professional development and the long-life learning
C2 CT2 - Estimulate the capacity to work in transdisciplinary and interdisciplinary teams to offer proposals that contribute to the contribute to the economical, social and political sustainable development
C3 CT3 - Be able to manage time and resources: develop plannings, priorize activities, identify criticism, establish and meet deadlines
C4 CT4 - Value the importance of research, innovation and the technological development in the socioeconomical and cultural advance of the society
C5 CT5 - Understand the importance of the enterpeneurship culture and know the resources available for entrepeneurs

Learning aims
Learning outcomes Study programme competences
The student will know the fundamental bases to carry out successfully a research or industrial project in the area of high performance computing AJ8
 BJ1
BJ3
BJ5
BJ6
BJ7
BJ9
BJ10
 CJ1
CJ2
CJ3
CJ4
CJ5
The student will know different tools that facilitate the development of both research and industrial projects AJ8
 BJ7
BJ10
 CJ1
CJ2
CJ3

Contents
Topic Sub-topic
HPC Research projects
Results' dissemination. Bibliographic studies.
Colaborative tools
Management of HPC projects
Industrial Workshops
HPC business

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Supervised projects A8 B3 B5 B6 B7 B9 B10 C1 C3 1 54 55
Seminar B1 B3 B5 C2 C4 C5 8 0 8
Document analysis A8 B1 B3 B5 C2 C4 C5 11 0 11
 
Personalized attention 1 0 1
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Supervised projects supervised projects performed individually or in group.
Seminar Talks and workshops given by relevant professionals in the field of research in HPC or in the industry.
Document analysis Instruction programmed through teaching materials.

Personalized attention
Methodologies
Supervised projects
Document analysis
Description
The faculty will attend to any doubts that may arise from the students in the study using the teaching materials for the on-line modality.

During the supervised projects, the teachers will monitor the student's work.

Assessment
Methodologies Competencies Description Qualification
Supervised projects A8 B3 B5 B6 B7 B9 B10 C1 C3 Submission and defense of academically supervised projects. 90
Document analysis A8 B1 B3 B5 C2 C4 C5 During the course, the teachers will monitor the active participation of the students. 10
 
Assessment comments

First opportunity (ordinary - May):
· Evaluation of the academically directed works: 90% of the final mark
· Follow-up continued active participation: 10% of the final mark

Second opportunity (extraordinary - July):
· Evaluation of the academically directed works: it will be necessary to present the academically directed works that the students have not presented in the ordinary call, and will go back to present, after the timely modifications indicated by the professors, those that had not received a necessary minimum qualification to pass. 90% of the final mark
· Follow-up continued active participation: the student will keep the mark obtained in this section in the ordinary call, since for the extraordinary call no new activities will be scheduled. 10% of the final mark

it will consider "no sited" all the student that have not delivered any of the works and have not participated in the proposed activities.

During the evaluation, the lecturers can request the students to identify themselves by asking the passport. 

Sources of information
Basic Alexander Osterwalder and Yves Pigneur (). Business Model Generation. John Wiley and Sons
A. H. Hofmann (). Scientific writing and communication. Oxford University Press
Eric Ries (). The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses. Crown Publishing Group

Complementary


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments
<p>Knowledge of English, both spoken and written, is essential since many of the bibliography and external conferences can be in English.</p>


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.