Study programme competencies |
Code
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Study programme competences
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A52 |
Capacidade para comprender o contorno dunha organización e as súas necesidades no ámbito das tecnoloxías da información e as comunicacións. |
A53 |
Capacidade para seleccionar, deseñar, despregar, integrar, avaliar, construír, xestionar, explotar e manter as tecnoloxías de hárdware, sóftware e redes dentro dos parámetros de custo e calidade adecuados. |
A55 |
Capacidade para seleccionar, deseñar, despregar, integrar e xestionar redes e infraestruturas de comunicacións nunha organización. |
B1 |
Capacidade de resolución de problemas |
B3 |
Capacidade de análise e síntese |
C6 |
Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse. |
C8 |
Valorar a importancia que ten a investigación, a innovación e o desenvolvemento tecnolóxico no avance socioeconómico e cultural da sociedade. |
Learning aims |
Learning outcomes |
Study programme competences |
Capacity to select, design, deploy, integrate, evaluate, build, manage, exploit and maintain the hardware, software and network technologies within appropriate cost and quality parameters.
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A52 A53
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B1 B3
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C6 C8
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Capacity for selecting, designing, deploying, integrating and managing infrastructure and network communication infrastructures in an organization. |
A52 A55
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B1 B3
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C6 C8
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Contents |
Topic |
Sub-topic |
Despregamento e administración de infraestrutura |
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1. Cloud Computing
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Introduction
Service Models
Deployment
Example of a public cloud provider: Amazon Web Services |
2. Virtualization |
Virtualization Technologies
Server Virtualization
Container technologies
Seminar and exercises on Docker |
3. Clusters |
Cluster Elements
Administration
Monitorization
Seminar on container clustering
Seminar on distributed Big Data infrastructures |
Planning |
Methodologies / tests |
Competencies |
Ordinary class hours |
Student’s personal work hours |
Total hours |
Laboratory practice |
A53 A55 B1 B3 C6 |
21 |
63 |
84 |
Mixed objective/subjective test |
A52 A53 A55 B1 B3 |
3 |
6 |
9 |
Guest lecture / keynote speech |
A52 A53 A55 C6 C8 |
21 |
31.5 |
52.5 |
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Personalized attention |
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4.5 |
0 |
4.5 |
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(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Methodologies |
Description |
Laboratory practice |
Practical exercises on selection, design, deployment, evaluation and management of storage infrastructure, both on premises and on the cloud, to work on the concepts discussed in the classroom. |
Mixed objective/subjective test |
Test made up of evaluation questions to validate that the students have understandood the theoretical concepts and they know how to put it into practice. |
Guest lecture / keynote speech |
Classroom presentation on the topics of the subject to transmit knowledge and ease the learning and assimilation process of the discussed concepts.
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Personalized attention |
Methodologies
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Guest lecture / keynote speech |
Laboratory practice |
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Description |
Solving doubts of the students on the lab exercises.
Personalized attention to those students with part-time enrollment or with difficulties to attend lectures due to special circumstances. |
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Assessment |
Methodologies
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Competencies |
Description
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Qualification
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Laboratory practice |
A53 A55 B1 B3 C6 |
A avaliación das prácticas de laboratorio realizarase ao longo do curso có obxectivo de valorar os coñecementos adquiridos e o traballo do alumnado durante as sesións prácticas. |
50 |
Mixed objective/subjective test |
A52 A53 A55 B1 B3 |
Ao final do cuadrimestre realizarase un exame individual sobre os contidos do temario desenvolvido durante as sesións maxistrais onde o alumnado deberá demostrar os coñecementos adquiridos. |
50 |
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Assessment comments |
It is required at least 40% of lab exercises and 40% of the written exam. If these conditions are not met but the final mark (applying the formula) is above 5 then the final mark will be 4 (Fail) out of 10. Thus, an 8 in labs and 3 in examn then the pondered mark is 5.5, but in the academic record of the student it will be specified a 4 (Fail). Failing in June means that there is an opportunity of retake the exam in July, maintaiining the lab qualification. In this case it will be required only a 40% in the written exam and a final note over 5. Part time students will be specially considered in order to support his/jer work. There will be some addtional flexibility and personalized treatment for them.
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Sources of information |
Basic
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Somasundaram Gnanasundaram, Alok Shrivastava (2012). Information Storage and Management, 2nd Edition. John Wiley & Sons
Kief Morris (2020). Infrastructure as Code, 2nd Edition. O'Reilly
Ulf Troppens, Rainer Erkens, Wolfgang Müller (2009). Storage Networks Explained, 2nd Edition. John Wiley & Sons
Miguel Darío González Río (2016). Tecnologías de Virtualización. IT Campus Academy
Matthew Portnoy (2016). Virtualization Essentials, 2nd Edition. Sybex |
* Didactic Matherial in Moodle. |
Complementary
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Luis Joyanes Aguillar (2014). Big Data: Análisis de grandes volúmenes de datos en organizaciones. Marcombo
Jeff Nickoloff, Stephen Kuenzli (2019). Docker in Action, 2nd Edition. Manning Publications
Tom White (2015). Hadoop: The Definitive Guide, 4th Edition. O'Reilly
Marko Luksa (2018). Kubernetes in Action. Manning Publications
Mikael Krief (2019). Learning DevOps. Packt Publishing
Sam Alapati (2016). Modern Linux Administration: How to Become a Cutting-Edge Linux Administrator. O'Reilly |
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Recommendations |
Subjects that it is recommended to have taken before |
Operating Systems Administration/614G01047 | Network Administration/614G01048 | Computer Systems Security/614G01079 |
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Subjects that are recommended to be taken simultaneously |
Computer Infrastructure Engineering/614G01059 |
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Subjects that continue the syllabus |
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