Degree | Type | Year |
---|---|---|
2503758 Data Engineering | OB | 3 |
You can view this information at the end of this document.
This subject has no PRE-REQUIREMENTS. It is recommended to have studied the subjects of infrastructure management for data processing and software engineering.
The objective of this course is to be able to use cloud computing systems and be able to develop computer applications and manage cloud systems. That is why it is necessary to know the systems in the cloud, the technologies they use, the services they provide and it is necessary to understand how they work.
1. Introduction to Cloud Computing: benefits, challenges and risks.
2. Cloud Computing Models: Infrastructure / Platform / Software as a Service.
3-Virtual private cloud and node network configuration
4-Basic computation services
5-Basic storage services
6-Elasticity and scalability
7-Cost evaluation: Total Cost of Ownership
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Laboratori | 12 | 0.48 | 1, 2, 3, 4 |
Lectures | 20 | 0.8 | 1, 2, 3, 4 |
Problem Solving | 9 | 0.36 | 1, 2, 3, 4 |
Type: Autonomous | |||
Autonomous study | 30 | 1.2 | 1, 2, 3, 4 |
Labs preparation | 32 | 1.28 | 1, 2, 3, 4 |
Problem Solving Study | 20 | 0.8 | 1, 2, 3, 4 |
In the development of the subject, four types of teaching activities can be distinguished:
This approach to work is aimed at promoting active learning and developing the skills of organization and planning, oral and written communication, teamwork and critical reasoning. The quality of the exercises carried out, their presentation and their operation will be especially valued.
The management of the teaching of the subject will be done through the Virtual Campus (https://cv.uab.cat/), which will serve to see the materials, manage the practice groups, make the corresponding deliveries, see the notes , communicate with teachers, etc.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Exam 1 | 30 | 2 | 0.08 | 1, 2, 3, 4 |
Exam 2 | 30 | 2 | 0.08 | 1, 2, 3, 4 |
Exercices Solving | 10 | 5 | 0.2 | 1, 2, 3, 4 |
Labs | 30 | 18 | 0.72 | 1, 2, 3, 4 |
The aim of the evaluation process is to verify that the student has achieved the knowledge and skills defined in the objectives of the subject, as well as the competencies.
Several types of activities will be evaluated independently where the weighted sum of them will give the final grade. These activities are:
The Theory (T) part will be assessed with two individual partial tests throughout the course. The final grade of Theory will come from the weighted sum of the two controls (0.5 * Control 1 + 0.5 * Control 2). There will be a second chance to retake that part on the day we are assigned to the week of resit exams. Parts that have not been passed in the partial theory tests may be recovered. The minimum grade to pass this part is> = 4.5.
The Laboratory Practice Resolution (PL) part will be assessed as a group. It will have several deliveries. The final grade will come from the weighted sum of the deliveries. To pass the PL the minimum grade must be> = 4.5. There is only one chance (this part cannot be recovered).
The individual practical exercises (PA) will consist of working on very specific exercises and questions, some of them related to those found in laboratory practices. Given their nature and purpose, they are not recoverable.
The final grade of the course will be the weighted sum of the grades of each of the four activities. The result must be> = 5.
In case of not passing the subject, not reaching the minimum score in any of the sections (Theory or Laboratory Practices), although when doing the weighted average the final grade was equal to or higher than 5 the grade that will be put in the file will be 4.5.
In the event that the average does not reach 5, the grade that will appear in the file will be the numerical grade obtained numerically.
If the student delivers any activity, it is understood that it is presented in the subject and will be evaluated. If it does not deliver any activity, then it can be considered Not evaluable.
Granting an honorary enrollment grade is the decision of the faculty responsible for the subject. UAB regulations state that MHs can only be awarded to students who have obtained a final grade equal to or higher than 9.00. Up to 5% MHs of the total number of students enrolled can be awarded.
The dates of continuous evaluation and delivery of works will be published on the virtual campus and may be subject to possible scheduling changes for reasons of adaptation to possible incidents; these changes will always be reported to the virtual campus as it is understood that the CV is the usual mechanism for the exchange of information between teachers and students.
For each assessment activity, a place, date and time of review will be indicated in which the student will be able to review the activity with the teacher. In this context, claims may be made on the grade of the activity, which will be evaluated by the teacher responsible for the subject. If the student does not appear for this review, this activity will not be reviewed later.
Repeating students: Repeating students who have passed the laboratory practices can request the validation of this part of the subject. The rest of the assessment activities must be done in the same conditions as the other students.
Note on plagiarism:
Without prejudice to other disciplinary measures deemed appropriate, and in accordance with current academic regulations, irregularities committed by a student that may lead to a variation in the grade in an assessable activity will be graded with a zero ( 0). Assessment activities qualified in this way and by this procedure will not be recoverable. If it is necessary to pass any of these assessment activities to pass the course, this course will be suspended directly, without the opportunity to retake it in the same course. These irregularities include, but are not limited to:
the total or partial copy of a practice, report, or any other assessment activity;
let copy;
present group work not done entirely by group members (applied to all members, not just those who have not worked);
present as own materials prepared by a third party, even if they are translations or adaptations, and in general works with non-original and exclusive elements of the student;
have communication devices (such as mobile phones, smart watches, camera pens, etc.) accessible during individual theoretical-practical assessment tests (exams);
talk to classmates during individual theoretical-practical assessment tests (exams);
copy or attempt to copy from other students during the theoretical-practical assessment tests (exams
- Dan C. Marinescu. “Cloud Computing. Theory and Practice”. Morgan-Kaufmann. 2018.
-AWS Certified Cloud Practitioner Study Guide; Ben Piper, David Clinton; Sybex (14 de junio de 2019); ISBN-10: 1119490707, ISBN-13: 978-1119490708
-The Practice of System and Network Administration: Volume 1: DevOps and other Best Practices for Enterprise IT; Thomas A. Limoncelli, Strata R. Chalup; Addison-Wesley Educational Publishers Inc; Edición: 01 (3 de septiembre de 2014); ISBN-10: 032194318X, ISBN-13: 978-0321943187
-Infrastructure as Code; Kief Morris; O'Reilly Media; 1 edition (June 17, 2016); ISBN-10: 1491924357, ISBN-13: 978-1491924358
-Cloud Computing for Science and Engineering; Ian Foster, Dennis B. Gannon; The MIT Press; Edición: 1 (27 de octubre de 2017); Colección: Scientific and Engineering Computation; ISBN-10: 9780262037242, ISBN-13: 978-0262037242
-Amazon Web Services in Action, 2E; Andreas Wittig, Michael Wittig; Manning Publications; Edición: 2nd edition (30 de septiembre de 2018); ISBN-10: 1617295116, ISBN-13: 978-1617295119
-Microsoft Azure Essentials - Fundamentals of Azure, 2nd Ed; Michael Collier, Robin Shahan; 2016; https://download.microsoft.com/download/6/6/2/662DD05E-BAD7-46EF-9431-135F9BAE6332/9781509302963_Microsoft%20Azure%20Essentials%20Fundamentals%20of%20Azure%202nd%20ed%20pdf.pdf
-Mastering Cloud Computing : Foundations and Applications Programming. Buyya, Rajkumar;Vecchiola, Christian;y más Elsevier Science & Technology 2013. ISBN: ISBN number:9780124114548, ISBN number:9780124095397
-Cloud Computing : An Introduction. Chopra, Rajiv Mercury Learning & Information 2017. ISBN: ISBN number:, ISBN number:9781683920939
-Cloud Computing for Dummies. Hurwitz, Judith S.;Bloor, Robin;y más John Wiley & Sons, Incorporated 2009. ISBN: ISBN number:9780470484708, ISBN number:9780470597408
-Hybrid Cloud for Dummies. Hurwitz, Judith S.;Kaufman, Marcia;y más John Wiley & Sons, Incorporated 2012. ISBN: ISBN number:9781118127193, ISBN number:9781118224878
-Heroku Cloud Application Development. Hanjura, Anubhav Packt Publishing, Limited 2014. ISBN: ISBN number:9781783550975, ISBN number:9781783550982
-Cloud Enterprise Architecture. Raj, Pethuru Auerbach Publishers, Incorporated 2012. ISBN: ISBN number:9781466502321, ISBN number:9781466502338
-Moving to the Cloud. Sitaram, Dinkar ;Manjunath, Geetha Elsevier Science & Technology Books Elsevier Science & Technology Books 2011. ISBN: 9781597497251, 9781597497268
-Huang, Dijiang, and Huijun Wu. Mobile Cloud Computing : Foundations and Service Models, Elsevier Science & Technology, 2017. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/uab/detail.action?docID=5043169.
-G. Coulouris, J. Dollimore and T. Kinderg, "Distributed Systems. Concepts and design ", Addison-Wesley, 5th edition, 2012
ADDITIONAL:
-Big Data : Principles and Paradigms. Buyya, Rajkumar;Calheiros, Rodrigo N.;y más Elsevier Science & Technology 2016. ISBN: ISBN number:9780128053942, ISBN number:9780128093467
-Fog and Edge Computing : Principles and Paradigms : Principles and ParadigmsÛuyya, Rajkumar;Srirama, Satish Narayana John Wiley & Sons, Incorporated 2019. SBN: ISBN number:9781119524984, ISBN number:9781119525011. ERIE: Wiley Series on Parallel and Distributed Computing Ser.
Visual Studio Code
Python
Azure Cloud
AWS Cloud
Google Cloud
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PLAB) Practical laboratories | 811 | Catalan/Spanish | second semester | morning-mixed |
(PLAB) Practical laboratories | 812 | Catalan/Spanish | second semester | morning-mixed |
(PLAB) Practical laboratories | 813 | Catalan/Spanish | second semester | morning-mixed |
(TE) Theory | 81 | Catalan/Spanish | second semester | afternoon |