Guías Docentes Electrónicas
1. General information
Course:
PLANNING AND MANAGEMENT OF INFORMATION AND COMMUNICATION TECHNOLOGY INFRASTRUCTURES
Code:
310604
Type:
CORE COURSE
ECTS credits:
6
Degree:
2359 - MASTERS DEGREE PROGRAMME IN COMPUTER ENGINEERING (CR-2019)
Academic year:
2021-22
Center:
108 - SCHOOL OF COMPUTER SCIENCE OF C. REAL
Group(s):
20 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
https://campusvirtual.uclm.es
Bilingual:
N
Lecturer: JULIAN CABA JIMENEZ - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
3.05
TECNOLOGÍAS Y SISTEMAS DE INFORMACIÓN
6725
julian.caba@uclm.es
Available on https://esi.uclm.es/categories/profesorado-y-tutorias

2. Pre-Requisites

The student must have basic knowledge of the various information and communication technologies and their use.

Good knowledge of the Windows and Unix operating systems.

3. Justification in the curriculum, relation to other subjects and to the profession

Nowadays data centers seek a balance between efficiency and availability to support high service demand thorough a combination of technologies such as virtualization (servers, network, storage), automatization and cloud and edge computing.

This course, which is part of the Systems and Network Architecture, aims to train in the methodology of applying this multidisciplinary knowledge to the approach, development and management of ICT infrastructures. The course allows students to learn the knowledge and application of the processes necessary for the management of an ICT infrastructure aligned with business requirements.


4. Degree competences achieved in this course
Course competences
Code Description
CE01 Ability to integrate technologies, applications, services and systems within the field of computer engineering in a general manner, in wide and multidisciplinary situations.
CE04 Ability to model, design, architecture define, implement, manage, operate, administrate and maintain applications, networks, systems services and computer content.
CE05 Ability to understand and apply the functioning steps and organisation of the internet, the newest network technologies and protocols, models for components, intermediary software and services.
INS01 Analysis, synthesis and assessment skills.
INS02 Organising and planning skills.
INS03 Ability to manage information and data.
INS04 Problem solving skills by the application of engineering techniques.
INS05 Argumentative skills to logically justify and explain decisions and opinions.
PER01 Team work abilities.
PER03 Ability to work in an international context.
PER04 Interpersonal relationship skills.
PER05 Acknowledgement of human diversity, equal rights and cultural variety.
SIS01 Critical thinking.
SIS03 Autonomous learning.
SIS04 Adaptation to new scenarios.
UCLM01 Command of a second language at a B1 level within the Common European Framework of Reference for Languages
UCLM02 Ability to use Information and Communication Technologies.
UCLM03 Accurate speaking and writing skills.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Know the principles of High-Availability Architecture systems
Know how to deal with the management of large system infrastructures
Know how to effectively apply communications support to a hardware infrastructure
Know how to implement and configure high-availability systems based on standard servers
Know how to implement, configure and run virtual services on servers
Know real-life examples of large ICT infrastructures in companies and/or administrations
Know the basics of hardware planning in large installations, as well as its integration with communication systems
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Introduction - Large ICT Architectures
  • Unit 2: Large ICT Systems
  • Unit 3: Virtualization
  • Unit 4: High-Availability Systems
  • Unit 5: Cloud Computing
ADDITIONAL COMMENTS, REMARKS

This subject follows the problem-based learning methodology. Thus, hands-on activities are carried out for each of the units/contents.


7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures CE01 CE04 CE05 INS01 INS03 SIS01 0.96 24 N N Teaching of the subject matter by lecturer (MAG)
Workshops or seminars [ON-SITE] Lectures CE01 CE04 CE05 INS01 INS02 INS03 INS04 INS05 PER01 PER03 PER04 SIS01 SIS03 SIS04 UCLM01 UCLM02 UCLM03 0.16 4 N N Lectures and seminars given by professionals related to the subject (MAG)
Laboratory practice or sessions [ON-SITE] Practical or hands-on activities CE01 CE04 CE05 INS01 INS02 INS03 INS04 INS05 PER01 PER03 PER04 SIS01 SIS03 SIS04 UCLM01 UCLM02 UCLM03 0.96 24 Y Y Realization of practicals in laboratory/computing room (LAB)
Group tutoring sessions [ON-SITE] Guided or supervised work CE01 CE04 CE05 INS01 INS04 INS05 SIS01 UCLM03 0.18 4.5 N N Individual or small group tutoring in lecturer's office, classroom or laboratory (TUT)
Project or Topic Presentations [ON-SITE] Debates CE01 CE04 CE05 INS01 INS02 INS03 INS05 PER01 PER04 PER05 SIS01 SIS03 UCLM02 UCLM03 0.08 2 Y N Preparation of essays on topics proposed by lecturer (RES)
Study and Exam Preparation [OFF-SITE] Self-study CE01 CE04 CE05 INS01 INS02 INS03 INS04 INS05 SIS01 SIS03 UCLM01 UCLM02 UCLM03 0.2 5 Y N Self-study (EST)
Writing of reports or projects [OFF-SITE] project-based learning CE01 CE04 CE05 INS02 INS03 INS04 INS05 PER01 SIS01 SIS03 1 25 Y Y
Writing of reports or projects [OFF-SITE] Project/Problem Based Learning (PBL) CE01 CE04 CE05 INS01 INS02 INS03 INS04 INS05 PER01 PER03 PER04 PER05 SIS01 SIS03 UCLM01 UCLM02 UCLM03 2.4 60 Y Y Preparation of essays on topics proposed by lecturer (RES)
Final test [ON-SITE] Assessment tests CE01 CE04 CE05 INS01 INS02 INS03 INS04 INS05 SIS01 SIS03 UCLM03 0.06 1.5 Y Y Tests of the syllabus of the subject (EVA)
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Oral presentations assessment 10.00% 10.00% Non-Compulsory activity that can be retaken (EVA).
Practicum and practical activities reports assessment 20.00% 20.00% Non-compulsory activity that can be retaken. To be carried out during the theory/lab sessions. (LAB)
Assessment of problem solving and/or case studies 25.00% 25.00% Theoretical and/or practical work, reports and/or problem solving and cases. (EVA). Compulsory activity that can be retaken.
Final test 30.00% 30.00% Theoretical and/or practical work, reports and/or resolution of problems and cases. (EVA). Compulsory activity that can be retaken.
Self Evaluation and Co-evaluation 15.00% 15.00% Self-evaluation test. Compulsory activity that can be retaken. (EST)
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    In compulsory activities, a minimum mark of 40% is required in order to pass that activity and have the possibility to therefore pass the entire subject. The evaluation of the activities will be global and therefore must be quantified by means of a single mark. In the case of the activities that may be retaken (i.e., rescheduling), an alternative activity or test will be offered in the resit/retake exam call (convocatoria extraordinaria).

    The final exam will be common for all the theory/laboratory groups of the subject and will be evaluated by the lecturers of the subject in a serial way, i.e., each part of the final exam will be evaluated by the same lecturer for all the students.

    A student is considered to pass the subject if she/he obtains a minimum of 50 points out of 100, taking into account the points obtained in all the evaluable activities, and also has passed all the compulsory activities.

    For students who do not pass the subject in the final exam call (convocatoria ordinaria), the marks of activities already passed will be conserved for the resit/retake examcall (convocatoria extraordinaria). If an activity is not recoverable, its assessment will be preserved for the resit/retake exam call (convocatoria extraordinaria) even if it has not been passed. In the case of the passed recoverable activities, the student will have the opportunity to receive an alternative evaluation of those activities in the resit/retake exam call and, in that case, the final grade of the activity will correspond to the latter grade obtained.

    The mark of the passed activities in any call, except for the final exam, will be conserved for the subsequent academic year at the request of the student, provided that mark is equal or greater than 50% and that the activities and evaluation criteria of the subject remain unchanged prior to the beginning of that academic year.

    The failure of a student to attend the final exam will automatically result in her/him receiving a "Failure to attend" (no presentado). If the student has not passed any compulsory evaluation activity, the maximum final grade will be 40%.
  • Non-continuous evaluation:
    Students may apply at the beginning of the semester for the non-continuous assessment mode. In the same way, the student may change to the non-continuous evaluation mode as long as she/he has not participated during the teaching period in evaluable activities that together account for at least 50% of the total mark of the subject. If a student has reached this 50% of the total obtainable mark or the teaching period is over, she/he will be considered in continuous assessment without the possibility of changing to non-continuous evaluation mode.

    Students who take the non-continuous evaluation mode will be globally graded, in 2 annual calls per subject, an ordinary and an extraordinary one (evaluating 100% of the competences), through the assessment systems indicated in the column "Non-continuous evaluation".

    In the "non-continuous evaluation" mode, it is not compulsory to keep the mark obtained by the student in the activities or tests (progress test or partial test) taken in the continuous assessment mode.

Specifications for the resit/retake exam:
Evaluation tests or activities will be conducted for all recoverable activities.
Specifications for the second resit / retake exam:
Same characteristics as the resit/retake exam call.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours

Unit 1 (de 5): Introduction - Large ICT Architectures
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 1
Final test [PRESENCIAL][Assessment tests] .2
Group 20:
Initial date: 07-02-2022 End date: 13-02-2022

Unit 2 (de 5): Large ICT Systems
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 6
Group tutoring sessions [PRESENCIAL][Guided or supervised work] 1
Project or Topic Presentations [PRESENCIAL][Debates] .5
Study and Exam Preparation [AUTÓNOMA][Self-study] 1
Writing of reports or projects [AUTÓNOMA][Project/Problem Based Learning (PBL)] 10
Writing of reports or projects [AUTÓNOMA][project-based learning] 3
Final test [PRESENCIAL][Assessment tests] .3
Group 20:
Initial date: 14-02-2022 End date: 06-03-2022

Unit 3 (de 5): Virtualization
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 6
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 6
Group tutoring sessions [PRESENCIAL][Guided or supervised work] 1.5
Project or Topic Presentations [PRESENCIAL][Debates] .75
Study and Exam Preparation [AUTÓNOMA][Self-study] 1
Writing of reports or projects [AUTÓNOMA][Project/Problem Based Learning (PBL)] 20
Writing of reports or projects [AUTÓNOMA][project-based learning] 8
Final test [PRESENCIAL][Assessment tests] .5
Teaching period: 3 Weeks
Group 20:
Initial date: 07-03-2022 End date: 03-04-2022

Unit 4 (de 5): High-Availability Systems
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Workshops or seminars [PRESENCIAL][Lectures] 4
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 6
Group tutoring sessions [PRESENCIAL][Guided or supervised work] 1.5
Project or Topic Presentations [PRESENCIAL][Debates] .75
Study and Exam Preparation [AUTÓNOMA][Self-study] 1
Writing of reports or projects [AUTÓNOMA][Project/Problem Based Learning (PBL)] 20
Writing of reports or projects [AUTÓNOMA][project-based learning] 8
Final test [PRESENCIAL][Assessment tests] .25
Teaching period: 2,5 Weeks
Group 20:
Initial date: 04-04-2022 End date: 19-04-2022

Unit 5 (de 5): Cloud Computing
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 6
Group tutoring sessions [PRESENCIAL][Guided or supervised work] .5
Study and Exam Preparation [AUTÓNOMA][Self-study] 1
Writing of reports or projects [AUTÓNOMA][Project/Problem Based Learning (PBL)] 10
Writing of reports or projects [AUTÓNOMA][project-based learning] 6
Final test [PRESENCIAL][Assessment tests] .25
Teaching period: 2.5 weeks
Group 20:
Initial date: 20-04-2022 End date: 15-05-2022

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Adrian Mouat Using Docker O'Reilly 978-1-491-91576-9 2016  
Brendan Burns, Joe Beda, and Kelsey Hightower Kubernetes: Up and Running O'Reilly Media, Inc. 978-1-492-04653-0 2019  
Christoph Fehling, Frank Leymann, Ralph Retter, Walter Schupeck, and Peter Arbitter Cloud Computing Patterns. Fundamentals to Design, Build, and Manage Cloud Applications Springer 2014 http://www.cloudcomputingpatterns.org/  
Holden Karau; Andy Konwinski; Patrick Wendell; Matei Zaharia Learning Spark O'Reilly Media, Inc. 978-1-4493-5862-4 2015  
Luiz André Barroso, Urs Hölzle, and Parthasarathy Ranganathan The Datacenter as a Computer. Third Edition Morgan & Claypool 2018 https://www.morganclaypool.com/doi/abs/10.2200/S00874ED3V01Y201809CAC046  
Rajkumar Buyya , Christian Vecchiola, S Thamarai Selvi Mastering Cloud Computing Morgan Kaufmann 978-0-12- 411454-8 2013  
Sam Newman Building Microservices O'Reilly Media, Inc. 978-1-491-95035-7 2014  
Sander van Vugt Pro Linux High Availability Clustering Apress 978- 1484200803 2014  
Tom White Hadoop. The Definitive Guide. 4th Edition O'Reilly 2015 En su lugar, puede usarse la 3.ª edición.  



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