Academic Year:
2021/22
31236 - ADVANCED COMPUTATIONAL TECHNIQUES
This is a non-sworn machine translation intended to provide students with general information about the course. As the translation from Spanish to English has not been post-edited, it may be inaccurate and potentially contain errors. We do not accept any liability for errors of this kind.
The course guides for the subjects taught in English have been translated by their teaching teams
Teaching Plan Information
Code - Course title:
31236 - ADVANCED COMPUTATIONAL TECHNIQUES
Degree:
616 - Máster en Química Teórica y Modelización Computacional (2013)
651 - Máster Erasmus Mundus en Química Teórica y Modelización Computacional
748 -
751 - Máster en Química Teórica y Modelización Computacional Europeo
762 -
Faculty:
104 - Facultad de Ciencias
Academic year:
2021/22
1.1. Content area
Advanced Computational Techniques
1.2. Course nature
616 - Compulsory
762 - Optional
651 - Compulsory
748 - Optional
751 - Compulsory
1.3. Course level
Máster (EQF/MECU 7)
1.6. ECTS Credit allotment
6.0
1.7. Language of instruction
English
1.8. Prerequisites
There are no previous prerequisites.
1.9. Recommendations
There are no recommendations.
1.10. Minimum attendance requirement
Attendance is mandatory.
1.11. Subject coordinator
Manuel Alcami Pertejo
1.12. Competences and learning outcomes
1.12.1. Competences
BASIC AND GENERAL COMPETENCES
CB6 – Students possess and understand knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, often in a research context.
CB7 - Students know how to apply the acquired knowledge and their problem solving capacity in new or little known environments within broader (or multidisciplinary) contexts related to their area of study.
CB8 - Students are able to integrate knowledge and face the complexity of making judgments from information that, incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments.
CB9 - Students know how to communicate their conclusions and the knowledge and reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way.
CB10 - Students possess the learning skills that allow them to continue studying in a way that will be self-directed or autonomous.
CG01 - Students are able to foster, in academic and professional contexts, technological and scientific progress within a society based on knowledge and respect for: a) fundamental rights and equal opportunities between men and women, b) The principles of equal opportunities and universal accessibility for persons with disabilities, and c) the values of a culture of peace and democratic values.
CG04 - Students develop a critical thinking and reasoning and know how to communicate them in an egalitarian and non-sexist way both in oral and written form, in their own language and in a foreign language.
CROSS-COMPREHENSIVE COMPETENCES
CT01 - Students are able to adapt their selves to different cultural environments by demonstrating that they are able to respond to change with flexibility.
SPECIFIC COMPETENCES
CE22 – Students know the existence of advanced computational techniques such as instruction and data channeling, superscalar and multiscalar processors, chain operations, parallel platforms, etc.
1.12.2. Learning outcomes
- Set up or recognize the Schrödinger equation for model systems in the presence of external conditions to solve it using computational techniques.
- To know how to use network-based High Performance Computation (HPC) facilities such as Grid or similar techniques.
- To know about some library of parallel computing routines and how to apply them to some kind of particular problems (e.g., magnetic systems).
- To know the basics of Quantum Computing applied to Theoretical Chemistry
1.12.3. Course objectives
-
1.13. Course contents
-
Grid Computing
- Massive parallelization techniques: shared memory and distributed memory
- Use of massively parallel mathematical libraries.
- Quantum Computing
1.14. Course bibliography
The teaching materials for all the subjects will be informed in advance on the website of the Intensive Course.
2. Teaching-and-learning methodologies and student workload
2.1. Contact hours
|
|
# hours
|
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Contact hours (minimum 33%)
|
42
|
|
Independent study time
|
108
|
2.2. List of training activities
|
Activity
|
# hours
|
|
Lectures
|
32
|
|
Seminars
|
|
|
Practical sessions
|
|
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Clinical sessions
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|
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Computer lab
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|
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Laboratory
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|
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Work placement
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|
|
Supervised study
|
|
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Tutorials
|
10
|
|
Assessment activities
|
|
|
Other
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|
Classes in computer science classroom:Teaching will be taught in a computer classroom. The classes, in two-hour sessions, will include a brief theoretical introduction, in which the teacher will explain the basic concepts and practical applications, and a practical part, in which the student will learn through the resolution of practical case.
Seminars:The Professor and the students will discuss the results being obtained, the potential problems and difficulties in using the various methodologies as well as to supervise the preparation of the required reports.
Tutoring sessions: The professor can organize either individual or group tutoring sessions about particular topics and questions raised by students.
Network teaching: All the tools available at the Moodle website (https://posgrado.uam.es) will be used (uploading of teaching materials, utilization of work team strategies, wiki, blogs, e-mail, etc.).
3. Evaluation procedures and weight of components in the final grade
3.1. Regular assessment
The final grade of the course will be based on:
- 60% Performance of a critical report on the practices carried out or exercises related to the subject.
- 40% Discussion in tutorials and/or seminars about the exercises, works or practices carried out in the subject.
3.1.1. List of evaluation activities
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Evaluation Activity
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%
|
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Delivery of course exercises or critical report.
|
60
|
|
Discussion in tutorials and/or seminars about the exercises, works or practices.
|
40
|
3.2. Resit
The 100% of the mark will be the one obtained from the delivery of the exercises proposed by the teachers of the subject.
3.2.1. List of evaluation activities
|
Evaluatory activity
|
%
|
|
Exercises
|
100
|
4. Proposed workplan
The subject Advanced Computer Techniques will be given by the University of Groningen in the format of an intensive course in November 2020. Due to the exceptional circumstances of covid19 all sessions will also be available in online format for all students who are unable to attend.
All course information is available on the website of the master: www.emtccm.org