upm thesis plataforma

Programa de Doctorado Transversal en Arquitectura y Urbanismo

Escuela técnica superior de arquitectura de madrid (etsam). universidad politécnica de madrid (upm), plataforma thesis.

En este curso 2021-2022 se pone en marcha la plataforma THESIS que, gracias al trabajo del VR de Estrategia y Transformación Digital y la colaboración del VR de Investigación, Innovación y Doctorado, permite la gestión integrada de doctorado. El acceso ya es posible para doctorandos y directores de tesis en el enlace https://www.upm.es/thesis/ .

La plataforma THESIS permite, de momento, los siguientes trámites:

· modificación de título,

· realización del informe anual (plan de investigación) y

· solicitud de prórroga

a los que en breve se irán sumando el resto de trámites y actividades del doctorado.

Se están preparando varias reuniones informativas para distintos colectivos (subdirectores de escuela, coordinadores de programas de doctorado, directores de tesis y estudiantes) para presentar la plataforma y revisar la forma de trabajo para estos trámites en marcha en estas semanas.

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Accesibilidad

Universidad Politécnica de Madrid

Estudiantes
/ Estudios y Titulaciones
/ Estudios de Doctorado
/ Normativa
Estudios Oficiales de Grado
Programas Académicos con Recorridos Sucesivos (Grado + Máster Oficiales)
Estudios Oficiales de Máster
Estudios de Doctorado
Estudios Propios de Grado
Estudios Propios de Posgrado y Formación Continua
Formación permanente
Reconocimiento de Créditos
Calendario Académico
Carné Universitario
Actividades Acreditables para Estudios de Grado
Convenios con otras instituciones y universidades
Devolución de Tasas
03. Trámites y solicitudes
Plataforma de Tele-educación
Punto de Inicio
Puesta a Punto para Estudiantes
OpenCourseWare
Audiovisual
Ayudas a alumnos de doble titulación
Ayudas de viajes
Bolsa de viaje
Ayudas de viaje en Cooperación
Ayudas del Consejo Social
Ayudas para el viaje a Rusia dentro del proyecto "Maratón Estudiantil"
Dobles titulaciones
Programas Nacionales
Programas Internacionales
Centro de Lenguas UPM
Coordinadores en los Centros
Escuelas de Verano Internacionales
Prácticas Académicas Universitarias
Oportunidades de Empleo
Orientación Laboral
Revista TalentUPM. Feria de Empleo UPM
Alojamiento para estudiantes
Seguro de asistencia
Guía para estudiantes extranjeros
Manuales de prevención de riesgos
09. Delegación de alumnos
Relación de Asociaciones de Estudiantes
Cooperación para el Desarrollo
Unidad de Atención a la Discapacidad
Voluntariado
12. Competiciones de Estudiantes
Normas específicas
Seguro escolar
Seguro Mayores de 28 años
Seguro de Movilidad Nacional y Prácticas
Seguro de Movilidad Internacional
Seguro para alumnos de títulos propios
Seguro de Responsabilidad Civil

Normativa de Doctorado

Esta página web recoge todos los documentos, modelos, compromisos y formularios relacionados con la normativa que atañe a los programas de doctorado con el fin de facilitar al usuario toda la documentación en un mismo lugar de la web UPM.

En primer lugar se puede encontrar toda la normativa propia de la UPM, seguido de la normativa estatal y regional y, por último, documentación de interés para el doctorando.

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Propia UPM:

Reglamento de Régimen Interno de la Escuela Internacional de Doctorado
Formularios de solicitud de cambio de dedicación ( español / English)
Sólo procedimiento on-line a través de la plataforma THESIS
Formularios de solicitud de baja temporal ( español / English)
Formularios de solicitud de cambio de programa de doctorado ( español / English)
El alta de investigador lo realizará el interesado de forma on-line a través de la plataforma THESIS. La plataforma THESIS requiere cuenta de acceso @upm.es. Si el interesado no dispone de cuenta @upm.es, el coordinador del programa debe solicitarlo por correo a [email protected], indicando nombre, apellidos, DNI/NIE/pasaporte y una dirección de email de contacto.
Formulario de solicitud baja , a enviar al coordinador del programa de doctorado
Solicitud de codirección a través de la plataforma THESIS
Formulario Solicitud Cotutela ( Español / English )
Solicitud Autorización Tesis por Compendio Word

Estatal y Autonómica:

RD 99/2011 , texto consolidado de 18 de julio de 2023
Real Decreto 822/2021 , de 28 de septiembre, por el que se establece la organización de las enseñanzas universitarias y del procedimiento de aseguramiento de su calidad.
Real Decreto 967/2014 , por el que se establecen los requisitos y el procedimiento para la homologación y declaración de equivalencia a titulación y a nivel académico universitario oficial y para la convalidación de estudios extranjeros de educación superior.
Decreto 83/2016 , por el que se establecen los precios públicos por estudios universitarios 2016/2017.
Procedimiento y Documentación necesaria
Impreso Solicitud Equivalencia
Descargar, cumplimentar y firmar (electrónicamente) el Impreso de solicitud
Una vez avalado por el Departamento y el Centro, remitirlo a la EID a través de [email protected]
La EID finalizará la tramitación y notificará el resultado a la persona solicitante.

Objectives and goals
Regulations (in Spanish)
Syl l abus Structure
Syl l abus Contents
Quality (in Spanish)
Prospective Students
Enro l ling

COURSES. Master Thesis

UPDATE 2023- 2024

Procedure of the defense of the Master Thesis The defense will take place at E.T.S.I. Caminos, Canales y Puertos. It will be a public lecture, evaluated by a panel of experts. The panel will be composed by three persons that belong to the teaching staff of UPM selected accordingly to the field of the Master Thesis. The student must present the contents, procedure and most relevant results with a discussion and conclusions. The duration time for presentation should be around 20-23 minutes, and will be followed by a questions from the panel and a discussion. If the supervisor is present at the lecture, he should not make any comments and he will not answer any question from the panel addressed to the student.

Exceptions/Remarks. In case that the student needs its title for a job or for any other situation that is clearly justified, a dedicated presentation date can be programmed. Those persons enrolled that do not present the documentation at the above mentioned due dates will be graded as "Not Presented" and will require a new enrollment for the next academic period. The Master Thesis must be the last subject of the studies. If the student fails a subject and needs to enroll for a new period, he must enroll for the Master Thesis again.

Forms and documentation

» Template and Guidelines Template and guidelines for the Master Thesis (in spanish) » Form_TFM-01_ES Solicitud de Realización de TFM (in spanish) » Form_TFM-01_EN Application for Master Thesis (in english) » Form_TFM-02 Defence request » Form_TFM-03 Supervisor evaluation form (Spanish) » Form_TFM-03_EN Supervisor evaluation form (English) » Modelo TFM-04 Recommended grading for the panel » Powerpoint poster template Poster must be written in English and transformed into PDF

Coordinator of the Master Thesis

David Ángel Cendón Franco - [email protected]

JRC Articles
Proceedings
Technical Reports
Presentations
Quesada (2023). Multivariate Time-Series Modelling and Forecasting with High-Order Dynamic Bayesian Networks Applied in Industrial Settings . Ph.D. in Computer Science. Technical University of Madrid
E. Puerto-Santana (2023). Asymmetric Hidden Markov Models and Extensions Applied to Industry . Ph.D. in Computer Science. Technical University of Madrid
Rodríguez Sánchez, Fernando (2021). Multidimensional clustering with Bayesian networks. Tesis (Doctoral), E.T.S. de Ingenieros Informáticos (UPM). DOI
Atienza González, David (2021). Nonparametric Models and Bayesian Networks. Applications to Anomaly Detection. Tesis (Doctoral), E.T.S. de Ingenieros Informáticos (UPM). DOI
Córdoba Sánchez, Irene (2020). Unifying methodologies for graphical models with Gaussian parametrization. Tesis (Doctoral), E.T.S. de Ingenieros Informáticos (UPM). DOI
Benjumeda, M., Learning Tractable Bayesian Networks, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2019
Diaz-Rozo, J., Clustering probabilístico dinámico para la búsqueda de patrones de degradación de elementos de máquina en el ámbito de la Industria 4.0, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2019.
Fernandez-Gonzalez, P., Developments in probabilistic graphical models, circular distributions and theory of random forests with applications in neuroscience , , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2019.
Luengo-Sanchez, S., Clustering based on Bayesian networks with Gaussian and angular predictors : applications in Neuroscience, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2019.
Leguey, I., Directional-linear Bayesian networks and applications in neuroscience, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2018.
Mihaljevic, B., Contributions to Bayesian network classifiers and interneuron classification, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2018.
Varando, G., Theoretical studies on Bayesian network classifiers, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2018.
Anton-Sanchez, L.., “Statistical and optimization methods for spatial data analysis applied to neuroscience”, (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid., 2017.
Ibáñez, A., Machine Learning in Scientometrics, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2015.
Borchani, H., Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data , , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2013.
Karshenas, H., Regularized Model Learning in EDAs for Continuous and Multi-Objective Optimization, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2013.
Lopez-Cruz, P. L., Contributions to Bayesian network learning with applications to neuroscience, , (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2013.
Guerra, L., Semi-supervised subspace clustering and applications to neuroscience, , (supervised by C. Bielza and V. Robles), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2012.
Vidaurre, D., Regularization for sparsity in statistical analysis and machine learning , , (supervised by Pedro Larrañaga and Concha Bielza), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2012.
Correa, M., Inteligencia Artificial para Predicción y Control del Acabado Superficial en Procesos, , (supervised by Concha Bielza), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2010.
Miquelez, T., Avances en Algoritmos de Estimación de Distribuciones. Alternativas en el Aprendizaje y Representación de Problemas, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2010.
Pérez, A., Supervised Classification in Continuous Domains with Bayesian Networks, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2010.
Armañanzas, R., Consensus Policies to Solve Bioinformatic Problems Through Bayesian Network Classifiers and Estimation of Distribution Algorithms, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2009.
Morales, D., Clasificadores Bayesianos en la Selección Embrionaria en Tratamientos de Reproducción Asistida , , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2009.
Calvo, B., Positive Unlabelled Learning with Applications in Computational Biology , , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2008.
Santafé, G., Advances on Supervised and Unsupervised Learning of Bayesian Networks Models. Applications to Population Genetics, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2008.
Romero, T., Algoritmos de Estimación de Distribuciones Aplicados a Problemas Combinatorios en Modelos Gráficos Probabilísticos, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2007.
Fernandez del Pozo, J. A., Listas KBM2L para la Síntesis de Conocimiento en Sistemas de Ayuda a la Decisión, , (supervised by Concha Bielza), Facultad de Informática, Politécnica de Madrid, 2006.
González, C., Contributions on Theoretical Aspects of Estimation of Distribution Algorithms, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2006.
Santana, R., Advances in Probabilistic Graphical Models for Optimization and Learning. Applications in Protein Modelling , , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasc, 2006.
Blanco, R., Learning Bayesian Networks from Data with Factorization and Classification Purposes. Applications in Biomedicine, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2005.
Merino, M., Predicción de Mortalidad Precoz tras Implantación Percutánea Intrahepática en Pacientes Cirróticos. Aplicación de Métodos de Clasificación Supervisada, , (supervised by Pedro Larrañaga), Departamento de Medicina Interna, Universidad de Navarra, 2004.
Robles, V., Clasificación Supervisada basada en Redes Bayesianas. Aplicación en Biología Computacional, , (supervised by Pedro Larrañaga), Departamento de Arquitectura y Tecnología de Sistemas Informáticos, Universidad Politécnica de Madrid, 2003.
Bengoetxea, E., Inexact Graph Matching Using Estimation of Distribution Algorithms, , (supervised by Pedro Larrañaga), Département Traitement du Signal et des Images, Ecole Nationale Supérieure de Télécomunications, 2002.
Gómez, M., IctNeo: Un Sistema de Ayuda a la Decisión para el Tratamiento de la Ictericia, , (supervised by Concha Bielza), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2002.
Inza, I., Advances in Supervised Classification Based on Probabilistic Graphical Models, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2002.
Peña, J. M., On Unsupervised Learning of Bayesian Networks and Conditional Gaussian Networks, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2001.
Sierra, B., Aportaciones Metodológicas a la Clasificación Supervisada, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 2000.
Lozano, J. A., Algoritmos Genéticos Aplicados a la Clasificación no Supervisada, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, 1998.

PROSPECTIVE STUDENTS
NEW STUDENTS
CURRENT STUDENTS
PROGRAMME OF STUDY
FINANCIAL ASSISTANCE & SCHOLARSHIPS
PUTRA SARJANA
OTHER INFORMATION

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THESIS SUBMISSION BEFORE THE COMMENCEMENT OF THE UPCOMING FIRST SEMESTER 2024/2025

Please be reminded that students who are planning to submit their thesis by the end of this semester need to submit a hard copy of the GS-14a form to the Deputy Dean (Graduate Studies) at the Faculty/School/Deputy Director at the Institute, Universiti Putra Malaysia at least three months before the intended thesis submission date. Therefore, we advise you to complete your GS-14a as soon as possible to prevent any unforeseen delays. The process of nominating the examination committee can only commence after submission of the GS-14a to the Faculty/School/Institute. The examination committee needs to be nominated and approved at the Faculty/School/Institute level and The University Graduate Studies Committee.

The deadline for thesis submission is October 14, 2024 . Students who meet this deadline are only required to pay the fee as stated below for the First Semester 2024/2025.

Please pay attention to the following:

Submission of the thesis along with the required documents should be submitted via email to [email protected] .
No extension is given after the stipulated deadline .
Full fees (for First Semester 2024/2025) are required after the deadline.
Thesis submission is not permitted if your registration status is ‘Probation’ (Not Satisfactory/TM), ‘Dropped’, ‘Defer’ or ‘Terminated’. You will need to take action on your registration status before you can submit your thesis.
Students who are already at their maximum semester of study must submit their theses by no later than September 20, 2024 . Students who do not meet this deadline will need to apply for extension of study (GS-13c form) through the student portal. Failure to do so shall result in a ‘Terminated (Exceeded Duration)’ status.

Guide to Thesis Preparation
Guidelines for Notice of Thesis Submission Process (GS-14a Form)
Guidelines & Checklists for the Appointment of the Thesis Examination Committee
Guidelines to Plagiarism Detection
Thesis Submission Requirements
Guidelines for Conducting of Final Examination (Viva Voce) Online
Tips on Viva Voce for Supervisor, Chairperson & Examiners
Requirement of Publication In Journal For PhD and Masters by Research Students
Guidelines for Submission of Thesis After Viva Voce
Final Bound Copy of Thesis (Master's & PhD)

Consent for Delayed Viva
Appeal Against Decision of Viva Voce
List of Corrections (Template)
Final Submission of Thesis (GS-16b)
Information on Publication During Candidature (GS-25)

Universiti Putra Malaysia, 43400 UPM Serdang ,Selangor

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Reimagining Design with Nature: ecological urbanism in Moscow

Reflective Essay
Published: 10 September 2019
Volume 1 , pages 233–247, ( 2019 )

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Brian Mark Evans ORCID: orcid.org/0000-0003-1420-1682 1

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The twenty-first century is the era when populations of cities will exceed rural communities for the first time in human history. The population growth of cities in many countries, including those in transition from planned to market economies, is putting considerable strain on ecological and natural resources. This paper examines four central issues: (a) the challenges and opportunities presented through working in jurisdictions where there are no official or established methods in place to guide regional, ecological and landscape planning and design; (b) the experience of the author’s practice—Gillespies LLP—in addressing these challenges using techniques and methods inspired by McHarg in Design with Nature in the Russian Federation in the first decade of the twenty-first century; (c) the augmentation of methods derived from Design with Nature in reference to innovations in technology since its publication and the contribution that the art of landscape painters can make to landscape analysis and interpretation; and (d) the application of this experience to the international competition and colloquium for the expansion of Moscow. The text concludes with a comment on how the application of this learning and methodological development to landscape and ecological planning and design was judged to be a central tenant of the winning design. Finally, a concluding section reflects on lessons learned and conclusions drawn.

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The politics of designing with nature: reflections from New Orleans and Dhaka

Zachary Lamb

Acknowledgements

The landscape team from Gillespies Glasgow Studio (Steve Nelson, Graeme Pert, Joanne Walker, Rory Wilson and Chris Swan) led by the author and all our collaborators in the Capital Cities Planning Group.

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Mackintosh School of Architecture, The Glasgow School of Art, 167 Renfrew Street, Glasgow, G3 6BY, UK

Brian Mark Evans

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Correspondence to Brian Mark Evans .

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Evans, B.M. Reimagining Design with Nature: ecological urbanism in Moscow. Socio Ecol Pract Res 1 , 233–247 (2019). https://doi.org/10.1007/s42532-019-00031-5

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Received : 17 March 2019

Accepted : 13 August 2019

Published : 10 September 2019

Issue Date : October 2019

DOI : https://doi.org/10.1007/s42532-019-00031-5

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