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INFORMATION
TECHNOLOGIES» VERSIÓ EN CATALÀ » VERSIÓN EN ESPAÑOL
[
See also: Admission
to doctorate programmes at the University of Girona |
Regulations
governing academic arrangements for the doctoral programmes at the University of
Girona ]
Options:
1. Agent-Based Electronic Commerce
2. Computer Networks and Distance Education
3. Robotics and Computer Vision
4. Expert Supervision and Control
Department / Institute
Department of Electronics, Computing and Automation (UdG)
Director
Dr. Josep Vehí
Presentation:
This doctorate programme will provide scientific training for engineers and
graduates within a specialised profile of research in information technologies:
Artificial Intelligence, electronic commerce, communications, computer vision,
automatic control, computer graphics and industrial robotics. This research
corresponds to work carried out by research groups from the Departments of
Electronics, Computing and Automation Technology at the University of Girona.
Objectives
To widen scientific horizons and encourage an investigative mentality in
post graduate students towards fields of research relevant to Information
Technology and Communications.
Structure
The doctorate programme consists of 4 options, corresponding to the research
areas of the supporting groups:
1. Agent-Based Electronic Commerce
2. Computer Networks and Distance Education
3. Robotics and Computer Vision
4. Expert Supervision and Control
For each of the options there will be courses given by the research groups
themselves, along with others given by other groups who work closely with them,
from within the University of Girona as well as from other universities within
the same area.
Specific Entrance Requirements
Industrial Engineering, Automation Engineering and Industrial Electronics,
Telecommunications Engineering, Electronic Engineering, Computer Engineering,
Degree in Computer Science or other higher qualifications in Science and
Technology.
Number of places available for each option
1. Agent-Based Electronic Commerce: maximum 10 places
2. Computer Networks and Distance Education: maximum 10 places
3. Robotics and Computer Vision: maximum 10 places
4. Expert Supervision and Control: maximum 10 places
Tutor Committee
Dr. Josep Vehí
Dr. Beatriz López
Dr. Ningsu Luo
Dr. José Luís Marzo
Dr. Miguel Ángel Sáinz
Dr. Joaquim Salvi
Research project corresponding to 2nd period of the doctorate programme
One research project worth 12 credits.
Programme Secretary
Mar Ortega
Departament d’Electrònica, Informàtica i Automàtica
Campus Montilivi. Edifici PII
E-17071. Girona. España.
Tel: +34 972 41 8976
Fax: +34 972 41 8098
secre2@eia.udg.es
http://eia.udg.es/it
[ Programme ]
Option 1:
Agent-Based Electronic Commerce
Objectives
To train researchers in the field of Artificial Intelligence specialising in
techniques for developing applications in electronic commerce.
This is a multidisciplinary option, where we will deal with the infrastructure
of the Internet, electronic commerce and, above all, methods in Artificial
Intelligence. This combination will allow the student to acquire the knowledge
necessary for designing and constructing agent systems for electronic commerce.
The Internet provides the technological base upon which the agents have to
function. Knowledge of electronic commerce provides the business and legal
framework in which the agents must work. Finally, Artificial Intelligence gives
the agents the capacity to exploit intelligently the information they have at
their disposal in order to manage their business strategy in the most
advantageous way.
| Course/seminar | Credits | Content | Type |
|---|---|---|---|
| Agents 0 | 4 | Foundation | Optional |
| Agents 1 | 3 | Foundation | Optional |
| Techniques in Automatic Learning for Electronic Commerce | 4 | Foundation | Optional |
| High Performance Networks | 4 | Foundation | Optional |
[ Programme ]
Option 2:
Computer Networks and Distance Learning
Objectives
There are two objectives in this option with a great deal in common and
differing only in that one deals with computer networks while the other deals
with the use of those networks in the process of teaching and learning:
(i) Training researchers in the management of high velocity communication
networks. Emphasis will be laid on the new aspects of control and traffic
management that have arisen in high velocity networks. Researchers will be
trained in the different protocols and applications that these networks support.
(ii) Training researchers in applying Internet technology in the field of
education. Training will be given in aspects related to the use of agents in
order to include adaptability in these platforms. The web environment and the
performance of the distributed applications based on Internet will be discussed
thoroughly.
| Course/seminar | Credits | Content | Type |
|---|---|---|---|
| High Performance Networks | 4 | Foundation | Optional |
| Advanced Internet Services Applied to Teaching | 4 | Foundation | Optional |
| Network Management and Control Technologies | 4 | Foundation | Optional |
| Monte Carlo Techniques | 3 | Foundation | Optional |
| Agents 0 | 4 | Foundation | Optional |
[ Programme ]
Option 3: Robotics and computer vision
Objectives
Acquiring the knowledge necessary to take the right decisions when faced
with a problem of inspection via computer vision: segmentation strategies,
recognising objects, acquiring the shape and volume of objects and scene
interpretation. Getting to know the different ways of giving moving robots a
certain degree of intelligence and the possibilities of teleoperation that the
Internet offers.
| Course/seminar | Credits | Content | Type |
|---|---|---|---|
| Autonomous robots | 4 | Foundation | Optional |
| Segmentation and Scene Interpretation | 4 | Foundation | Optional |
| Visual perception | 4 | Foundation | Optional |
| Real-time Signal Processing | 4 | Foundation | Optional |
| Agents 0 | 4 | Foundation | Optional |
| Knowledge-based Expert Supervision | 4 | Foundation | Optional |
[ Programme ]
Option 4:
Expert Supervision and Control
Objectives
This option focuses on Expert Supervision and Control within the Information
Technology doctorate programme. It includes different courses and seminars with
the objective of providing the student with the basic and the specialist tools
with which to study, develop and research advanced techniques in supervision and
control. With this in mind, the goals are:
- To train specialists in the various fields of supervision and control of
industrial processes, robotics, automation, communication, etc. both in theory
and in practice.
- To offer the student a global view of some of the most advanced techniques in
information technology. To promote an all-inclusive training for researchers in
those areas of research and development related to information technology.
- To stimulate research in completely innovative areas within the scope of the
applications of supervision and control techniques in various industrial
processes as well as in non-conventional processes such as, for example,
flexible structures of buildings and bridges, etc.
| Course/seminar | Credits | Content | Type |
|---|---|---|---|
| Modal Intervals | 4 | Foundation | Optional |
| Knowledge-based Expert Supervision | 4 | Foundation | Optional |
| Supervision and Control based on Semi-qualitative Models | 4 | Foundation | Optional |
| Advanced Techniques in Control and Supervision | 4 | Foundation | Optional |
| Agents 0 | 4 | Foundation | Optional |
Course
Agents 0
Included in the following option(s):
Agent-based Electronic Commerce / Expert Supervision and Control / Computer
Networks and Distance Education / Robotics and Computer Vision
Content:
foundation
Type:
optional
Number of credits:
4
Description:
The concept of intelligent agent. Agents able to reason. Adaptive agents.
Interface agents. Architecture of agents: BDI architectures, deliberative architectures, reactive architectures, Hybrid /
level-based architectures.
Agent programming paradigms
Multi-agent systems and agent grouping: communication protocols (languages,
ontologies, and standards), interaction protocols (co-ordination and
co-operation).
Mobile agents: requirements, types, security, ability to inter-operate.
Processes of decision, planning and search algorithms in multi-agent systems.
Learning in multi-agent systems.
Physical agents.
Professor(s):
Dr. Josep Lluís de la Rosa (UdG), Dr. Beatriz López (UdG)
Term:
November - April
Time & day:
To be arranged
Course
Agents 1
Included in the following option(s):
Agent-based Electronic Commerce
Content:
foundation
Type:
optional
Number of credits:
3
Description:
Revision of the concept of agent. Description. Type of architecture.
Principle theories on agents. Languages.
Economic and multi-agent models: auctions and markets. Negotiation.
Argumentation in multi-agent systems.
Electronic institutions: specification of multi-agent systems. Examples of
institutions: Auction houses, virtual agent groups, business house.
Professor(s):
Dr Josep Lluís de la Rosa (UdG) and Dr Carlos Sierra (IIIA)
Term:
first term
Time & day:
To be arranged
Course
Automatic Learning Techniques for
Electronic Commerce
Included in the following option(s):
Agent-based Electronic Commerce
Content:
foundation
Type:
optional
Number of credits:
4
Description:
Block 1:
Data mining: basic concepts of data mining. Automatic classification systems.
Database structures. Prediction and forecasting.
Preparing Data
Classification: decision trees and neuronal networks.
Clustering
Chaos-based reasoning.
Bayesian networks.
Evaluation of models.
Block 2:
Models of Users (profiling): explicit and implicit knowledge of users.
Recommending systems: concepts.
Collaborative filtering.
Agent-based systems in collaborative filtering.
Professor(s):
Dr Beatriz López (UdG) and Dr Ramón Sangüesa (UPC)
Term:
November - April
Time & day:
To be arranged
Course
High Performance Networks
Included in the following option(s):
Agent-based Electronic Commerce/ Computer Networks and Distance Education
Content:
foundation
Type:
optional
Number of credits:
4
Description:
1. Network service quality
2. Service quality in IP networks
3. New Internet protocols
3.1 End to end Protocols
3.2 Node to node Protocols
4. Network performance.
5. New technologies in data transport
5.1 Optic Fibre and WDM technologies
5.2 Mobility in IP networks
5.3 ATM, SONET, and other high velocity technologies
Professor(s):
Dr. Josep Lluís Marzo (UdG), Dr. Teo Jové (UdG)
Term:
December – February
Time & day:
To be arranged
Course
Advanced Internet Services Applied to
Education
Included in the following option(s):
Computer Networks and Distance Education
Content:
foundation
Type:
optional
Number of credits:
4
Description:
• Distance education platforms
• Multimedia didactic materials (planning content and selecting media)
• Learning styles
• Adaptive hypermedia systems
• Collaborative working environments
Professor(s):
Dr. Ramón Fabregat (UdG), Dr. José Luís Marzo (UdG)
Term:
February - April
Time & day:
To be arranged
Course
Network Management and Control
Technologies
Included in the following option(s):
Computer Networks and Distance Education
Content:
foundation
Type:
optional
Number of credits:
4
Description:
Management mechanisms in centralised networks (TMN)
Management mechanisms in decentralised networks
Management mechanisms in agent-based networks
Traffic engineering
- Protocols
- MIB / MIP
- SNMP / COPS
Protocols with service quality
- MPLS
- Diffserv / Intserv
Professor(s):
Dr. Teo Jové (UdG), Dr. Ramón Fabregat (UdG)
Term:
second term
Time & day:
To be arranged
Course
Monte Carlo Techniques
Included in the following option(s):
Computer Networks and Distance Education
Content:
foundation
Type:
optional
Number of credits:
3
Description:
Generation of random numbers. Random variables. Integrating Monte Carlo and
variance reduction techniques. Random passing techniques for solving a lineal
system of equations.
Random passing techniques for solving integral equations. The Metropolis method.
Quasi-Monte Carlo techniques. Applications.
Professor(s):
Dr Mateu Sbert (UdG)
Term:
To be arranged
Time & day:
Thursday from 12:00 to 13:30 h (2 or 3 seminars per month)
Course:
Autonomous Robots
Included in the following option(s):
Robotics and Computer Vision
Content:
foundation
Type:
optional
Number of credits:
4
Description:
1. Introduction
2. Perception. Compasses, Mechanical, Optic Fibre and Ring Laser Gyroscopes, DVL,
GPS.
3. Modelling. Cinematics, Dynamics, Identification, practical example.
4. Control Architecture. What is Control Architecture? Classification, reactive
architectures, Learning applied to control architecture.
5. HW Support for real time control
Professor(s):
Dr. Pere Ridao (UdG)
Term:
second term
Time & day:
To be arranged
Course:
Segmentation and scene interpretation
Included in the following option(s):
Robotics and Computer Vision
Content:
foundation
Type:
optional
Number of credits:
4
Description:
1. Image Segmentation. Region-based, contour-based and cluster-based
methods.
2. Image Segmentation. Co-operative methods.
3. Scene Interpretation. Introduction and State-of-Art.
4. Image characterisation: colour, texture and form.
5. Classifiers.
6. Introduction to “Statistical Pattern Recognition”
7. Applications 1. Analysis of medical images.
8. Applications 2. Accessing an image database through contents.
Professor(s):
Dr. Xavier Cufí (UdG), Dr. Jordi Freixenet (UdG)
Term:
second term
Time & day:
To be arranged
Course:
Visual Perception
Included in the following option(s):
Robotics and Computer Vision
Content:
foundation
Type:
optional
Number of credits:
4
Description:
1.- Introduction
1.1.- Human vision and computer vision
1.2.- Applications
1.3.- Commercial Systems
2.- Obtaining 3D information
2.1.- The principle of triangulation
2.2.- Calibrating cameras
2.3.- State-of-Art in calibration
2.4.- Scanning system of a laser plane
2.5.- Stereovision
3.- Passive and active vision
3.1.- Stereovision and structured light
3.2.- The problem of correspondence
3.3.- Projecting coded templates
4.- Epipolar Geometry
4.1.- Geometric principle
4.2.- Estimating the foundation matrix
5.- Bi-dimensional Transformations
5.1.- Geometric Introduction
5.2.- Estimating a homograph
5.3.- Robust estimation methods
5.4.- Applications in the detection of movement
Professor(s):
Dr. Joaquim Salvi (UdG), Dr. Rafael Garcia (UdG) and Dr. Emanuele Trucco
(UK)
Term:
second term
Time & day:
To be arranged
Course:
Real-Time Signal Processing
Included in the following option(s):
Robotics and Computer Vision
Content:
foundation
Type:
optional
Number of credits:
4
Description:
1- Programmable digital and analog devices.
2- Programming languages VHDL and VHDL-A.
3- Specific commercial architectures.
4- Application-based architectures.
5- Applications in the field of control.
6- Applications in the field of image processing.
7- Conclusions and future lines of research.
Professor(s):
Dr. Joan Martí (UdG), Dr. Joan Batlle (UdG)
Term:
second term
Time & day:
To be arranged
Course
Knowledge-based Expert Supervision
Included in the following option(s):
Expert Supervision and Control
Content:
foundation
Type:
optional
Number of credits:
4
Description:
Introduction to supervision; Knowledge-based error detection. Qualitative
modeling: ALCMEN, QTF, QSIM, etc. Information abstraction and qualitative
representation of signals. Chaos-based reasoning for supervision. Qualitative
evaluation of situations: representing situations and decisions.
Professor(s):
Dr Joan Colomer (UdG), Dr Joaquim Meléndez (UdG), Dr Marcel Staroswiecki (EUDIL)
Term:
second term
Time & day:
Tuesdays and Thursdays from 16:00 to 18:00h
Course
Modal Intervals
Included in the following option(s):
Expert Supervision and Control
Content:
foundation
Type:
optional
Number of credits:
4
Description:
Classical interval analysis; module interval theory; extension of continuous
functions; optimising rational modal functions; applying module interval theory
to systems modelling.
Professor(s):
Dr Miguel Ángel Sáinz (UdG), Dr Ernest Gardeñes (UAB)
Term:
first term
Time & day:
Wednesday and Thursday, from 15:00 to 17:00 h
Course
Supervision and Control based on
Semi-qualitative Models
Included in the following option(s):
Expert Supervision and Control
Content:
foundation
Type:
optional
Number of credits:
4
Description:
Making models of uncertainty systems. Interval models. Robustness of bounded
uncertainty systems. Parametric methods of analysis and design of robustness.
Design based on interval models. Simulation of interval models. Qualitative
simulators. Semi-qualitative simulators. Generating exact envelopes. Generating
envelopes with bounded error. Sliding windows. Error detection. Physical
redundancy. Analytical redundancy. Application of surroundings to error
detection. Diagnosing errors.
Professor(s):
Dr Josep Vehí (UdG), Dr Joaquim Armengol (UdG), Dr Michael Kieffer
(Switzerland)
Term:
second term
Time & day:
Monday and Wednesday, from 9:00 to 11:00 h
Seminar
Advanced techniques of Control and
Supervision
Included in the following option(s):
Expert Supervision and Control
Content:
foundation
Type:
optional
Number of credits:
4
Description:
Modelling dynamic processes. Smart sensoring. Analysis of systems with
parametric uncertainty and non-modelled dynamics. Optimisation. Designing
advanced control systems: robust control, sliding mode control, predictive
control, adaptive control. Methods for detecting and diagnosing errors in
supervision and control of processes. Applications of integrated design of
processes.
Professor(s):
Dr Ningsu Luo (UdG) and Dr José Rodellar (UPC)
Term:
first term
Time & day:
Tuesday and Thursday, from 10:00 to 12:00 h
[ Principi ]
PROGRAMES MARC:
- Tecnologies de la Informació
- Lletres
- Ciències Experimentals i de la Salut
- Psicologia i Qualitat de Vida
PROGRAMES INTERUNIVERSITARIS:
- Ensenyament i Aprenentatge de les Arts Visuals
- Química Teòrica i Computacional
- Organització i Administració d'Empreses
- Projectes d’Innovació Tecnològica en l’Enginyeria de Producte i Procés
CURSOS DE DOCTORAT INTERUNIVERSITARI DE L'INSTITUT JOAN LLUÍS VIVES
NORMATIVES:
- Normativa d'ordenació acadèmica dels programes de doctorat de la UdG
- Funcionament del tribunal per a l'obtenció del diploma d'estudis avançats (DEA)
- Normativa per a l'obtenció del doctorat europeu
- Orientacions per a la presentació de tesis doctorals com a compendi de publicacions
Servei de Gestió Acadèmica i Estudiants, 2002 · Darrera actualització: setembre 2002 · Comentaris: fanton@pas.udg.es
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