Introduction	Research assignments
Research areas	Thesis project and Diploma of Advanced Studies
Graduate courses Invited Courses 2006-2007 Roberta Annicchiarico Frank Dignum Julian Padget German Rigau Cristina Urdiales	Admission and administrative issues
Professors Visiting Professors	Thesis

Introduction

• Coursework: the student takes graduate courses covering her/his main subjects of interest. Each course is assigned a number of credits and each student completes at least 20 credits (1 credit is equivalent to 10 lecture hours). Typically, this phase is completed during the first year. Courses are organized in two terms. To complete 20 credits, students must usually take five to six courses. Note: Please be sure to speak with an advisor prior to making any academic decisions.

 
• Project: the student carries out one or more supervised research assignments to obtain 6 credits. At the end of this phase, each student presents a thesis project  approved by an evaluation committe. The thesis project does not need to be related to the research assignments performed in this phase. Typically, this phase is completed during the second year.

 
• Thesis: The student performs the research related to the presented thesis project under the supervision of a thesis advisor. Finally, the research leads to the defense of a thesis and obtaining the Ph.D. degree.

Research areas

Learning/Adaptative Systems:

Supervised, unsupervised and by reinforcement machine learning techniques. Agents and Multi-agent systems. Negotiation. Electronic Commerce.

Natural Language Processing:

The main tasks related to the majority of Natural Language Processing systems are studied: Parsing, Logic Based Systems, Grammar, Statistical Approaches, Machine Learning Based Approaches. Information Extraction, Automatic Summarization, Management of Textual Information.

Reasoning:

A theoretical and practical overview of the reasoning techniques used in AI.

Soft-Computing:

A general overview of the different computational approaches that conform Soft-Computing, such as: Fuzzy Systems, Neural Networks and Evolutionary Algorithms.

Graduate courses

The following table summarizes the organization of the program, including all available courses for each research area. During the first term, students are expected to take courses from different research areas, thus acquiring some degree of multidisciplinarity and being able to obtain a broad view of the main research topics in the Program.

Due to the convergence process most of these courses are shared with those of the Master on Artificial Intelligence.

You can get academic information about the Artificial Intelligence Programme at from the Doctorate Office.

All courses have 4 credits except for the Seminar on AI Advanced Topics that runs all the year and includes lectures by visiting professors. Most of the Catalan AI Research groupsparticipate in this Program. The Foundational courses are meant as an introduction to the basic topics in this area. During the second term, students typically concentrate on one or two research areas.
 

	RESEARCH AREAS		FOUNDATIONS		LEARNING/ ADAPTATIVE SYSTEMS		NATURAL LANGUAGE PROCESSING		REASONING		SOFT-COMPUTING
	1st TERM (Courses)		Heuristic Search  Avanced Programming Techniques in AI		Machine learning and Knowledge Acquisition Symbolic Learning		Fundamentals of Computational Linguistics Empirical Methods for NLP		Logics for AI Approximate Reasoning Techniques		Intelligent Data Analysis and Data Mining  Introduction to Neural Networks
	2nd TERM (Courses)		Seminar on  AI Advanced Topics		Learning in Agents and Multi-Agent Systems		Advanced Topics in NLP		Methods for Automated Reasoning Non Classical Logics for AI		Advanced Topics in Neural Networks

Research assignments

Here you can found the  list of research assignments for the AI

Thesis project and Diploma of Advanced Studies

To present a thesis project, the following requirements must be satisfied:

• To complete at least 20 credits in graduate courses
• To complete at least 6 credits in research projects
• To register the thesis project and have the acceptance of the academic committee for the presentation of the project

The candidate must submit a report describing the state-of-the-art in the subject of the thesis and the goals pursued, in view of this state-of-the-art. The project is evaluated in a public presentation by an ad-hoc three-member committee nominated for this evaluation.

After the approval of the project thesis, the student also obtains the Diploma of Advanced Studies (DEA).

The Diploma of Advanced Studies can also be obtained by having 20 credits in graduated courses and 12 credits in research projects. In this case, a committee nominated by the academic committee evaluates the student's record. The student may also be asked to make an oral presentation on her/his research activities.

Here you can find some Ph D proposals  that are active now.
 

Catalan Research Groups

The Ph.D. Program in Artificial Intelligence is an institutional member of the Associació Catalana d'Intel.ligència Artificial.

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Academic committee

• Ulises Cortés Program Coordinator
• Horacio Rodríguez
• Enric Celaya
• Angela Nebot
• Enric Plaza (from October 2004)

Admission and administrative issues

For the admission in Ph.D. program, candidates must first submit an application form  and their resume. The academic committe evaluates each application and decides whether the candidate can be admitted to the programme. The decision is taken by considering the degree of the candidate and her/his resume. If admitted, the committe also assigns a tutor to the candidate, according to the research area indicated in the application form.

Students willing to apply for the admission to the Ph.D. program or for the enrollment in some of the courses must contact the administration staff (see below).

Students willing to obtain an European Ph. D. title be aware of the following information.

Marie Curie Fellowships information. 

Mission Statement.
 

Program Coordination: Ulises Cortés Universitat Politècnica de Catalunya Campus Nord. Omega 135. Jordi Girona 1-3. 08034 Barcelona ia@lsi.upc.edu Phone: +34-93-4137836 Fax: +34-93-4137960

Program Administration: Mercè Juan Universitat Politècnica de Catalunya Campus Nord. Omega. Jordi Girona 1-3. 08034 Barcelona merce@lsi.upc.edu Phone: +34-93-4137836 Fax: +34-93-4137960

Funding

Since the academic course of 2002-2003 the Artificial Intelligence PhD Programme has been awarded with a Mention of Qualty  by the ANECA.

Since the academic course 2001-2002 the Artificial Intelligence PhD Programme has been partially funded by: 

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Doctorat Programs: General Information | Software Program | Artificial Intelligence Program To apply | Financial Support | Information for Current Students (in catalan)

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