Hello,

The next quarter will be offering two elective courses related to ongoing projects with Telefonica ADSL FFTY diagnosis, and the project Web4.0. They are especially interesting for fellows in the group.

Regards,

Carlos A.

Course Simulation Techniques Based on Multi-agent Systems for Network Management (4 credits, two cycles)

Objectives:

The continued evolution and growth of such networks and the increasing complexity of devices connected to them, makes their management by human operators is increasingly costly and complex. The course aims to provide an overview of current solutions to manage the uncertainty in the network management through the development of networks capable of automation tasks diagnosis, correction, optimization, configuration and protection. The course will focus on presenting simulation techniques that facilitate the modeling of such solutions. The detailed objectives of the course are:

• Understanding the problem of managing complex networks

• Knowing the principles of Cognitive Systems and Networks Autonomous.

• Learn techniques of multiagent systems simulation and its application to network management

• Knowing technologies that facilitate the management of uncertainty in networks of networks

• Learn practical applications used in industry for managing networks using intelligent agents.

Dates: Contact classes (15/02/12, 22/02/12, 29/02/12, 03/07/12, 14/03/12, 21/03/12, 25/04/12). Practices remotely final presentation in class.

Hours: Wednesday from 14.00 to 16.00

Assessment: Practice staff at the end of the course

Date of examination (if any): No exam

Program:

• T1. Introduction to the problem of network management.

  1. Current paradigms autonomous network management.

  2. Case study. Incident management in an operator. Multi-agent system architecture for network management.

• T2. Information consolidation techniques.

• T3. Bayesian techniques for managing uncertainty

• T4. Simulation Techniques for Agents with MASON.

• T5. Case study. Fault Management with Intelligent Agents in Imagenio.

• T6. Case study. Fault management in an Operator with Intelligent Agents.

• P1. Practical development of a simulation system

Course: question-answer Techologies (4 credits, two cycles)

Objectives:

The new voice-based mobile interfaces pose a technological challenge for the understanding of the information available on the Internet, so that it can respond to questions from users. The course will present the latest advances in question-answer, now popularized by programs such as Siri, presenting the technological base of these systems, combining theoretical and practical orientation. The specific objectives of the course are:

• Understanding the problem of finding information on the Internet

• Enter the technologies, algorithms and system tools / response Internet

• Learn to develop a basic set of questions and answers.

you miss: Class attendance (02/14/12, 21/02/12, 28/02/12, 06/03/12, 13/03/12, 20/03/12, 4/24/12). Practices remotely final presentation in class.

Hours: Tuesday from 14:00 to 16:00

Assessment: Practice staff at the end of the course

Date of examination (if any): No exam

Program:

• T1. Introduction to the question-answering systems. Architecture and fundamentals.

• T2. Analysis of feelings and emotions.

• T3. Information extraction technologies in structured and unstructured sources.

• T4. Personal agents.

• T5. Lexical and grammatical resources for information retrieval.

• T6. Developing a QA System

• P1. Practice developing a QA system.