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DESS IRR Toulouse
Postgraduate Diploma in Artificial intelligence, Pattern recognition, Robotics
Alexandre Alapetite personal page 09/2002 - 09/2003

Introduction:

My fifth year of studies at the university was a Postgraduate Diploma (today called Master Pro in the European system) in Artificial intelligence, Pattern recognition, Robotics at the University Paul Sabatier of Toulouse III. It consists of 1 year of formation (7 months of studies, 3 to 6 months of industrial traineeship) after university in order to obtain the DESS IRR diploma.
My traineeship went on with a 3-year PhD.

Personal work:

• Traineeship in Risø   01/04/2003 - 30/09/2003
  • Multi-modal Web browser project

A full version of this page is available in French

Links:

• University Paul Sabatier of Toulouse III
  • University Paul Sabatier Toulouse III access map   (from Mapquest)

Detailed description of DESS IRR:

The main objective of this Diploma is to train engineers that are able to define and to use the hardware and software necessary for automated production (robots, control, inspection using image analysis, decision systems, etc.).

Details for the year 2002-2003:

• Upgrade in Informatics (76 hours)
  • Upgrade in UNIX
  • Upgrade in C
  • Upgrade in LISP
• Upgrade in Automatic systems (22 hours)
• Signal filtering (22 hours)
  • Upgrade in functions minimization
  • Fourier
  • Discreet Fourier
  • Invariant discreet linear systems
  • Finite impulsional answer filter
  • Infinite impulsional answer filter
  • Kalman’s filter
• Artificial intelligence (190 hours)
  • Calculation complexity
  • Languages for AI
  • Knowledge representation
  • Structured representations
  • Problem resolution
    • Research in a state space
    • Graphs
    • Planning
• Image processing and analysis (95 hours)
  • Introduction
    • Digital image - Analysis and synthesis
    • Acquisition
    • Applications
  • Modelling images-formation
  • Image enhancement and restoration
  • Analysis of images - morphological approach
  • Image description
    • Outlines approach
    • Region approach
    • Outline-region approach
    • Characterization
  • Pattern recognition in images
  • Interpretation
  • Methods for designing image analysis systems
• Pattern recognition (115 hours)
  • Bayesian decision for pattern recognition
  • Non-parametric methods
  • Data analysis
• Man-computer interface (70 hours)
  • Spoken man-computer communication
    • Introduction
    • Speech recognition methods
    • Speech synthesis
  • Automatic speech processing
    • Linguistic bases for processing
    • How to represent the meaning of sentences
    • Natural language processing and Prolog
    • Natural speech man-computer dialog
    • Applications
• Robotics (190 hours)
  • Sensors and activators in robotics
  • Robots architecture
  • Modelling
  • Mobile robots
  • Robotic perception
    • 3D Segmentation
    • 3D Modelling
    • 3D Interpretation
    • Reactive perception
  • Graphs and complexity
• Scientific English (24 hours)
  • Update in grammar main points
    • Modes
    • Prepositions
    • Idiomatic forms
  • Scientific language exercises
• Professional training (3 to 6 months)

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