Teaching

Informations on the Artificial Intelligence and Machine Learning (IAAA) track of the computer science at AMU.

Structured learning for natural language processing (PSTALN)

• 2019- (27 hours)
• Aix-Marseille Université
• MSc level (M2)
• NLP, practicals in pytorch
• course material

Python programming

• 2019- (45 hours)
• Aix-Marseille Université
• BSc level (L1)
• Basics of programming in Python

Web Programming

• 2019, 2012-2015 (30 hours, 68 hours)
• Aix-Marseille Université
• BSc level (L2, L3)
• javascript, node.js, html5

Past classes

Language theory

• 2011-2015 (50 hours)
• Aix-Marseille Université
• BSc level (L2)
• Finite State Automata and regular languages

Programming methodology

• 2011-2014 (38 hours)
• Aix-Marseille Université
• MSc level (M2)
• UML Diagrams, Design patterns, Methodology

C programming

• 2010-2015 (264 hours)
• Aix-Marseille Université
• BSc level (L1)
• Data structures, pointers, linked lists, sorting algorithms

Natural Language Processing

• 2010-2015 (135 hours)
• Aix-Marseille Université
• MSc level (M1)
• Statistical methods, methodology and evaluation, machine Learning, tagging, machine translation, summarization

Computer tools

• 2010-2011, 2014 (30 hours)
• Aix-Marseille Université
• BSc level (L1)
• Word processing, speardsheets, presentations, latex, bash, preparation for C2i

XML

• 2010-2011 (33 hours)
• Aix-Marseille Université
• Msc level (M1)
• DTD, schemas, stylesheets, java API

Data compression

• 2005-2006 (16 hours)
• University of Avignon
• MSc level (M2)
• Ultra-low bandwidth speech compression using a phoneme decoder and speech synthesis

Networking

• 2003-2004 (80 hours)
• University of Avignon
• BSc level (L3)
• Tutorials: RJ45 cables, network traffic analysis, CISCO routers

Office computing tutorials

• 2000 (60 hours)
• University of Avignon
• BSc level (L1)
• MS Office tutorials for biology and literature students.