Assignments

• Number Theory : [ Homework , Assignment ]
• Encryption & Authentication : [ Homework , Assignment ]
• Information Theory & Pseudo-random Generator : [ Homework , Assignment ]
• DES, AES, Pseudo-Random Permutation Generator, Factoring and Block Cipher : [ Homework , Assignment ]
• RSA, ElGamal, Blum-Goldwasser, Jacobi symbol and least significant bit, Goldwasser-Micali : [ Homework , Assignment ]

Project : Web Interface Generator (WIG)

• The milestone of the WIG Project : [ PDF ]
• Scanner and Parser : [ JAR ]
• Symbol Table : [ JAR ]
• Type Check : [ JAR ]
• The whole project source code : [ TGZ ]
• The report : [ PDF ]

Project : Java Object-Oriented Subset ( JOOS )

• Our benchmark : [ JAR ]
• Grammar for i++, /* comment */ and for loop : [ JAR ]
• Dynamic stack limit : [ JAR ]
• Bytecode optimization : [ JAR ]

My group (#5) was :

• Gregory Pekofsky
• Eric Fong

Assignments

• Uninformed / Informed / Heuristics Search, Genetic algorihms, Constraint Satisfaction Problem : [ Homework , Assignment ]
• Adversarial search, Propositional logic and Predicate logic : [ Homework , Assignment ]
• Planning & Uncertainty : [ Homework , Assignment ]
• Expected Value, Utility, Markov Decision Processes, Monte Carlo algorithm : [ Homework , Assignment ]
• Neural network, Gradient descent, Bellman Equation, Reward structure : [ Homework , Assignment ]

Project : Knockabout game

• The rules : [ HTML ]
• The server : [ TGZ ]
• The random player : [ TGZ ]
• The Minimax player : [ TGZ ]
• The Monte Carlo player : [ TGZ ]
• The report of the project : [ PDF ]

Download the server, extract it and read the Readme file to understand how everything works.

Assignments

• Simplex Method : [ Homework , Assignment ]
• Duality Theorem : [ Homework , Assignment ]
• Revised Simplex Method : [ Homework , Assignment ]
• Network Simplex Method and Game Theory : [ Homework , Assignment ]

Project : Integer Programming vs. Expert Systems : An Experimental Comparison

Subject : Each group of 2 students have to present an article dealing with an application of the course

Article : Integer Programming vs Expert Systems : An Experimental Comparison, by Vasant Dhar and Nicky Ranganathan, from the Leonard N. School of Business, New York University

Report : [ PDF ]

Support of my presentation : [ PDF ]

As many people of my generation, I was keen on scuba-diving because of The Big Blue by Luc Besson.I did my first dive in 1992 in Bouillante, Guadeloupe. There was no equipment for me because I was too young. We were expected to stay at 5 m depth during 20 min. As I change color (I was blue with the cold), the instructor decided, in spite of me, to stop the dive before the end. During the 2 weeks I spent in Guadeloupe, I was in the water most of the time, watching and playing with fishes.

In 2000, I decided to get my first level : I went one week in Cerbere. With 2 dives per days, I succeeded and got it in 4 days at Cap Cerbere Scuba Diving Center. During this time, I had also the opportunity to dive during the night, it was so incredible and wonderful !!! When I got back home, i decided to acquire an equipment and to sign in a club.

In September 2000, as the second year at INSA seems cooler than the first, I signed in Groupe d’Activités Sous-Marines in Rouen and dived in the Channel near Dieppe.

In July 2003, I have completed my training and got the 2nd level at Nice in the L’Explo Sous Marine and the Poseidon clubs.

You can download the courses to prepare Level 2 :

• Regulation : [ PDF ]
• Tables : [ PDF ]
• + Datas : [ PDF , PDF ]
• Archimede : [ PDF ]
• Mariotte’s, Dalton’s and Henry’s Laws : [ PDF ]
• Accidents (barotraumatics, decompression) : [ PDF ]

Useful links :

• Courses, exercices, images, materials, signs, federation, etc… : My Lady Blue
• Forum, images : Dieppe Underwater Sports Club

At INSA, I was in the Students Union and I have been in charge of / or take part in :

• Writing the past examination papers for the first year student in 2000.
• Organising the Gala of the INSA of ROUEN’ 15th Birthday in PARIS in 2001.
• Archiving in 2001.
• Writing the Student’s Newspapers in 2001.
• Administrating the Students Union web site and server in 2002.
• Accounting in one of the 2 sites of the school in 2002.
• Designing and realising the accounting software in 2003.

You can download :

• Lan Map Shot installation documentation : [ PDF ]
• Inter Mapper installation documentation : [ PDF ]
• 3Com Network Supervisor installation documentation : [ PDF ]

Useful links :

• The Net-SNMP project (required by Cheops) : http://net-snmp.sourceforge.net/

English

You can download my essays about :

• Harry Potter : [ PDF ]
• Digital Technology in Filmmaking : [ PDF ]

Spanish

You can download my presentation about Alta-Velocidad : [ PDF ]

Practical sessions

You can download :

• Probabilities and caracter suits – Discrets variables : [ PDF , TGZ ]
• Little purely theorical problem – Continuous variables : [ PDF , TGZ ]
• K means and EM algorithms : [ PDF , TGZ ]
• Principles Components Analysis : [ PDF , TGZ ]
• K means algorithms : [ PDF , TGZ ]
• Ascending Hierarchic Classification : [ PDF , TGZ ]
• Clustering : Self-Organization Map, K-Means and Ascending Hierarchic Classification : [ PDF , TGZ ]
• Parzen Window & K Nearer Neighbors : [ PDF , TGZ ]
• Decision Trees : [ PDF , TGZ ]

Project : Network-based Intrusion Detection using Self-Organization Map

The project was a part of the Neurals and Bayes Networks project, so please click here.

Practical sessions

You can download :

• Conditional probabilities and Classification : [ TGZ ]
• Linear Regression : [ TGZ ]
• Linear Discrimination : [ TGZ ]
• Models comparison and regularisation : [ PDF , TGZ ]
• Flexible regression (polynomial, Nadaraya-Watson and Spline regressions) : [ PDF , TGZ ]
• Multi Layer Perceptron : [ PDF , TGZ ]
• Bayesien Network : Parameters and Structure Learning : [ PDF , TGZ ]

Project : Network-based Intrusion Detection using Neural Networks

Subject : Each group of 2 students had to implement an algorithm described by an article.

You can download :

• the article : Network-based Intrusion Detection using Neural Networks, by Alan Bivens, Chandrika Palagiri, Rasheda Smith, Boleslaw Szymanski and Mark Embrechts, from Rensselaer Polytechnic Institute : [ PDF ]
• the sources : [ TGZ ]
• the report : [ PDF ]
• the presentation : [ PDF ]

Realized with Florian Boitrel.