Stanford University M.S. and Ph.D. Program
| MATH 220A CME 306 CME 302 |
- Partial Differential Equations
of Applied Maths. - Numerical Solution of PDE - Numerical Linear Algebra |
A A A+ |
| CME 308 MS&E 335 MS&E 313 CME 304 CME 334 STATS 316 |
- Stochastic Methods in Engineering - Queuing Systems and Processing Networks - Vector Space Optimization - Numerical Optimization - Advanced Methods in Numerical Optimization - Stochastic Processes on Graphs |
A CR CR B+ A+ CR |
| CME 218 CS 261 CS 365 MS&E 319 MS&E 319 CS 369C CS 359D |
- Introduction to Combinatorics and its Applications - Optimization and Algorithmic Paradigms - Randomized Algorithms - Approximation Algorithms for Optimization Problems - Topics in Network Algorithms - Metric Embeddings and Algorithmic Applications - Hardness of Approximation |
A+ A+ A A A CR CR |
|
MS&E 337 MS&E 336 CS 364B MS&E 336 ECON 291 |
- Information Networks - Market Models for Networked Systems - Topics in Algorithmic Game Theory - Dynamics and Learning in Games - Social and Economic Networks |
A A CR CR CR |
|
CME 500 CS 531 CME 444 CME 300 |
- Computational and Mathematical Engineering - Numerical Analysis / Scientific Computing - ICME Advice - Departmental Seminar Series |
CR CR CR CR |
|
CME CS MATH STATS MS&E ECON |
Computational and Mathematical Engineering (institute) Computer Science (department) Mathematics (department) Statistics (department) Management Science and Engineering (department) Economics (department) |
Grades are either letter grades or credit (CR) / non-credit (NCR)
Graduate courses taken during the 2001-2002 Academic Year at Supelec and the University of Metz
Theory of Signal Processing
Basic tools
Statistical Signal Processing
Methods in Signal Processing
Digital Filters
Time / Frequency transformations
Spectral Analysis
Pattern Recognition
Digital Sound and Image Processing
Speech Processing
Image Processing
Introduction to Segmentation and Morphological Tools
Mini and Micro-informatics
Signal Processing Applications
Radar Signal
Medical Imaging
Digital TV and Sound
Hi-quality sound encoding
Work Opportunities for Signal Processing Experts
Electives
Tools for Partial Differential Equations (University of Metz)
Control and Non-Linear Systems (University of Metz)
Debates 1 (English course)
Debates 2 (English course)
Laboratory Works
Training Period in Industry
At Groupe PSA Peugeot-Citroën (Vélizy, FR) 16 weeks
Research engineer position on statistical modeling of car-production costs
Study of correlations between economic and technical parameters on car’s electric system
The final goal was to assist PSA’s buyers when negotiating with suppliers, and to
spot abnormal supplier behavior such as dumping
Mathematical and Physical Sciences Courses taken since 1995
Lycée Privé Sainte-Geneviève (1995-1998)
Mathematics (10 hours a week for a total of 78 weeks)
Topology
Real Analysis
Abstract Algebra (Group, Ring and Field Theory)
Differential Equations
Linear Algebra
Differential Geometry
Multi-variable Analysis
Foundations of Mathematical Logic
Physics (8.5 hours a week for a total of 78 weeks)
Solving Mathematical, Physical or Chemistry problems using Mapple (2 hours a week for a total of 78 weeks)
Ecole Supérieure d’Electricité (Supelec) (1998-2002)
Algorithms and Data Structures
University of Metz
Tools for partial Differential Equations
Thermodynamics
Newtonian Mechanics
Electrodynamics
Wave-like Phenomena
Solid Mechanics
Fluid Mechanics
Probabilities
Statistics
Fields and Propagation
Quantum Physics
Deterministic Signal Processing
Linear Systems Analysis
Artificial Intelligence and Neurons
Scientific Computing
Nuclear Physics, Relativity and Plasmas
Optics and Photonics
Numerical Analysis and Optimization
Solid-State Physics
Information Theory and Coding
Stochastic Signal Processing
Automatic Control
Statistical Signal Processing
Time / Frequency transformations
Spectral Analysis
Control and Non-Linear Systems