Education / Classes preparatoires
2023 - 2025CPGE PCSI / PC
Lycee Deodat de Severac, Toulouse - intensive mathematics and physics
Programme
- Institution
- Lycee Deodat de Severac, Toulouse
- Programme
- CPGE, PCSI then PC
- Period
- 2023 - 2025
- Content
- Mathematics, physics, chemistry, engineering science, computer science
- Outcome
- Admitted to the French engineering entrance examinations (Centrale, Mines-Telecom, CCINP)
Class results, as issued
- Computer Science
- Ranked 1 / 43
- Mathematics
- Ranked 6 / 43
- Cohort
- 43 students
01
What the programme is
Classes preparatoires aux grandes ecoles are two years of full-time mathematics and physics between secondary school and an engineering school, ending in competitive written and oral entrance examinations. PCSI is the first year, physics and chemistry oriented; PC is the second.
- MathematicsAnalysis, linear algebra, differential equations, series, probability, and the habit of proving rather than asserting.
- PhysicsMechanics, thermodynamics, electromagnetism, wave optics, electrical circuits, treated analytically.
- ChemistryGeneral and organic chemistry, including electrochemistry.
- Engineering scienceModelling of mechanical and electrical systems, and control.
- Computer scienceAlgorithms, data structures and numerical methods.
02
Results
- Class rankingsFirst of 43 in Computer Science, sixth of 43 in Mathematics, as issued.
- Entrance examinationsAdmitted to the Centrale, Mines-Telecom and CCINP competitive examinations.
- OlympiadsParticipant in the French Physics Olympiads.
03
What it is worth in RF work
RF problems approached as physics with a closed form before a simulation. Three places it shows:
- Analytical firstA line impedance, an array factor or a phase error budget is computed by hand before a solver is opened, so the simulation has something to disagree with.
- Linear algebraThe calibration model of a phased array is a complex matrix inverse with a conditioning problem. That is preparatory-class linear algebra with physical units attached.
- Error reasoningOrders of magnitude, dominant terms and uncertainty are the habit the examinations train, and they are what makes a measurement believable.
Where this showsAetherArray: analytical model and error budgetTeaching electromagnetics