The document provides information on curricula and programs at Polytech Lyon, a polytechnical engineering school. It summarizes that Polytech Lyon has over 14,000 students across 85 majors in 5 scientific areas. It then provides more detailed information on specific majors like Mechanical Engineering, Modeling and Applied Mathematics, Materials Sciences, Production and Industrial Engineering, Information Technology, and Biomedical Engineering. Each major's goals, strengths, and available facilities are described. Student demographics are also summarized, showing the percentages of granted students, foreign students, and gender distribution. The curriculum organization across years is outlined as well.

1. Curricula in Polytech Lyon
(Polytechnical Engineering School of Lyon 1)
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2. The POLYTECH CONSORTIUM
Over 14 000 students
85 Majors grouped in 5 big scientifc areas
Biotechnologies, agroalimentaire, sécurité, santé
Génie électrique, informatique industrielle, électronique
Environnement, aménagement, génie civil
Informatique, modélisation, gestion
Mécanique, énergie, matériaux
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3. Polytech Lyon (january 2014)
• 600 students in 6 Vanguard majors
• 80 studentss in 3 master curricula
• 200 students in preparatory cursus
• 47 ‘teachers affected’.
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4. Mechanical Engineering
Goals:
To train engineers with specific competences either in fluid
mechanics and energetics, or in solid and structure mechanics,
for: Conception, modeling and computing research and
development consultancy.
Strong points :
Multidisciplinary training in keeping with the great variety of
job opportunities in the mechanical industry, with special
emphasis on modeling and the numerical simulation of
industrial problems.
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5. Mechanical Engineering
Facilities :
Polytech own equipped lab-work rooms and
access to the experimental platforms of the
University research laboratories
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6. Modeling and Applied
Mathematics
Goals :
To train engineers with specific competences in :
the modeling of complex problems, the understanding of their
fundamental aspects, the devising of the numerical implementation
of these solutions
Strong points :
Multidisciplinary training covering a wide scope of applied
mathematics and providing a good command of IT, particularly in
connection with parallel architectures, statistics and probabilities,
numerical analysis, computer science.
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7. Modeling and Applied
Mathematics
Facilities :
Available at CDCSP (Centre pour
leDéveloppement du Calcul Scientifique
Parallèle)
Fourth and fifth year students are provided
with lap -top computers
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8. Materials Sciences
Goals:
To train engineers with specific competences in :
Materials sciences
Surface sciences (their properties, treatment and modification)
Computer aided design and modeling
Strong points :
Multidisciplinary training in materials sciences and surface
engineering, multi-materials and composite materials, formulation,
implementation and transformation of materials (polymers, metals,
ceramics, and biomaterials), numerical methods, coating and surface
treatment.
Access to a double diploma : Engineer diploma and MS
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9. Materials Sciences
Facilities :
An IT platformof 30 computers distributed between Lyon
‘Atelier Inter Productique’ (AIP) and Polytech, with 3D design
and simulation software.
Instruments for materials structure and surface
characterization :
electronic microscopes, near field microscopy, X-ray diffusion
and diffraction...
Devices for materials and surface implementation :
instrumented extruders, surface treatment by plasma....
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10. Goals:
To train engineers with multidisciplinary technical competences in a
variety of domains associated with production :
mechanics, hydraulics and electronics automation and numerical
techniques production management, quality, control and general
management
Strong points :
A wide scope of competences fostering adaptability to a great variety
of industrial branches
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Production and Industrial
Engineering

11. Production and Industrial
Engineering
Facilities :
Polytech own newly-equipped lab-work rooms
and access to the experimental platforms of
the University research laboratories.
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12. Information Technology
Goals :
To train system analysts and engineers specialized in computer
systems for the management of companies.
Strong points :
Multidisciplinary training focusing on IT ( designing, developing
and implementing information systems for the management
of companies and institutions ) The School relies on world
leaders in ICT.
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13. Information Technology
Facilities :
Almost 25% of the courses are given by IT
executives and specialists of topical domains .
Software, widely spread in companies such as
Oracle, Cognos, SAS, Arena etc… are used.
Students have access to aWifi-equipped building
with 140 computers connected byWLAN and
2 rooms specially designed for network system
training.
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14. Biomedical Engineering
Goals :
To train engineers capable of :
shaping, implementing and controlling investment and
maintenance policies of biomedical facilities.
Strong points :
This multidisciplinary and highly professional training in connection
with the Lyon Hospital Complex clearly focuses on medical
instrumentation i.e. medical scanning and hospital technical
platforms.
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15. Biomedical Engineering
Facilities :
Experimental facilities for lab work in
electronics, measurements and instrumen-
tation.
Students have access to the facilities of the
research labs of nearby hospitals and clinics
(scanning, ultra sounds and nuclear physics).
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16. Sex repartition
21%
79%
F
M
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17. Students of Polytech Lyon
• 38% granted students ( boursiers)
• 13% foreign students (about 30 citizenships)
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18. Curriculum Organization
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19. Cursus Organization
Year Automn Spring
1A PEIP PEIP
2A PEIP PEIP (1 month
training)
3A Courses
(discipline basis)
Courses
(discipline basis)
4A Training Courses (Option)
5A Courses (Option) Training (Diploma)
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20. Example of Educational Program of
Mechanical Engineering
• Volume given in terms of teaching hours and
pedagogical methods
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APPLICATIONS NUMERIQUES EN MATLAB
MATLAB-BASED NUMERICAL APPLICATION IN ENGINEERING:
Base competencies: Introduction to Matlab and ‘Numerical Methods I’
lectures.
Target competencies :
Students should be able to identify the type of problems that require
numerical techniques.
The computer assignments are based on the software package Matlab, to
solve problems with emphasis on application in Engineering . This is an
important component of the course ‘Numerical Methods I’.
Content include:
Root finding; interpolation and approximation; numerical integration;
ordinary differential equations and linear systems.

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METHODES NUMERIQUES DE BASE
NUMERICAL METHODS I (Each chapter begins with real-world problem involving
the numerical method)
Prerequisite(s): Introductory calculus and linear algebra.
Learning Objectives :
Students should have a basic knowledge of modern numerical techniques they
could use to accurately approximate solutions of problems that cannot be solved
exactly. They should know how, why and when these techniques can be expected
to work and estimate bounds for the errors in the approximations.
Topics include:
Root finding of single nonlinear equation and system of nonlinear equations; Data
interpolation and approximation; numerical integration and numerical
differentiation;
Numerical techniques for ordinary differential equations (ODE) and system of
ODEs ; Direct and iterative methods for linear systems.

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CALCUL DIFFETENTIEL DANS Rn
MULTIVARIABLE DIFFERENTIAL CALCULUS
Prerequisite(s): Introductory calculus and basic linear algebra.
Learning Objectives:
Students should be able to use differential calculus of functions of several variables
with emphasis on application in Engineering e.g optimization problems.
Topics include:
Partial and directional derivatives; Differentials and Jacobian matrix ; Taylor Series and
Hessian ; Inverse functions; Implicit functions; extrema and unconstrained
optimization; Lagrange multipliers and equation-constrained optimization;
Systems of ODEs and dynamical systems: solution of systems of linear ODEs;
introduction to nonlinear sytems of ODEs: phase space, singular points, stability.

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VECTOR CALCULUS
Prerequisite(s): Introductory calculus .
Learning Objectives:
Students should be able to use vector calculus differential calculus of functions of several
variables with emphasis on application in Engineering e.g optimization problems.
Topics include:
Vector algebra overview; Line, surface and volume integrals; Gradient, Divergence and
Curl; Integral Theorems; Curvilinear Coordinates; Cartesian
Each chapter gives a brief overview of some of the applications of the subject, including
the flow of heat within a body, the mechanics of solids and fluids and electromagnetism.
Applications: Heat transfer; Electromagnetism: Electrostatics, Electromagnetic waves in a
vacuum; Continuum mechanics and the stress tensor; Solid mechanics (equation of
motion for a fluid; the vorticity equation; Bernouilli’s equation)

30. International exchanges
• International ‘experience’ is mandatory
o Training
o 1 Semester or 1 year study
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