Master | Degree | Course Jukebox

Factorization of multidimensional observation

Observations of a physical system depending on D variables (also called diversities) naturally provide a D-way hypercube of data. A simple data model is based on the decomposition of the observations into a sum of R products between simpler terms, each simple term being related to a unique diversity. In most cases, the factorization is not unique and the search for a solution must be regularized by resorting to constraints. In fact, the goal is to explain observations by R latent variables in a unique way, with a physical meaning. In this context, we present factorization methods, either on matrices (D = 2 diversities) or on tensors (D > 2), exploiting complementary features that are known beforehand, such as: source statistical independence, source nonnegativity, source sparsity, etc… In addition, theoretical principles and algorithms are illustrated by actual unmixing applications in brain and hyperspectral imaging, chemical engineering, communications, internet recommendation systems, etc.

http://phelma.grenoble-inp.fr/en/studies/factorization-of-multidimensional-observation-wpmtfmo7 Introduction of methods for the analysis and representation of multivariate, multidimensional data. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique Observations of a physical system depending on D variables (also called diversities) naturally provide a D-way hypercube of data. A simple data model is based on the decomposition of the observations into a sum of R products between simpler terms, each simple term being related to a unique diversity. In most cases, the factorization is not unique and the search for a solution must be regularized by resorting to constraints. In fact, the goal is to explain observations by R latent variables in a unique way, with a physical meaning. In this context, we present factorization methods, either on matrices (D = 2 diversities) or on tensors (D > 2), exploiting complementary features that are known beforehand, such as: source statistical independence, source nonnegativity, source sparsity, etc… In addition, theoretical principles and algorithms are illustrated by actual unmixing applications in brain and hyperspectral imaging, chemical engineering, communications, internet recommendation systems, etc. Elementary linear algebra. Basic probability. Christian Jutten 2 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Continuous assessment international.cic_tsukuba@grenoble-inp.fr

Innovation Project

Groups consist of at least 4 students following different specialties. Subjects (open and multidisciplinary) are offered by responsible of 5th year module. The job is done by each group independently; groups have access to the SACCO platform and TP classrooms of the school.

http://esisar.grenoble-inp.fr/en/academics/innovation-project-5ampx504 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres Assess and enhance: Skills for the development of multidisciplinary systems; Work in a multidisciplinary team; The ability to innovate; Autonomy David HELY, Etienne PERRET, Vincent BEROULLE, Damien KOENIG 4 2nd year of master Seminar Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). P1 = Mean of report evaluation and oral presentation international.cic_tsukuba@grenoble-inp.fr

Dependability and security of computing systems

I. Dependability: Functional and structural redundancy; Structural redundancy techniques (hardware, temporal, information and software); Dependability evaluation techniques: combinatorial and Markov models; The FMEA analysis.
II. Software Testing: Goals and limitations of testing; Testing techniques based on the program structures or on specifications; Regression testing, conformance testing.
III. Industrial Case Study: Software vulnerability: pragmatic dependability of software (IR); Application to aeronautics (EIS)

http://esisar.grenoble-inp.fr/en/academics/dependability-and-security-of-computing-systems-5amse504 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres Students should be able to :
determine safety properties for computing systems;
implement appropriate fault tolerance approaches depending on the nature of studied systems;
evaluate dependability attributes using analytical approaches;
improve system robustness by using fault detection and elimination techniques; – Computer architecture
– Programming skills
– Graph theory basics Ioannis PARISSIS, Oum-El-Kheir AKTOUF, Stéphanie CHOLLET 3 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Real Time kernels

1. Introduction to time constraints and basic definitions.
2. Architecture and functioning of a real time kernel (tasks, interrupts,…)
3. Mutual exclusion: mutex, semaphores, priority inversion (priority inheritance protocols, ceiling priority protocol)
4. Task synchronisation and communication in a real time kernel.
5. Introduction to real time scheduling.
6. Memory management within a real time executive.
7. UML for designing real-time applications

http://esisar.grenoble-inp.fr/en/academics/real-time-kernels-5amos517 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres This course is an introduction to Real Time kernels. At the end of this course, the students will be able to:
understand the main tools of a RT kernel and use them efficiently,
design a real time application using to the best the capabilities of a RT kernel. – Operating System basics
– Linux system programming (processes, signals, pipes, IPC)
– C programming language
– Computer architecture basics (interrupt handling, timer, …) Oum-El-Kheir AKTOUF 3 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

E2 : second session exam mark international.cic_tsukuba@grenoble-inp.fr

Modeling, analysis and simulation of dynamical systems

Multiphysics modelling – Systems of conservation laws – Irreversible systems and thermodynamics – Compartment and reactional systems – Discrete dynamical systems

http://esisar.grenoble-inp.fr/en/academics/modeling-analysis-and-simulation-of-dynamical-systems-5amac524 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres Building dynamical models for complex multiphysics systems with the appropriate resolution for predefined control objectives – Analysing internal and input-uotput dynamical properties of these models – Performing numerical time integration (dynamical simulations) for these systems and making connections with discrete time systems and digital control problems. Any introductive course on scientific computing (including time integration of ordinary differential equations)
Any introductive course the state space approach for control systems Laurent LEFEVRE 3 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

PAPER SCIENCES, BIOREFINERY & BIOMATERIALS – Materials : cellulosic media

Paper physics
Paper physics – Labwork
Dimensional stability of paper

http://pagora.grenoble-inp.fr/en/international/fall-semester-paper-sciences-biorefinery-biomaterials-30-ects-1#page-programme Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Isabelle Desloges 5 1st year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr

PAPER SCIENCES, BIOREFINERY & BIOMATERIALS – Materials : biopolymers

Biopolymers, biocomposites
Polymer structures and properties
Tissue and specialty papers

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr

PAPER SCIENCES, BIOREFINERY & BIOMATERIALS – Paper sciences and processes

Papermaking science (courses, practice simulator and labwork)
Energy production in papermaking process

http://pagora.grenoble-inp.fr/en/international/fall-semester-paper-sciences-biorefinery-biomaterials-30-ects-1#page-programme Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Isabelle Desloges 7 1st year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr

Water Management in a Non Stationnary Environment

An approach linked with research is privileged in this in-depth module.
It is divided into three parts:
# Meteorology and climatology.
# Geostatistics and spatial data;
# Forecast and management of water resources in a non stationary context.

A short-project in the module called “Engineering of hydraulic structure” III will allow to link the three areas teached in this module.

http://ense3.grenoble-inp.fr/en/academics/water-management-in-a-non-stationary-environment-5eus5gec To be able to produce regionalized (spatial) data, e.g. on a watershed, using several methods.
To understand notions of meteorology (general circulation, thermodynamics, perecipitation) and climatology (climate model, climate change scenario) required for hydrological forecasting.
To be aware of the need to take into account non stationarities (climate or change in land use) in long-term hydrological forecasting and management of water resources.
To be able to apply new methodologies for hydrological forecasting at several lags. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique * To be able to produce regionalized (spatial) data, e.g. on a watershed, using several methods.
* To understand notions of meteorology (general circulation, thermodynamics, perecipitation) and climatology (climate model, climate change scenario) required for hydrological forecasting.
* To be aware of the need to take into account non stationarities (climate or change in land use) in long-term hydrological forecasting and management of water resources.
* To be able to apply new methodologies for hydrological forecasting at several lags.
Module Hydrology of engineers Anne Catherine Favre Pugin 5 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). 3h of DS / CC=2 BE/ final mark: 70% DS + 30% BE international.cic_tsukuba@grenoble-inp.fr

PAPER SCIENCES, BIOREFINERY & BIOMATERIALS – Plant biomass chemistry, valorization & recycling

Biorefinery
Processes for cellulosic pulps
Recycled fibres

http://pagora.grenoble-inp.fr/en/international/fall-semester-paper-sciences-biorefinery-biomaterials-30-ects-1#page-programme Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Isabelle Desloges 6 1st year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr

Water Quality and Treatment

An integrated approach is taken, starting from upstream (on the watershed) and going downstream (towards the receiving waters in the natural environment). This module is divided into three parts: (i) water quality (ii) Waste Water Treatment using bioprocesses (iii) Water Treatment using Physical and Chemical means.
This module is organized around courses and tutored work. It includes applications concerning biogeochemical modeling of rivers and sizing of different unit processes in order to treat water.

A project helps to synthesize and link the different topics taught in this module in a more integrated way. These tutorials and project correspond roughly to 30% of the module (including 20 hours of personal work in addition to classical course sessions)

http://ense3.grenoble-inp.fr/en/academics/water-quality-and-treatment-5eus5qte-1 Understanding and modeling pollutions transfer processes on natural ponds & urbanized area
Understandind their impact on the natural and urban environment
Developing strategies in terms of planning and pollution control to limit these impacts
Ensuring the production of water suitable for various uses (domestic, industrial, …). Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique Water Quality and Water Treatment module

– Understanding and modeling pollutions transfer processes on natural ponds & urbanized area
– Understandind their impact on the natural and urban environment
– Developing strategies in terms of planning and pollution control to limit these impacts
– Ensuring the production of water suitable for various uses (domestic, industrial, …). Bases on Transport Phenomena (Convection-Dispersion-Reaction Equation)(Cf S1, Advanced Fluid Mechanics module).
The module is largely self-consistent on the other points. However, certain items included in this module are discussed in: Hydrology for Engineers (S3) Hydraulics (S3), Geoenvironment (S4) Environmental systems (Hydrosystèmes) (S4) Philippe Sechet 5 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). 1 Exam (50% of the total mark) + 2 x Pratical Sessions (25%) + 1 Project (25%) international.cic_tsukuba@grenoble-inp.fr

DIGITAL MEDIA AND FUNCTIONAL PRINTING – Specific computer processes for printing

Structured Digital Documents XML-DNS
Pre-media technologies
3D printing
Digital files for printing
Networks
Form web and IT project management

http://pagora.grenoble-inp.fr/en/international/fall-semester-paper-sciences-biorefinery-biomaterials-30-ects-1#page-programme Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Isabelle Desloges 8 1st year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr