face-to-face | Course delivery methods

DIGITAL MEDIA AND FUNCTIONAL PRINTING – Industrial engineering

Signal processing (problem based learning)
Sustainable development
Technical intelligence
Production management
Company visits

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

Advanced Processor Architecture and SOC Design

Introduction : System vs Embedded Systems; SOC design challenges, SOC modelling, Hardware Software partitionning.
System on programmable chip Architectures
SOPC design flow
Applications

http://esisar.grenoble-inp.fr/en/academics/advanced-processor-architecture-and-soc-design-5amce514 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres To be able to choose and to exploit the more appropriate processor architecture for a given application.
To be familliar with SOC design techniques and challenges – Digital design (VHDL or Verilog; FPGA design)
– Embedded software Programming (C; Assembly Language)
– Processor Architecture (RISC Architecture, ARM processor) David HELY 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.

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). Exam 1h30 + Labs international.cic_tsukuba@grenoble-inp.fr

Cryptography for embedded systems

Models for security analysis;
The need for cryptographic primitives and protocols;
Symmetric cryptosystems: design, make-up, analysis;
Other symmetric protocols and algorithms;
Arithmetic for asymmetric cryptography;
Examples of asymmetric cryptosystems;
Implementation of cryptographic primitives

Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres After the course, the student should be able to:
analyze the security needs of a communication and/or computation system at an algorithmic/informational level;
grasp the design principles of cryptographic primitives;
implement a cryptographic primitive in hardware knowing its specification. Hardware design courses: digital design, FPGA, VHDL or Verilog Yann KIEFFER 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.

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). E1: result of end-term written exam (90 min);
E2: individual oral examination (30 min);
CC: semester-long assessment international.cic_tsukuba@grenoble-inp.fr

Decentralized Control of Complex Systems

1. An optimization-based approach for control of complex systems (Optimization-based control; Generic prediction models; Generation of a reference trajectory/profile; Set-theoretic elements; Mixed-integer representations in control design)
2. Cooperative control of multi-agent dynamical systems (System description; collision avoidance formulation; Area coverage for multi-agent systems in multi-obstacle environment; A tight configuration of multi-agent formation; centralized MPC, Distributed MPC; decentralized MPC)
3. Stability analysis
4. Examples, simulations, benchmarks and applications (Flight control experiments of Unmanned Aerial Vehicles; Microgrid energy management; Decentralized supervision and control of water networks)

http://esisar.grenoble-inp.fr/en/academics/decentralized-control-of-complex-systems-5amac554 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres The goal of this course is the optimal constrained control of complex dynamical systems. Elements from control theory and optimization will be merged together in order to provide useful tools which will be further applied to various problems involving multi-agent dynamical systems and interconnected systems in general. Beside classic control challenges related to the centralized vs distributed vs decentralized approaches, the stabilization and the tracking performances of each agent, there are a series of constraints imposed by the interaction with the environment and between themselves (anti-collision, avoidance constraints) as well as solving a collaborative task (e.g., maintain a fixed formation). This is generally the case with vehicles evolving in the same physical space, collaborative robots or drones covering a certain area. Some application benchmarks like control and coordination of multiple drones, energy management in complex energy systems and water distribution networks are discussed. Algorithms and programming, Linear and non-linear control, Optimal and predictive control Ionela PRODAN 2.5 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). E1 : Oral exam (in English) of 20 minutes for a team of students. E2 : Oral exam (in English) of 20 minutes and a report (in English). international.cic_tsukuba@grenoble-inp.fr

Model based Fault-Diagnosis for Linear Systems

There ar only tree main approaches. The observer-based approach, the parity-space approach, and parameter identification-based methods. In order to optimize FDI indications, the following two step are developped :
The first step is to design a filter based on a model of the plant to generate a vector known as the residual. The residual should ideally be zero (or zero mean) under no-fault conditions.
The second step is to make decisions on whether a fault has occurred. This step is usually done using statistical tools to test if the residual has significantly deviated from zero.

http://esisar.grenoble-inp.fr/en/academics/model-based-fault-diagnosis-for-linear-systems-5amac514 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres Fault detection and isolation (FDI) is a subfield of control engineering which involves monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Model-based techniques of fault detection and isolation use a model to investigate/analyze the occurrence of faults. The system model may be mathematical or knowledge-based. We focus our attention on mathematical models. State space representation
Observer design
Identification H2
Algebre of matrice : Rank, ker, eigenvalue … Damien KOENIG 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.

Verification and test of secure circuits

1 Verification and test of critical and secure digital systems: Introduction (Context and issues; Verification vs Test; DO-254 Standard); Hardware systems verification (Simulation; Emulation & Prototyping); Hardware Testing (Defects and faults modeling; Automatic Test Pattern Generation (ATPG); Design for Test and Bult-in-Self-Test (DfT, BIST); Digital board testing (boundary scan).
2 HW/SW Co-Verification & Co-Development: Microelectronic context and trends (SoC, MPSOC); SoC design flow (Hadware/Software Co-design approach; Plateform based design); Introduction to SystemC (Starting with SystemC; Communication channels; New abstraction level: Transaction Level Modeling); Co-verification of Harware and Software systems (Context and definitions; Co-verification approaches based on ISS, BFM, TLM and emulation, criteria to choose a verification approach)
3 Hardware Security: Introduction & cryptography basis; Hardware Vulnerabilities (Fault Attacks; Side Chanel Attacks; Integrated Circuit Trustworthiness (Countermeasures, Security Certification and Case studies) Smartcard; FPGA)
Laboratories:
– VHDL & PSL Simulation with QuestaSim (Mentor GraphiCs)
– Simulation vs “prototyping and integrated logical analyzer” ChipScopePro (Xilinx)
– SRAM embedded memory test on FPGA Spartan 3 card (Xilinx)
– On the use of communication channels (Fifo, Mutex, Semaphore) to model a communication architecture
– SoCLib – “Emulation of a Hardware/Software architecture used for image processing”

http://esisar.grenoble-inp.fr/en/academics/verification-and-test-of-secure-circuits-5amse515 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres At the end of the lecture, the students will be able to verify, to test digital architectures and to analyse the vulnerabilities of embedded systemes. Then, they will be able to perform attacks and to design appropriate countermeasures. Neccessary: Hardware Description Language (HDL, verilog or VHDL) for simulation (testbench) and design, logical synthesis, FPGA, processor architecture (processor models, instruction set architecture), C programming
Ideally: bases of object oriented programming David HELY; Vincent BEROULLE 6 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). Terminal Exam, First session, written, 3h, only document allowed “syntaxe VHDL”, no calculator
Labs: average of laboratory exams 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.

Foresight and Strategy

Issue: Understanding Opportunities and Challenges of the Industry of the Future … for Competitive Firms Design
In
2050, Manufacturing will look very different from today. Key words are
faster, responsive, clean and green, close to customers, interconnected,
smart. Firms will adapt a massive flow of new technologies: both
digital and physical.
As in the past, this 4th Industrial Revolution
will shift the role and place of the industry in society, it will
generate new business models, new forms of firm organizations and value
chains, new sources of value. For successful firms, strategic choices
will be crucial.
This course is designed to help students
forecasting the future, and acquiring the skills to develop strategic
choices in the coming environment. A good strategy traces the paths to
innovation: products, processes, organizations, value chains.

http://genie-industriel.grenoble-inp.fr/fr/formation/ue-foresight-and-strategy-wgu2str7 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Autres List of 11 themes (Part II)
I. Final Products 1. Individualization
II. Final Product 2. Interconnection, Ecosystem
III. Final Product 3. Matching (Including C2C)
IV. Value Chain 1. Vertical Relations
V. Value Chain 2. Externalities, Ecosystem
VI. Value Chain 3. Capturing Value and Leadership
VII. Value Chain 4. Standards, Norms, and Interoperability
VIII. New Production Process 1. The Future of Work
IX. New Production Process 2. Explore and Exploit, Complexity in Dynamics
X. New Production Process 3. Disruption and Continuity, Innovation and Growth
XI. Macro Issues and Politics Microeconomics, organisation and basic management are welcomed but not compulsory Bernard RUFFIEUX 6 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.

Advanced Control : Methods and Practical Implementation Tools

1) Predictive control : Illustrative example ; Prediction equations for linear time invariant systems ; Definition of the cost function ; Link with the unconstrained optimal regulator ; Constraints definition ; Constrained predictive control ; Control parametrization ; Application examples ; Nonlinear Predictive control
2) Model-based Diagnosis : Introduction, basic concepts, motivation and preliminaries: fault detection and isolation and its use for fault-tolerance and complex systems monitoring and safety. Process models and fault modelling. Presentation of the different approaches and focus on the model-based approach. ; Data validation and reconciliation: measurement errors, balance equations, state estimation for constrained and unconstrained systems, linear and bilinear systems ; Fault detection with parity equations – Static and dynamic cases: Analytical redundancy, parity equations and generation of residuals. Enhanced and structured residuals. Properties and analysis of residual signals ; Fault detection and isolation with state observers and state estimation. Unknown inputs observers. Observers banks.

3) Embedded system code design & implementation : Real-time and Embedded Systems design : Real-Time scheduling algorithms on uni and multiprocessor systems, programming techniques

http://ense3.grenoble-inp.fr/en/academics/advanced-control-methods-and-practical-implementation-tools-5eus5aua The aim of this course is to present advanced control systems methods for optimal and predictive control and fault detection and isolation & fault tolerance. Tools and methods for real-time implementation of control algorithms on embedded systems are also presented Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique The aim of this course is to present advanced control systems methods for optimal and predictive control and fault detection and isolation & fault tolerance. Tools and methods for real-time implementation of control algorithms on embedded systems are also presented Basic course in control systems, scientific programming and real-time computer systems Christophe Berenguer 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). Session 1 : 60%CT + 40% CC
Session 2 : R Remplace CT international.cic_tsukuba@grenoble-inp.fr

Modelling and Optimization in Product Development

This course presents advanced techniques for modeling, simulation and
optimization in technical product development. This 3 points are viewed
as cornerstones for the DMU development and usage.Lessons are describing the concepts while lab works are centered on operating basic tools.

http://genie-industriel.grenoble-inp.fr/fr/formation/ue-modelling-and-optimization-in-product-development-wgumode9 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Autres System modeling and simulationProduct architectureSimulation preparation Data and process models (principles, UML), system simulationIdealization, simplification for simulationCAD simulation link
Digital mock upGeometrical aspects, creation, maintenance, Parameterization, Direct modeling Product familyHeterogeneous Data Integration (Space Claim, PTC, catia)CAD modeling API : external control
Robust and optimal designDesign structure matrix: optimization problemContinuous optimization with or without constraints: modeling, solving, constraintsConstraint satisfaction problem meta heuristic methods: annealing, genetic algorithms, PSO CAD modeling : basics about 3D modeling
Applied mathematics : derivative, integration, etc.
Computer science: scripting language: python, scilab, visual basic Frédéric NOEL 6 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.

Mechatronics

Modelisation, simulation and conception of mechatronic systems. Industrial and mobile robotics notions. Specification and evaluation of dynamical performances. Embedded control systems and reference generation. Disturbance estimation and adaptive rejection of disturbances. Fault-tolerant control notions. Code implementation in microprocessors.

http://ense3.grenoble-inp.fr/en/academics/mecatronics-5eus5met study a mechatronics approach for conceiving and for dimensioning intelligent systems. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique The main objective is to study a mechatronics approach for conceiving and for dimensioning intelligent systems.
UE Automatique 1 (Automatic control 1)
UE Actionneurs (Actuators)
UE Systèmes Temps-réel (Real-time systems) John-Jairo Martinez-Molina 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). DS 2h + CC en BE.
(Individual exam 2h and computer assisted exercises). international.cic_tsukuba@grenoble-inp.fr