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Knowledge Integration and Collaboration in Design

This course aims at presenting the latest developments, theories and approaches in product development in a global and distributed world with a multi-expertise, multi-enterprise and multi-actor context. More precisely we adress here the research methodology issues related to the study of such complex collaborative situations. The aim of the course is to provide the latest tools for analysing and modeling complex collaborative situations.

http://genie-industriel.grenoble-inp.fr/fr/formation/ue-knowledge-integration-and-collaboration-in-design-wguknow9 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Autres First situation: designing a ticket folder
Discovering design as a collaborative and knowledge intensive activity. Situation 2: delta design game integrating communities of practice
Discovering mutual understanding, shared representations in synchronous design situationsObserving Collaborative design situations.
Presentation of the main research methodologies accessible today. Focus on protocol analysis and coding exercise.Situation 3 : designing a real design experiment.
Among 3 themes one team will develop a complete protocol (brief, data collection, analysis grid)
*theme 1: early supplier involvement
*theme 2: User centered design and participatory design
*theme 3: Integration of environmental issuesSituation 4: lab work on a collaborative platform
Discovering the issue of communities of practice and asynchronous collaboration. Motivation to understand and analyse the collaborative design process.
Motivation to develop methodological skills of analysis and observation.
It is desirable that students have a good knowledge of the product design activity through students projects or work experience. 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). Final exam international.cic_tsukuba@grenoble-inp.fr

Mechanical Structure Design

The different phases of the design of an hydraulic structure are presented in this course:
1. Geological survey, regarding both the mechanical and the transfer properties, of a specific site to build a large structure.
2. Pre-design of the structure based on analytical methods (design rules as Eurocodes for instance) with simplified hypothesis.
3. The detailed structural design based on advanced rheological laws for geomaterials (soils, rocks, concrete) and finite element modelling, including construction phase.

http://ense3.grenoble-inp.fr/en/academics/mechanical-structure-design-5eus5cmo-1 • Comprehension and modelling of mechanical behaviour of geomaterials
• Global understanding of the design phase of a structure
• Comprehension and modelling of a structure including its foundation. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique • Comprehension and modelling of mechanical behaviour of geomaterials
• Global understanding of the design phase of a structure
• Comprehension and modelling of a structure including its foundation.
Continuum Mechanics
Finite Element Method
Material Strength Theory
Rock and soil Mechanics Gael Combe 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.

Session 1:
40% CC — 60% CT

Session 2:
No resit exam for CT

Continuous assessment is composed of:
– a report dealing with the design of a retaining wall using Eurocode 7 international.cic_tsukuba@grenoble-inp.fr

Sustainable Manufacturing

There is no single common definition of sustainable manufacturing but the US Department of Commerce’s Sustainable Manufacturing Initiative
sums it up as: “The creation of manufactured products that use processesthat minimize negative environmental impacts, conserve energy and
natural resources, are safe for employees, communities, and consumers and are economically sound.”

http://genie-industriel.grenoble-inp.fr/en/studies/sustainable-manufacturing-5guc2304 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Autres This course allows students to learn about the main principles and
main changes to come for sustainable manufacturing and finally to
understand how to implement the main methods and tools supporting
decision making for sustainability in Engineering. Students will
study in detail the production methods of the future. Concepts like
remanufacturing,circular economy, product service strategy and upgrading
are explained. Economic and legal instruments that initiate the
transition of firms are presented. Lectures are accompanied by a
projet (done in groups of 3-4) that aims at improving and testing the
knowledge of chosen concepts in particular industries for particular
products. At the end of the course, the student will be able to:

• Understand environmental issues for industries and firms
• Implement environmental assessment methods
• Define adapted industrial policies and strategies
Basics in product and production technologies.
Basic knowledge of Economics and Sociology of Organisation. Oliwia KURTYKA 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.

Natural Hazards and Soil Improvements

This course provides an overview of the issues natural hazards and climate change on the stability of structures (especially related to the transition between unsaturated and saturated soil). It covers in particular the seismic risk and the slope stability. The physical and mechanical phenomena induced in the soil and structures are addressed. The consequences in terms of stability of structures and natural slopes are analyzed. Finally the techniques usually used for risk mitigation (including soil improvement or installation of protective structures) are identified and discussed in more depth in the context of a design project.

http://ense3.grenoble-inp.fr/en/academics/natural-hazards-and-soil-improvements-5eus5rnc-1 To understand the tools used for defining the regional and local seismic hazard
• Advanced knowledge of soil dynamics and the associated mechanical phenomena (including liquefaction)
• To know how to design a structure considering the seismic hazard (including dams, natural slopes, retaining structures and foundations)
• Knowledge of physical and mechanical phenomena at the origin of gravity risk (landslide, rock fall, avalanche)
• To understand the behavior of unsaturated soils and the impact on the stability of structures or natural slopes
• Knowledge of the main techniques used for improving soil and the design of protective structures Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique • To understand the tools used for defining the regional and local seismic hazard
• Advanced knowledge of soil dynamics and the associated mechanical phenomena (including liquefaction)
• To know how to design a structure considering the seismic hazard (including dams, natural slopes, retaining structures and foundations)
• Knowledge of physical and mechanical phenomena at the origin of gravity risk (landslide, rock fall, avalanche)
• To understand the behavior of unsaturated soils and the impact on the stability of structures or natural slopes
• Knowledge of the main techniques used for improving soil and the design of protective structures Soil and rock mechanics, groundwater flow, rheology, structural dynamics. Fabrice Emeriault 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.

Digital chain for Industry 4.0 including virtual and augmented reality

The deployment of industry 4.0 is based on various innovative technologies but also requires the construction a complete digital chain
from the design office to enable these technologies. The digital chain in industry 4.0 depends on a relevant information system.The
lesson teaches how to deploy a complete digital chain from design office to production system applications based on virtual reality and
augmented reality applications.

http://genie-industriel.grenoble-inp.fr/en/studies/digital-chain-for-industry-4-0-including-virtual-and-augmented-reality-5guc3319 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Autres The lesson is presenting 3 complementary aspects:data sources available in industry at design or production levelcreating an information system to connect and share various source of informationvirtual reality and augmented reality technologies and applicationsThe
role of the lesson is to learn how to connect these 3 aspects to build a
complete digital chain that can be deployed for industrial practise.Labworks learn non sql information systemsThey remind basics of scripting languages (python, C#)Students experience a wide set of VR/AR devices within prepared labworksStudents apply this knowledge to specify and create a digital chain to solve a specific industrial process. CAD/3D modeling: almost basic 3D modeling is expected. Students who have
few experiences about this pint will be oriented on basic tutorials
but it will not be part of the lesson activityComputer science
development basics : basics will be reminded but students will need to
develop few codes mainly in python or C# 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.

Data Management in large-scale distributed systems

In this course, we will study the fundamentals and research trends of distributed data management, including distributed query evaluation, consistency models and data integration. We will give an overview of large-scale data management systems, peer-to-peer approches, MapReduce frameworks and NoSQL systems. Ubiquitous data management and crowdsourcing will also be discussed.

Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Data management and knowledge extraction have become the core activities of most organizations. The increasing speed at which systems and users generate data has led to many interesting challenges, both in the industry and in the research community. Fundamentals of DBMS, parallel programming (threads) Thomas Ropars 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.

Advanced Learning models

Statistical learning is about the construction and study of systems that can automatically learn from data. With the emergence of massive datasets commonly encountered today, the need for powerful machine learning is of acute importance. Examples of successful applications include effective web search, anti-spam software, computer vision, robotics, practical speech recognition, and a deeper understanding of the human genome. This course gives an introduction to this exciting field, with a strong focus on kernels methods and neural network models as a versatile tools to represent data

http://ensimag.grenoble-inp.fr/fr/formation/advanced-learning-models-wmms536i-1 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Introduction to statistical learning theory and kernel-based methods. Fundamental notions in linear algebra and statistics. Basic programming skills to implement a machine method of choice encountered in the course from scratch Julien Mairal – Xavier Alameda 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.

High Performance computing for mathematical models

In this course, we will introduce parallel programming paradigms to the students in the context of applied mathematics. The students will learn to identify the parallel pattern in numerical algorithm. Introduction to parallelism, Models of parallel programming, Programming tools: OpenMP, OpenMPI

http://ensimag.grenoble-inp.fr/fr/formation/high-performance-computing-for-mathematical-models-5mm253c3 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Applications in bioinformatics, computer vision, text mining, audio processing, etc. C or C++, Compiling, Data structures, Architecture, Concurrency Christophe Picard 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). Practical work international.cic_tsukuba@grenoble-inp.fr

Distributed Systems

Review of core principles of distributed systems. Characteristics and design issues of distributed systems, briefly revisiting the basic notions on network support, naming and binding.Main concepts and terminology of fault tolerance, including replicated servers for high-availability. Peer-to-peer Distributed Systems. Both structured and unstructured P2P architectures and designs.

http://ensimag.grenoble-inp.fr/fr/formation/distributed-systems-wmm535e-1 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères The objectives of this course are:

– to study the basic concepts used to design distributed algorithms: processes, failures, etc.
– to study a set of distributed algorithms that are used in modern distributed systems.

At the end of the course, the student will be familiar with a set of widely used algorithms. In particular, the following families of algorithms will be introduced: consensus algorithms, broadcast algorithms, synchronisation algorithms, etc. Basic notions of operating systems.
Basic notions of networks. Vivien Quema 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.

Facing environnemental issues : theories, concepts and tools

Resource scarcity and other new environmental challenges have become more pressing in the last decades. A rising ecological consciousness now permeates political debates, economic policies and development projects, assessing the environmental footprint of human action at every scale. Social sciences have made a major input in the environmental debate by heavily contributing to the theoretical and practical shift from “the natural” to “the environmental”, by stressing the inherent political and social dimension of environmental issues, and by developing useful concepts (e.g. accessibility, vulnerability, resilience…). Facing Environmental Issues will be taught as a set of courses: a political ecology short and theoretical seminar will provide a theoretical approach, while more practical courses will present concrete development projects and tools, such as Community-Based Resource Management and Energy Transition. Alpine Geography and Urban Planning Institute (IUGA) Grenoble – Vigny Musset IGI27ZX6 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). Nadia LACHKAR
iuga-international@univ-grenoble-alpes.fr

Politics of development

Development is based on power relations. The course aims at understanding the political background of development, in a broad geopolitical analysis of the past decades. This involves an important focus on the emerging powers and on South-South dynamics. The course is based on a multi-scalar approach of the stake-holders who are involved in development politics and policies. Alpine Geography and Urban Planning Institute (IUGA) Grenoble – Vigny Musset IGI27064 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). Nadia LACHKAR
iuga-international@univ-grenoble-alpes.fr

When diversity becomes a problem : processes of ‘othering’ and building bridges

Professionals in the field of development will undoubtedly be confronted with cultural differences that can be difficult to manage on a professional and an emotional level. However only too often differences are understood from the sole angle of culture and ethnicity, underestimating the impact of power assymmetry. This course will therefore start with a critique of Huntington’s concepts of a clash of civilisations as an analytical framework to understand tensions and conflicts on a national and international level. After some field experiences in Grenoble, the class will critically analyse the idea of the incompatibility of cultures and will explore alternative frames of references drawing on the literature on race, class, gender and intersectionality. Alpine Geography and Urban Planning Institute (IUGA) Grenoble – Vigny Musset IGI2OUP6 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). Nadia LACHKAR
iuga-international@univ-grenoble-alpes.fr