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

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.

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

Machine Learning is one of the key areas of Artificial Intelligence and it concerns the study and the development of quantitative models that enables a computer to perform tasks without being explicitly programmed to do them. Learning in this context is hence to recognize complex forms and to make intelligent decisions. Given all existing entries, the difficulty of this task lies in the fact that all possible decisions is usually very complex to enumerate. To get around that, machine learning algorithms are designed in order to gain knowledge on the problem to be addressed based on a limited set of observed data extracted from this problem.

http://ensimag.grenoble-inp.fr/fr/formation/machine-learning-fundamentals-wmm9mo21 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères The intent of this course is to propose a broad introduction to the field of Machine Learning, including discussions of each of the major frameworks, supervised, unsupervised and semi-supervised learning. Massih-Reza Amini 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). Final exam international.cic_tsukuba@grenoble-inp.fr

This lecture introduces fundamental concepts and associated numerical methods in model-based clustering, classification and models with latent structure. These approaches are particularly relevant to model random vectors, sequences or graphs, to account for data heterogeneity, and to present general principles in statistical modelling.

Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Model-based clustering, classification and models with latent structure are particularly relevant to model random vectors, sequences or graphs, to account for data heterogeneity, and to present general principles in statistical modelling. The following topics are addressed:

Principles of probabilistic data mining and generative models; models with latent variables
Probabilistic graphical models
Mixture models and clustering
PCA and probabilistic PCA
Generative models for series and graphs : hidden Markov models Fundamental principles in probability theory (conditioning) and statistics (maximum likelihood estimator and its usual asymptotic properties).
Constrained optimization, Lagrange multipliers. Jean-Baptiste Durand 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). Final exam international.cic_tsukuba@grenoble-inp.fr

This course addresses advanced aspects of information access and retrieval, focusing on several points: models (probabilistic, vector-space and logical), multimedia indexing, web information retrieval, and their links with machine learning. These last parts provide opportunities to present the processing of large amount of partially structured data. Each part is illustrated on examples associated with different applications.

http://ensimag.grenoble-inp.fr/fr/formation/information-access-and-retrieval-wmm533u Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères The domain of information access encompasses several applications pertaining to categorization, clustering or information retrieval. The goal of this module is to present models and algorithms used in these frameworks, and is intended to students willing to use or develop tools for data mining, machine learning and information retrieval. This course requires knowledge of probability and integration theory. Some previous knowledge of Stochastic processes is welcomed. No previous knowledge of Brownian motion or Stochastic Calculus is required. Georges Quenot 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). Final exam international.cic_tsukuba@grenoble-inp.fr

The course covers knowledge representation and reasoning algorithms in artificial intelligence. The focus is, in the first part, on logical and symbolic knowledge and, in a second one probabilistic knowledge. The course will cover logical languages, symbolic languages, probabilistic systems, and decision making with these languages and systems.

http://ensimag.grenoble-inp.fr/fr/formation/knowledge-representation-and-reasoning-wmm533b-1 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Danielle Ziebelin 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

The web has been constantly evolving from a distributed hypertext system to a very large information processing machine. As fast as it is, this evolution is grounded on theoretical principles borrowing to several fields of computer science such as programming languages, data bases, structured documentation, logic and artificial intelligence. The smooth operation of the past and future web at a large scale is relying on these foundations. The goal of this course is to present them, the problem that they solve as those that they uncover. It considers three milestones of this evolution: XML, the social web and the semantic web.

Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères The first part aims at introducing programming language foundations, algorithms and tools for processing tree-structured information, and for the analysis of queries and programs that manipulate trees. This part consists in an introduction to relevant theoretical tools with an application to NoSQL and XML technologies in particular. The theoretical part introduces tree grammars, finite tree automata, classical tree logics and a recent mu-calculus of finite trees, in connection to practical problems and technologies such as XPath/XQuery, DTD, schemas, etc. Applications are illustrated through scalable validation of document streams, efficient query evaluation, static analysis of expressive queries in the presence of constraints, and static type-checking of programs manipulating labeled trees. The course also aims at presenting challenges, important results, and open theoretical issues in the area of NoSQL programming.

The second part summarizes data models and algorithms required to extract, manage and access massive amounts of social content. The course examples are drawn from real-world applications such as URL search and recommendation on Delicious, group recommendation in MovieLens and extracting travel itineraries from Flickr photos. The course goals are: acquire knowledge on scalable algorithms for processing large volumes of social data and extracting value from that data and learn how to run and interpret large-scale user studies.

The third part introduces the semantics of knowledge representation on the web. The semantic web extends the web with richer and more precise information because it is expressed in a formal language using a vocabulary defined in an ontology (a structured vocabulary of concepts and properties defined in a logic). Ontologies are used for describing web resource content and reasoning about these resources formally. We introduce the semantic web languages (RDF, RDFS, OWL) and show their relations with knowledge representation formalisms (conceptual graphs, description logics) and XML. This provides tools for reasoning with ontologies and, in particular, to evaluate queries. However, the distributed nature of the web leads to heterogeneous ontologies which must be matched before using them. We discuss ontology matching and explain how to semantically interpret the relations between ontologies. Finally, this is applied to network of peers using knowledge together. Sihem Amer Yahia 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

Anglais technique et scientifique adapté à la géographie Anglais (obligatoire si niveau inférieur à B2) Alpine Geography and Urban Planning Institute (IUGA) Grenoble – Vigny Musset IGWFCXO6 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

This course addresses the elaboration and characterization methods of main polymer materials (polymer electrolytes, electrode binder) for alternative energies: i.e. fuel cells, batteries, super-capacitor, flexible solar cells, etc. The course will also provide a background on critical issues on the main conjugated and conducting polymers used as the active materials (polymers, semiconductors and organic conductors) for the electronics applications. The different methods of chemical, electrochemical synthesis and recent synthetic methodologies will be reviewed. The underlying scientific principles that guide the study of structure-property relationships and the supramolecularity effects on the modulation of electronic properties will be discussed. Applications of these polymers in their undoped (organic solar cell, antistatic layers…) and doped state (corrosion, actuators, electrochromic, sensors …) will be described. Chemistry and Biology Department (UFR Chimie et Biologie) Grenoble – Domaine universitaire IGNIJCL0 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). Agnès VERE
chimie-biologie-ri@univ-grenoble-alpes.fr

Sustainable Development seems to be onmipresent It is embedded in the dominant economic system. But what are the characteristics of this dominant economic system ? The theoretical part of the course aims at studying these characteristics and how they are the results of several unquestioned myths, producing a dominant paradigm. Development, and of course sustainable development should then rest on other principles than the dominant ones. The course introduces what might be these alternative principles, based on a richer vision of humanity than the one of the homo oeconomicus. Applying these principles, it is then possible to analyse alternative initiatives, organisational innovations, in Western Countries as well as in the Global South. The practical part of the seminar will then spot innovative strategies and their possibilities of being reproduced, not only in terms of “good practises”. Alpine Geography and Urban Planning Institute (IUGA) Grenoble – Vigny Musset IGI28KHA 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

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

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