face-to-face | Course delivery methods

Information access and retrieval

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

Knowledge representation and reasoning

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.

Semantic Web : from XML to OWL

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.

Advanced Algorithms for Machine Learning and Data Mining

A prior algorithms (Frequent item sets) & Page Rank, Monte-carlo, MCMC methods: Metropolis-Hastings and Gibbs Sampling, Matrix Factorization (Stochastic Gradient Descent, SVD), Generalized kmeans and its variants (Bach, Online, large scale), Kernel clustering (Support Vector Clustering), Spectral clustering, Classification and Regression Trees, Support Vector regression,Alignment and matching algorithms (local/global, pairwise/multiple), dynamic programming, Hungarian algorithm,…Alignment and matching algorithms (local/global, pairwise/multiple), dynamic programming, Hungarian algorithm,…

Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Fundamentals of probability/statistics, linear algebra and computer science (data structures and algorithms) Eric Gaussier 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.

iDesigner : Tackling Complexity by Integration

Designing modern products and systems in an innovative, sustainable and
competitive way demands the implementation of new paradigms in
development organisations. Design is no longer concentrated on a
specific phase. It goes beyond aesthetics to cover all functional
aspects of a product or a system, thus driving the entire development
process. Consequently, more and more actors of the complete product
life-cycle have to be integrated in the design process. This creates new
challenges for design engineers, as well as for development project
managers. This course adresses all these challenges looking at examples
from the design of automotive mechatronic systems.

http://genie-industriel.grenoble-inp.fr/en/studies/idesigner-tackling-complexity-by-integration-5guc0904 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Autres The definition and motivation of integration in design:

• the targets of integration, including the product life-cycle,
• essential methods of integration, including concurrent engineering and product modelling,
• mastering complexity and innovation,
• knowledge management for integration,
• collaborative integrated design
•
selected aspects of integration in design, including sustainable
design, risk assessment, safety design, virtual development tools and
techniques, etc… Basic knowledge on the product design process. Andreas RIEL 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.

Non Linear and Robust Controls

ROBUST CONTROL COURSE

Introduction
Industrial examples (automotive and electromechanical applications).
1 Tools
Hinf norm: how to dene the gain of a MIMO system ?
Singular values of a transfer matrix, introduction to H2 and H1 norms.
Example of a mass/srping/damper system.
Internal stability: Notion of well-posedness, Small Gain theorem
2 Performance analysis
Denition of the sensitivity functions
frequency-domain performance indices (sensitivity functions, stability and robustness margins, bandwidth, SISO and MIMO cases)
3 Hinf control design
Performance Specications: selection of weighting functions.
Loop-shaping Mixed sensitivity problem.
Solving the Hinf control problem: Obtaining the General control conguration
Hinf controller structure (state feedback, dynamic output feedback)
Problem solution using Riccati equations or LMIs -Bounded Real Lemma)
Illustrative examples
4 Uncertainty and robustness
Representing uncertainties: unmodelled dynamics, frequency forms, unstructured uncertainties
Parametric uncertainties, LFT forms, structured uncertainties
Robust stability analysis: M structure, small gain theorem
Robust stability for unstructured uncertainties.
Robust performance analysis: A simplied Hinf criterion,
Introduction to mu-analysis – structured uncertainties

5 Introduction to LMIs
What is an Linear Matrix Inequality ? Brief optimisa-
tion background, Denition
Stability issue: From Lyapunov equation to LMIs
Control design: problem formulation: Example on
State feedback
6 Short introduction to LPV systems
Denition of Linear Parameter Varying systems, stability issue, control design
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http://ense3.grenoble-inp.fr/en/academics/non-linear-and-robust-controls-5eus5cnl Ability for design and analysis of Hinfinity controlllers, robustness analysis, and the limits of the linearization, the analytical tools for nonlinear stability, and the basic principles of feedback control nonlinear state. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique Ability for design and analysis of Hinfinity controlllers, robustness analysis, and the limits of the linearization, the analytical tools for nonlinear stability, and the basic principles of feedback control nonlinear state. Linear Systems, Transfer and state space approach, frequency and time-domain analysis Olivier Sename 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). Exam
Homework
Project reports
Individual evaluation in Matlab tutorials international.cic_tsukuba@grenoble-inp.fr

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.