Master | Degree | Course Jukebox

Numerical methods in solid and fluid mechanics 1

This first part of the course is dedicated on the theory and implementation of the finite element method for solving boundary value problems in solid mechanics: Overview of the finite element method in solid mechanics, the Finite Element Method for Static Linear Elasticity, The finite element method for time dependent and dynamic problems. Physics, Engineering, Earth and Environmental Sciences and Mechanics Department (UFR PhITEM) Grenoble – Domaine universitaire IGRY9H26 3 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). Dounia MOUKADEM / Thi Phuong POURTIER
phitem-international@univ-grenoble-alpes.fr

Passive seismic site characterization

In recent years, the number of scientific papers and engineering applications dealing with ambient vibration analysis methods has increased considerably. Clearly, the interest in these methods originates from both the economical attractive cost benefit ratio and the straightforward data acquisition. Being a non-destructive passive technique, these methods also complement geotechnical and/or active geophysical methods for characterizing ground structure at geotechnical and earthquake engineering scales. This course will achieve the necessary understanding of the problems related to the acquisition, processing and interpretation of these techniques for quantitative assessment of shear-wave velocity structure and derived engineering parameters (e.g. Vs30 required in building codes, site amplification). The course will alternate lectures, exercises and field experiment. Physics, Engineering, Earth and Environmental Sciences and Mechanics Department (UFR PhITEM) Grenoble – Domaine universitaire IFZ73KRH 3 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.

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 This course deals with: Topic 1: Neural networks : Basic multi-layer networks / Convolutional networks for image data / Recurrent networks for sequence data / Generative neural network models Topic 2: Kernel methods : Theory of RKHS and kernels / Supervised learning with kernsl / Unsupervised learning with kernels / Kernels for structured data / Kernels for generative models It is composed of 18 hours lectures. Evaluation : There will be a written homework with theoretical exercises. In addition the students participate in a data challenge in which they implement a machine learning method of choice to solve a prediction problem on a given dataset. Both elements contribute equally to the final grade. See course website. Computer Science, Mathematics and Applied Mathematics (UFR IM²AG) Grenoble – Domaine universitaire IGNGW6A0 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.

Quantum engineering quantum information

Quantum communication and information processing (QIPC) is a rapidly growing field that takes advantage of the most counter-intuitive aspects of quantum mechanics to develop new technologies. In this framework, no-cloning theorem is exploited to communicate more securely, while coherence and entanglement become resources to compute in a more efficient way than in the classical world. Moreover, approaching the quantum limits paves the road to ultra-sensitive measurements in various fields of physics such as photonics, mechanics or electrical engineering. In these various fields, the ability to beat decoherence, namely, to isolate and control quantum systems, was crucial. Technological progresses have allowed fulfilling these challenging objectives, such that quantum protocols are now investigated in various experimental setups. This course will present an introduction to quantum information and more generally to quantum engineering, with examples taken from photonics and superconducting circuits. It will expose the mains tools and concepts of quantum technologies, for students curious about this intriguing topics, whether they envisage to embark in a PhD, or they just want to acquire a scientific background in this domain. Basics of quantum optics and light-matter interaction will be presented. General concepts relevant for quantum information, e.g. quantum bits, Bloch sphere or decoherence, will be introduced and illustrated using superconducting circuits and photonics based physical systems : – Theory : Quantum measurement theory, entanglement, decoherence, exemples of elementary quantum information protocols and quantum gates – Experimental aspects illustrated with superconducting qubits : Two-level systems, Bloch sphere, Rabi oscillations, Ramsey fringes, quantum limits of amplification – Experimental aspects illustrated with photonics : Coherent states, single photons, quantum cryptography, quantum teleportation Physics, Engineering, Earth and Environmental Sciences and Mechanics Department (UFR PhITEM) Grenoble – Domaine universitaire IGMAYCGF 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 models and methods in operations research

This course presents advanced methods and technics for Operations Research. Reminder : Linear Programming, Dynamic Programming, MIP modelling and BB Complexity (P, NP, Co-NP) Advanced MIP : formulation, cuts, bounds, applications, lagragian relaxation, column generation Benders decomposition, Solvers Constraint Programming Heuristics local search approximation algorithms Computer Science, Mathematics and Applied Mathematics (UFR IM²AG) Grenoble – Domaine universitaire IGW1U3SV 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.

Alleviating poverty and inequalities : theories, concepts and tools

Poverty is the core problem of developing countries and at the heart of development objectives and programmes. Since the recent global financial crisis, poverty and social inequalities also turned out to be a rising issue within Western countries. The lecture part of this course provides an overview on the global evolution of poverty and inequalities as well as conceptual frameworks for thinking about the multiple dimensions of poverty and their causes. The following two seminars are designed to familiarise the students with innovative project strategies and tools for poverty alleviation and social cohesion. A special issue will be the rising relevance in the Global North of concepts and strategies which have been designed for the Global South. Alpine Geography and Urban Planning Institute (IUGA) Grenoble – Vigny Musset IGI27O3T 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

Advanced security

The advanced security module proposes to investigate deeper certain topics in security which include privacy models (k-anonymity, differential privacy and privacy by design), secure data structures (hash chain, Merkle’s tree), (in)secure communication protocols (WEP and WPA protocols) and anti-viruses. The module focuses on several case study on privacy enhancing technologies (PETs), blockchain (along with an overview of cryptocurrencies), wireless attacks with scapy, malware detection using YARA and ClamAV. Computer Science, Mathematics and Applied Mathematics (UFR IM²AG) Grenoble – Domaine universitaire IFNPFKFJ 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.

Private International Law

This course will begin with a general presentation on concepts of Private International Law. It will first explain both the history and sources of this peculiar branch of law, and then present its methods, as well as its role and importance in today’s fast evolving European market. Afterwards it will focus on conflict of laws theory, which aims to determine how courts determine what national laws are applicable to international disputes. All mechanisms involved in the resolution of such matters will be defined before examining various detailed rules of Private International Law related to specific areas such as family law, contracts and torts. The European Union’s action in this field will be particularly stressed. In conclusion, the course will give an overview of the European Regulations on Conflicts of Jurisdiction, as this knowledge is vital to anybody intending to understand the ins and outs of private international law in Europe. Grenoble Law School Grenoble – Domaine universitaire IK6ULS09 4 3rd year of bachelor 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). Oxana SAVELIEVA-MARIE
droit‐law‐international@univ-grenoble-alpes.fr

Advanced aspects of operating systems

Operating systems are the foundation of computer systems, often complemented with middleware systems to help with more domain-specific features. Operating systems wrap the underlying hardware platforms into an effective software platform, creating an illusion, hidding hardware details away and offering instead high-value services. In the end, operating systems create an effective virtual world for software developers and end users alike. As such, operating systems are virtual machines. Virtual platforms come in many shapes and sizes, creating virtual platforms with different specifics, for different application domains. Some virtual platforms are real-time operating systems for mission-critical systems such as avionics or aerospace systems. Others are sheer veneers above very specific hardware like in Game consoles or Aduino-like embedded systems for the Do-It-Yourself communities. Others are combining operating system kernels with high-level languages, such as the Google Android platform that combines the Linux kernel and the Java virtual machine. Others are for world-scale cloud infrastructures, often associating modified Linux and hypervisors, along with advanced distributed services such as shared storage or shared FPGA accelerators. Across this massive domain, there are only few key enabling technologies, technologies that we will help you learn and master in this course. The course starts with understanding some of the key evolutions of current hardware platforms; platforms facing the challenge to deliver increasing performance while keeping the energy consumption under control. The course then discusses what is an operating system kernels and what are the architectural options that have been tried so far, such as discussing monolithic kernels, micro-kernels, and hypervisors. We will discuss these approach, debating their original design goals and comparing them with the characteristics of their implementations. Then the course moves onto the key enabling technologies for the Cloud infrastructures. These technologies are the enablers of popular online services such as search engines, social networks, or streaming services. They are also the enablers of Big Data applications. All these complex systems share similar requirements such as requiring large amount of computing resources and having stringent constraints in terms of reliability, availability and performance. To fulfill such requirements, these complex systems are implemented above Cloud platforms that exploit large numbers of servers hosted in a data center, forming so-called “rack-scale” or even “warehouse-scale” platforms. These platforms are at the heart of companies like Google, Facebook, Twitter or Amazon. Everyday, these companies face the challenge of exploiting data center resources efficiently and reliably through well-designed software infrastructures. While a few challenges are specific to the massive size of the these giants, most of the design principles they rely on are also of interest for smaller scale systems. Through this course, you will learn about these design principles and get a chance to understand the underlying theoretical and practical challenges, including the study of scalability, fault tolerance, and data consistency—all in the context of virtualized hardware platforms. Computer Science, Mathematics and Applied Mathematics (UFR IM²AG) Grenoble – Domaine universitaire IGDOSOJ0 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 cryptology

1. Symmetric cryptology : overview of design and cryptanalysis techniques of block ciphers – Theoretical foundations – Cryptanalysis aspects – Design elements 2. Asymmetric cryptography – Cryptosystems based on the discrete logarithm problem : . standard groups used . DDH, ElGamal, security assumptions, signature schemes… . bilinear maps, identity-based encryption . generic attacks, index calculus, special focus on elliptic curves – Post-quantum cryptography : . super-singular isogeny Diffie-Hellman key exchange . multivariate cryptography and polynomial system solving : isomorphism of polynomials problem, MQ-schemes, Gröbner bases and their computation Computer Science, Mathematics and Applied Mathematics (UFR IM²AG) Grenoble – Domaine universitaire IFNPDYKV 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 imaging

In this course, we will first focus on linear methods for image denoising. In this regard, we will investigate some properties of the heat equation and of the Wiener filter. We will then introduce nonlinear partial equations such as the PeronaMalick model for noise removal, and some other similar models. A last part of the course will be devoted to edge detection for which we will consider the Canny approach and, more precisely, we will deal in details with active contours and level sets methods. Computer Science, Mathematics and Applied Mathematics (UFR IM²AG) Grenoble – Domaine universitaire IGNFYEFF 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.

Welfare State in Europe

http://www.sciencespo-grenoble.fr/formation/gouvernance-europeenne/ Sciences Po Grenoble School of Political Studies Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères M1UE S2-WSE 1st 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). M. Fabien Terpan
fabien.terpan@sciencespo-grenoble.fr