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Dual international masters in Mathematical informatics


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Welcome

The Dual International Masters in Mathematical Informatics is a unique programme delivered by two academically renowned Universities in Europe: Liverpool Hope University, UK and the Université Catholique de l’Ouest, France.

By utilising the teaching knowledge, research excellence and first class faculties of two leading European institutions, the Dual International Masters in Mathematical Informatics provides a world class academic curriculum and practical learning experience for the technology and scientific graduates of the future. The Dual International Masters in Mathematical Informatics programme provides students the opportunity to study both in the UK and in France where they will gain two degrees in less time and at a lower cost than it would take to earn the degrees independently.

Successful graduates will gain the MSc Computer Science and Informatics, awarded by Liverpool Hope University, UK and MSc Applied Mathematics, taught at the Université Catholique de l’Ouest, and awarded by the University of Angers, France.

The programme includes a paid internship where students will be working on a technology project within a company. The internship gives an opportunity to utilise the technical, scientific and academic knowledge learnt within the programme whilst further developing communication, teamwork and interpersonal skills. The internship cumulates in a research capstone project that is assessed by both Liverpool Hope University and Université Catholique de l’Ouest.

Faculty

Department of Computer Science, Liverpool Hope University

Jia Hu Ph.D. He is a Lecturer in the Department of Computer Science at the Liverpool Hope University, United Kingdom. He received his PhD degree in Computing from the University of Bradford, United Kingdom, in 2010, and the MSc and Bsc degrees in physical electronics and communication engineering from Huazhong University of Science and Technology, Wuhan, China, in 2006 and 2004 respectively. He has published two book chapters and over 20 research papers at prestigious international journals (e.g., IEEE Transactions on Wireless Communications, Computer Networks, Wireless Communications and Mobile Computing, Computer Communications) and reputable international conferences (e.g., ICC, GLOBECOM, WCNC). He served as a TPC member of many international conferences (e.g., ScalCom (09-10) and CIT’10, AINA’12) and a reviewer of high-quality journals and conferences (e.g., IEEE TMC, TPDS, INFOCOM, GLOBECOM, and CIT). He also served as a guest editor of Telecommunication Systems, a Local Arrangement Chair of IEEE ICESS’10, and a Workshop Co-chair of IEEE ICESS-ESA’10 and IEEE FCST-AIPNGN’11. He received the Outstanding Service Award for his contributions in IEEE ICESS’10. He has been involved in the UK EPSRC and the EU FP-6 projects as a researcher and developer of new analytical tools. His research interests include performance modelling and analysis, wireless networking, mobile computing, cross-layer optimization, and resource management.

Institute de Mathématiques Appliquées, Université Catholique de l’Ouest, France

Eric Pinson, Ph.D. He is a Full Professor at the Institute of Applied Mathematics of Université Catholique de l’Ouest (Angers, France) a member of the Laboratoire d’Ingénierie des Systèmes Automatisés (LISA) research laboratory at Université d’Angers.  He holds a Ph.D. (1988) in applied mathematics and informatics and an HdR (1994) from Université Paris VI (France). His research has been published in Management Science, Discrete Applied Mathematics, European Journal of Operational Research, Annals of Operations Research, and RAIRO Recherche Opérationnelle, among others. He currently serves at the boards of the French society of Operational Research (ROADEF), the LISA research laboratory, and the Institute for Fundamental and Applied Research (IRFA for its acronym in French). He is also a co-founder and the chair of the LigéRO research group, a local federation gathering over 50 researchers in the field of operations research working in the Pays de la Loire region. Professor Pinson was awarded 1993 the ROADEF Robert Faure award for his contributions to the field of operations research.

Laurent Péridy, Ph.D. He is a Full Professor at the Institute of Applied Mathematics of Université Catholique de l’Ouest (Angers, France) and a member of the Laboratoire d’Ingénierie des Systèmes Automatisés (LISA) research laboratory at Université d’Angers.  He holds a Ph.D. (1996) in Systems Control and an HdR (2007) from Université de Technologie de Compiègne (France). His main research interest is scheduling theory and practice. His research has been published in the European Journal of Operational Research, Annals of Operations Research, and the Journal of Logic Programming, among others. He is also a member of the LigéRO research group, a local federation gathering over 50 researchers in the field of operations research working in the Pays de la Loire region. Since 2010, professor Péridy serves as the vice-president of Université Catholique de l’Ouest.

Pierre Chauvet, Ph.D. He is a Full Professor at the Institute of Applied Mathematics of Université Catholique de l’Ouest (Angers, France) and director of the research team of the Institute. He is also a member of the Laboratoire d’Ingénierie des Systèmes Automatisés (LISA) research laboratory at Université d’Angers. He holds a Ph.D. (1993) in Automatics from Université d’Angers (France) and an HdR (“accreditation to supervise research” - 2001) in Computer Science from Université Paris 8 (France). His current research interests include artificial neural networks, modelling and simulation of complex systems, biomedical applications. He is co-founder or scientific advisor of several companies (“in-silico” experimentation for pharmaceutical corporations, and geostatistics, risk-analysis and simulation in global security), and also co-founder and director of the GRECO (research group on complex systems).

David Rivreau, Ph.D. He is an Assistant Professor at Université Catholique de l’Ouest (Angers, France). He is also a member of the Laboratoire d’Ingénierie des Systèmes Automatisés (LISA) research laboratory at Université d’Angers and holds a Ph. D. (1999) in Control of Systems from Université de Technologie de Compiègne (France). His current research interest includes scheduling and employee timetabling problems. His research has been published in European Journal of Operational Research and in books published by Springer, Wiley and Chapman & Hall.

Lan Nguyen-Phuong, Ph.D. She is a lecturer in Computer Science and teaches object-oriented programming, algorithmic, logic and constraint programming and web development. One of her main area of research is the design and implementation of constraint logic programming systems.

Program

The programme combines academic and practical courses plus an internship and capstone project. All teaching and assessment is conducted in English language.

You will be assessed for each module. Assessment methods will vary and may include academic essays, reports, presentations, examinations, and a capstone project.

In the first year, four courses are taught at the Department of Computer Science, Liverpool Hope University, UK. In the second year, four courses are taught at the Institute Mathematique Appliquées, Université Catholique de l’Ouest, France.


Non-native speakers of French can opt to take a two week intensive French language programme prior to the beginning of the teaching to help secure a good working knowledge of the French language which is was deemed essential both to enable students to fully benefit from the experience of living in France but also in order to secure a paid internship with a French employer.

The taught part of the programme is followed by a paid internship and dissertation project to be completed in France, and a capstone project that is assessed by both universities.

ear One at the Department of Computer Science, Liverpool Hope University

Computational Modelling and Simulation (compulsory – 7.5 ECTS / 15 CATS):
This course develops understanding and knowledge of the principles, techniques and design of computational modelling and their applications. Additionally the course covers the use of simulation tools and techniques for computational problem solving applications.

Algorithms (compulsory – 7.5 ECTS / 15 CATS):
This course gives a firm grounding in the philosophy and evolution of algorithmic design and analysis for computer science, engineering and information systems. The course provides in-depth knowledge for you to apply and evaluate algorithmic solutions and complexity analysis for scientific problem solving, for example, cryptography and network security, pattern recognition and classification. You will review current issues and future trends, for example, quantum computing.

Innovations in Computer Science (compulsory – 7.5 ECTS / 15 CATS):
You will examine the particular research interests of Computer Science Department. This gives a valuable insight into the breath and focus of the research in the department and will therefore be useful in helping the forming the choice of subject addressed by the capstone project. Topics include bio-inspired computing, spiking neural networks, cloud based mobile systems, data mining systems, intelligent agents, and computer grid systems.

Research Methods for Computer Science (compulsory – 7.5 ECTS / 15 CATS):
The course will expose you to the established techniques of research and enquiry that are used to extend, create and interpret knowledge in computer science. This involves the ability to evaluate critically current research and theories in computer science, and propose possible alternative directions for further work. Underpinning this module is the desire to educate the student so that they are able to deal with complex issues at the forefront of the academic discipline of computer science in a manner, based on sound judgements, that is both systematic and creative; and be able to communicate conclusions clearly to both specialists and non-specialists.

Embedded Systems and Robotics (elective – 7.5 ECTS / 15 CATS):
For the embedded computing part of this course you will examine PIC, AVR (Android) and ARM processors. These low power devices are used in billions of devices that relatively few computer professionals know how to program, yet about 98% of new CPUs produced each year are embedded. In fact there are now more ARM chips than people in the world! You will pay particular reference to these processors low energy requirements and consequently both their use in green computing and in novel parallel processing systems. Robotics is a subject that is gaining popularity not only in industry but also in other areas of society such as in the home, in schools and in hospitals. The course will examine the Robotics Operating System and robotic programming languages, such as Urbi. You will have the opportunity to use a number of devices and get an insight into the technologies used in this fledgling industry.

Cloud Computing and Web Services (elective – 7.5 ECTS / 15 CATS):
Cloud computing is a natural evolution of the widespread adoption of virtualization, service-oriented architecture and utility computing that companies such as Microsoft (Azure), Amazon (Elastic Compute) and Google (appEngine) are amassing massive amounts of resources and R&D to develop. These companies see this technology as supporting a fundamentally new business model, and each of company sees this technology as a game changer. You will study the concepts behind the idea of cloud computing and web services and gain practical knowledge of Azure, the .Net framework and C#. Comparisons between different technologies used to implement cloud and web services will be made with reference to your practical knowledge of the .Net framework. Particular reference will be made to the research potential of cloud computing and advanced web services.

Mobile and Ubiquitous Computing (elective – 7.5 ECTS / 15 CATS):
You will examine mobile phone OSs (Android) and Windows Phone 7. You will learn how to develop software for these devices using JavaFX for mobile and C#/ Silverlight for Mobile.
Particular reference will be made to the challenges of creating new types of software application and the role mobile computing has in the “5th wave of computing”. It is envisaged that knowledge taught on this course will be particularly useful for the rapidly increasing mobile phone software market.

Human Computer Interaction (elective – 7.5 ECTS / 15 CATS):
Human computer interaction (HCI) is the study of interaction between people and computers and is the most multidisciplinary module available in the MSc Computer Science. It is often regarded as the intersection of computer science, behavioural sciences, design and several other fields of study. In the course you will draw upon many different areas of computer science as well as communication theory, graphic and industrial design disciplines, linguistics, social sciences, cognitive psychology. You will also examine techniques in computer graphics, operating systems, programming languages, and development environments. This course focuses on improving the interactions between users and computers by making computers more usable and receptive to the user’s needs. You will specifically study: methodologies and processes for designing interfaces; methods for implementing interfaces (e.g. software toolkits and libraries; efficient algorithms); techniques for evaluating and comparing interfaces; developing new interfaces and interaction techniques; developing descriptive and predictive models and theories of interaction.

E-Business (elective – 7.5 ECTS / 15 CATS):
E-business encompasses, and is more than, e-commerce. You will examine e-commerce technology, such as the internet and web-based technologies. You will cover theories and concepts that will equip you with the knowledge and understanding of e-business strategies and investigate innovative solutions to conducting business online. You will also explore the legal and ethical issues surrounding e-business strategy.

Year Two at Institute Mathematique Applique, Université Catholique de l’Ouest, France.



Computational Optimization and Application (compulsory - 10 ECTS credits / 20 CATS):
This course aims to reinforce your skills on problem solving through advanced techniques of computational optimization. You will study several practical applications of complex systems optimization. The course covers several optimization techniques including: dynamic programming, integer linear programming, meta-heuristics, Lagrangean duality, branch & cut / price; and a number of practical applications such as: production planning and scheduling, lot-sizing, transportation, network optimization, facility layout, and yield management.

Systems Analysis and Design (compulsory - 8 ECTS credits / 16 CATS):
This course introduces you to recent developments in systems analysis and design. In particular, you will study advanced system development life cycle methodologies and technologies and then apply them to in a concrete project. The course covers methodologies for systems development, and new technologies for software development.

Complex Systems (compulsory - 8 ECTS credits / 16 CATS):
This course aims to provide you with an overview of complex systems modelling. The concepts of systems theory and complexity are addressed through different disciplines and cases of application. Specific focus is put on discrete event simulation. The course covers system theory, complexity, complex systems applications such as: semantic web, ecosystems, discrete event simulation.

French as a foreign language (compulsory for non-native French speakers - 4 ECTS credits / 8 CATS):
This course is specific to the non-francophone students and aims to provide you the basics of French conversation.

English and Innovation (compulsory for non-native English speakers - 8 ECTS credits / 16 CATS):

This course consists of two distinct parts and is intended for non-native English speakers. In the first part you will work on your professional English skills. In the second part, you will be given an introduction to innovation.

Internship and capstone project (compulsory - 30 ECTS credits / 60 CATS):

The internship is designed to provide you with the opportunity to have a first-hand professional experience either in a corporate or a research environment. According to your future career goals or aspirations, you will apply effectively your skills on concrete problems with tangible results that will support your resume. With the support of an academic supervisor/advisor, you will also develop a research capstone project in connection with your internship.

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Contact

At UNIVERSITÉ CATHOLIQUE DE L'OUEST
Dr. David RIVREAU
Institut de mathématiques appliquées (IMA)

3 place André Leroy
BP 10 808
49 0008 ANGERS, cedex 01
Tél. : +33 2 41 81 67 16
E-mail : david.rivreau@uco.fr

At LIVERPOOL HOPE UNIVERSITY
Professor Atuyla NAGAR, Head of department
of computer and mathematical sciences

LIVERPOOL, L16 9JD, UK
Tél. : +44 151 291 3930
E-mail : nagara@hope.ac.uk

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