Format samenvatting aanvraag. Algemeen Soort aanvraag (kruis aan wat van toepassing is):

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1 Format samenvatting aanvraag Algemeen Soort aanvraag (kruis aan wat van toepassing is): Naam instelling Contactpersoon/contactpersonen Contactgegevens Opleiding Naam (Nederlands en evt. Engels) Graad Inhoud (korte beschrijving programma) Nieuwe opleiding X Nieuwe opleiding hbo master Nieuwe opleiding Joint Degree Verplaatsing bestaande opleiding Nevenvestiging bestaande opleiding Hanze Hogeschool Groningen Esther Vertelman (projectleider), Marjolein Annen, Michel Berends Hanze Institute of Technology Industrieweg 34a 9403 AB Assen Esther Vertelman: e.j.m.vertelman@pl.hanze.nl; Marjolein Annen: m.d.annen@pl.hanze.nl; Michel Berends: m.a.m.berends@pl.hanze.nl; Master Advanced Sensor Applications Master of Engineering The Master program Advanced Sensor Applications is A Professional Master of Engineering With emphasis on Smart information processing of sensor data, Developing applications and services beyond the prototyping stage Addressing societal trends and technology developments Big Data, Sensor Services, Extreme Analytics, Data Stewardship Training advanced technical and professional skills Both generic engineering and specific to the domain Initially with a specialisation module in Health With ambition to add modules in Energy, Mobility, Security, At the end of the programme the students are capable of: Modelling Meaningful Data:

2 The graduate creates models to advance sensor systems that transform raw sensor data into meaningful data for a client or an automated system by applying complex analysis methods, taking into account state-of-the-art technologies and using model based reasoning from an multi-disciplinary perspective. Building Intelligent Architectures: The graduate independently designs the architecture of advanced sensor systems that processes big data and use high performance processing. Within the architecture the graduate is able to make critical decisions on the location of system intelligence, by taking into account technical and financial specifications, as well as ethical and environmental considerations. Creating Reliable Services: The graduate advices on or creates services for non-specialised clients that provide reliable decisions based on complex data from both advanced sensor systems and contextual information, using the data and data flow in a responsible way. To this end, the graduate takes the lead in gathering requirements and boundary conditions from the full range of stakeholders, in a potentially international environment. Designing Towards Prototype: The graduate extends upon a validated proof-of-concept to improve the robustness, reliability and usability of an advanced sensor system by user acceptance testing, system level field testing while utilising experts in the field of application when necessary. In doing so, the graduate assesses the effects of the system on the environment, as well as the acceptance factor and societal impact. Professional Skills: The graduate performs as a leader in a team that may be composed of different disciplines and nationalities by independently creating a network of stakeholders that can help in solving a problem in an interdisciplinary setting. The graduate acts as a proactive sparring

3 partner for different stakeholders in the project by advising clients, asked and non-asked for, on conceptual solutions and optimal ways to analyse complex systems and data flows, by judging enduser implications, using creativity and self reflection skills. Being Aware of Impact: The graduate optimizes a advice or design of an advanced sensor application through critical reflection on the impact on society and environment, based on ethical aspects, cradle-to-cradle, risk analysis, green engineering and unexpected information. In this process, the graduate proactively organises stakeholder groups and assessment meetings. Performing Responsible Research: The graduate independently gathers, selects and analyses relevant (new) information in an responsible way, formulating and critically verifying hypotheses through analysis or experiments, in order to validate and develop advanced sensor systems in unfamiliar contexts. By evaluation of the outcome of the experiments, the graduate contributes to the state of the art in the field of advanced sensor technology and finds original solutions to existing problems. Contributing to Innovation: The graduate formulates new business cases by proactively collecting business data. The graduate identifies any intellectual property following from research and development activities. The graduate gains knowledge by continously critically judging insights originating from the forefront of advanced sensor technology and being aware of priorities of stakeholders. Applying Sensor Technology in Health: The graduate applies the latest developments in advanced sensor technology and uses interdisciplinary knowledge in order to solve an unfamiliar, health-related problem in society by careful consideration of ethical implications. Developing Health Applications:

4 Inrichting van de opleiding (indicatie curriculum per jaar) The graduate develops advanced sensor systems for health applications compliant with applicable regulations, health standards and financial models. De opleiding is ingedeeld in 2 semesters waarbij het eerste semester bestaat uit twee kwartalen van elk 15 EC. Het eerste kwartaal richt zich op algemene verdiepende vaardigheden en kennis van sensortechnologie. In het tweede kwartaal wordt in eerste instantie een specialisatie aangeboden op het gebied van sensortechnologie in het domein Health. In de toekomst is het de bedoeling om meerdere specialisaties in verschillende domeinen aan te bieden. In het tweede semester zal de student een afstudeeropdracht uitvoeren binnen zijn specialisatie. De volgende modules zullen worden aangeboden: Module 1. Advanced data analysis This module treats both Mathematics (in particular Least Squares, Partial differential equations, Statistics and stochastics), Foundational techniques (Kalman filtering, Modulation & demodulation, Dynamic systems) and Specialist techniques (Pattern recognition, Basic artificial intelligence). It progresses the knowledge and skills obtained in the ASA Bachelor to the level required for the Master program. Module 2. Modelling and simulation This module covers both theory and tools required to model complex systems and to analyse and represent simulated data. Theory includes model based reasoning and state space modelling, but also introduces concepts like data veracity. Matlab is introduced as a modelling tool and then simulation skills are expanded by using Matlab toolboxes, including Simulink. Module 3. Data centric architectures In this module students are trained in architectural design at two conceptual levels. At the level of System Architectures for big data applications they learn about top-level tradeoffs, e.g. between measured datarates and required processing power. They get introduced

5 to high-performance computing and streaming database technology. At the level of Digital Signal Processing Architectures, they learn key concepts (fixed point, floating point) and technologies (FPGA, GPU, Mixed signal chips). Linear and Functional programming as well as Parallel processing are covered. Module 4. Products and services in Health This module leads students along the full Vshaped design process, using casuistic from the Health domain: - Requirements Engineering: from user requirements to production requirements - System Design: lifecycle engineering, risk management, power analysis, cost optimization - Advanced Technologies: MWAS, QPCR, Vision, Beamforming - Design for production: material & industrial design, EMC, component selection, deployment - Validation & Verification: system level field testing, user acceptance Module 5. Professional skills In this module students develop essential nontechnical skills that will enable them to excel in their chosen line of work. Three categories are covered: - Personal skills (Interaction with clients; interviewing techniques; career planning; building up a network; creativity; leadership skills; life long learning) - Research skills (Research methodology, communication of results; finding, reading and interpretating scientific articles; hypothesis formulation; reasoning about references; being critical; professional writing) - Ethical awareness (Cradle-to-cradle; impact of solutions on people/environment; evaluating techniques; green engineering; risk analysis; reflection sessions) Module 6. Sensor applications in Health This module explores biology (in particular human physiology), technology (biochemical sensors), diagnostics and the application domain (hospital and home care and monitoring, quality systems and ethics).

6 Module 7. Dissertation (= second semester) The final graduation project. Studielast 60 EC s, De opleiding gaat na of het wenselijk is, in het kader van een honours opleiding, de studielast uit te breiden naar maximaal 75 EC s met behoud van de studieduur van één jaar Vorm van de opleiding (voltijd, deeltijd, duaal) Voltijd Gemeente waar de opleiding wordt gevestigd Assen Doelgroep van de opleiding Bachelor of Engineering, Bachelor of ICT, Bachelor of Applied Sciences Croho (sub)onderdeel en motivering Techniek Motivering: De master Advanced Sensor Applications is een verdieping op de bachelor Advanced Sensor Applications wat een bachelor of engineering is. Geplande startdatum opleiding September 2014 Indien nadere vooropleidingseisen worden Bachelor of Engineering / Bachelor of Applied gesteld; voorstel daartoe; Science / Bachelor of ICT Indien een capaciteitsbeperking wordt ingesteld; hoogte en motivering. Beschrijving arbeidsmarktmogelijkheden (beroepen en branches) + eventueel pre-master programma (zie bijlage met admission requirements) - Graduates from the ASA Master will find jobs within a wide range of branches, that can be clustered in three broad categories. - Application domains: branches where there is an increasing need for integration of sensor data in business processes and operations. Here the emphasis is on the application of a product or service: technology developed/provided elsewhere has to be merged into existing processes, sensor data have to be analysed to become useful for monitoring and control. - Technology domains: branches where new and advanced products/services are developed for one or several application domains. Here the emphasis is on the development of a product or service, that has to be useful/marketable. - Scientific research: science domains confronting a data deluge because of the increasing performance of advanced instrumentation. Here the emphasis is on the integration of new technologies and on the operation of advanced instrumentation in a research environment,

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