EIT ICT Labs MASTER SCHOOL ES Programme Specialisations

Transcription

1 EIT ICT Labs MASTER SCHOOL ES Programme Specialisations

2 ES EIT ICT Labs Master Programme Embedded Systems The programme in Embedded Systems focuses on enabling technologies and design methodologies for computer systems, which are embedded as integral part of larger systems, designed for specific control functions of devices with various electronic and mechanical components. More than 98% of the world s processors are located in Embedded Systems. Embedded Systems are used everywhere, in satellites, robots, cars, airplanes, mobile telephones down to the smallest radio transceiver, elevator, or washing machine. They are an integral part of Europe s electronic production and are located in products from many European companies like ABB, Ericsson, Phillips, and Siemens. European companies are world leading in Embedded Systems design and have a strong demand for highly skilled, creative engineers. More information: Contact: Juha Plosila (juplos@utu.fi)

3 Specialisations Specialisations are provided during the second year. The ES programme offers 6 specialisations, each at a different location. To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. The specialisations cover:! Embedded Platforms at KTH! Embedded Multicore Processing at TU Berlin! Embedded Networking at TU Eindhoven! Mobile Cyber-Physical System at Aalto University! Energy Efficient Computing at TUCS! Real-Time Embedded System at UNITN

4 Embedded Platforms (KTH, Royal Institute of Technology) Dr. Johnny Öberg has been an Associate Proffessor in Electronic System Design at the Royal Institute of Technology (Kungl. Tekniska Högskolan - KTH), Stockholm, Sweden since He has extensive educational experience, and has supervised more than 100 MSc theses. He has been involved in the creation of four MSc programs at KTH. He is not only the coordinator of the Embedded Platform track of the EIT programme, but also the program director for the two regular MSc programmes on Embedded Systems and System-on-Chip programmes at KTH, and responsible for ICES Education. On the research side, he was one of the pioneers in the early research on Network-on-Chip architectures and Grammar-based Hardware Synthesis. He has published more than 80 internationally reviewed papers in areas like Network-on-Chips, Grammar-based Hardware Synthesis, High-Level Synthesis, HW/SW Co-Design, and High-performance Hardware Architectures for a number of application areas. His current research interests include design and test of Heterogeneous Real-Time Multi/Many-core Systems, Computationally Intensive Hardware Architectures, and Reconfigurable Systems. He also has entrepreneurial experience and started and ran his first company in In 2003, he participated in the Kista Innovation and Growth Entrepreneurial programme and got first prize for best Business plan. In , he was working part time in industry as an FPGA/Embedded Systems/VHDL design consultant. This track presents platforms commonly used in the industry, and studies architecture and design of homogeneous and heterogeneous platforms. Embedded platforms consist of a hardware architecture for computational units, interconnect and the memory system, and hardware dependent embedded software such as drivers and real-time operating systems. Future Media and Content Delivery: Several of the presented platform are optimized for multi-media processing and wireless communication, which are prominent application case studies in several courses and projects. Many industrial master thesis projects also focus on multi-media processing and wireless communication. Intelligent Transportation Systems: A second focus is on platforms for automotive electronics in particular for the in-car entertainment component and the traffic management systems. Contact: Johnny Öberg

5 The KTH curriculum comprises of three mandatory courses (in total 22.5 credits) plus one electable course. Embedded Platforms Specialisation Mandatory Courses (22.): Digital Design using HDLs Design Project Research Methodology and Scientific Writing Embedded Platforms Specialisation Electives: System Design Languages Embedded Hardware Design in ASICs and FPGAs Embedded Systems Design Signal Theory Digital Communications Radio Electronics The programme has a large industrial contact network through ICES, the KTH Innovative Centre for Embedded Systems. ICES organize regular meetings with the Swedish Embedded Systems Industry to present thesises and job opportunities.

6 Embedded Multicore Processing (TU Berlin) Prof. Ben Juurlink is the coordinator of the Embedded Multicore Systems programme at TU Berlin, Germany. He is a full professor of Embedded Systems Architectures of the Electrical Engineering and Computer Science faculty of TU Berlin. He has an MSc degree from Utrecht University (NL) and a PhD degree from Leiden University (NL). In he worked as a post-doctoral research fellow at the Heinz Nixdorf Institute in Paderborn (DE). From 1998 to 2009 he was a faculty member in the Computer Engineering laboratory of Delft University of Technology (NL). His research interests include multi- and manycore processors, instruction level parallel and media processors, low-power techniques, and hierarchical memory systems. He has (co-) authored more than 100 papers in international conferences and journals and received a best paper award at the IASTED PDCS conference in He has been the leader of several national projects, work package leader in several European projects, and is currently coordinator of the EU FP7 project LPGPU (lpgpu.org). He is a senior member of the IEEE, a member of the ACM, and a member of the HiPEAC NoE. He served in many program committees, is area editor of the journal Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), and is general co-chair of the HiPEAC 2013 conference. Multicore processors are increasingly being deployed in embedded systems. To address this technology trend, TU Berlin offers a specialisation on Embedded Multicore Systems. The programme conveys software as well as hardware aspects. The students acquire skills and knowledge to understand the ongoing technology evolution towards of multicore systems. Designing embedded systems has traditionally required application-specific platform customization. Nowadays, with ever increasing focus on multithreading and power efficiency, future embedded system designers require sufficient knowledge about multicore architectures. Several of these architectures are thoroughly analyzed such as cache-coherent, message passing, distributed memory, COMA, NUMA, and NUCA architectures. Additionally the programme also targets heterogeneous systems, e.g., asymmetric multicores, fused CPUs and GPUs, and accelerators (vector units, DSP units, FPGA-based). In addition to the architectural knowledge, several parallel programming models as well as runtime systems are part of the curriculum at TU Berlin (MPI, OpenMP, Pthreads, OpenCL, OmpSs). For future and even more complex embedded software, it is

7 more challenging to guarantee high quality, reliability and especially real-time performance, while keeping the time-to-market low. Therefore TUB offers courses dealing with analysis and optimization of embedded software as well as other software techniques. TUB curriculum comprises of three mandatory courses (in total 18 credits) plus minimal six credits out of the elective courses. Contact: Ben Juurlink Embedded Multicore Processing Specialisation Mandatory Courses (18 ECTS): Multicore Architecture Parallel Systems Analysis and Optimization of Embedded Systems Embedded Multicore Processing Specialisation Electives: Recent Advances in Computer Architecture Project Optimization of Multicore Systems Seminar Optimization of Multicore Systems Operating Systems Project Distributed Algorithms Recent Advances in Multicore Systems Hot Topics in Operating and Distributed Systems Distributed Algorithms 3 ECTS 3 ECTS 9 ECTS 3 ECTS 3 ECTS

8 Embedded Networking (TU Eindhoven) Dr. Bas Luttik is the coordinator of the Embedded Networking programme at TU/Eindhoven, The Netherlands. He has received his Ph.D. degree from the University of Amsterdam and has held positions at the Centrum for Wiskunde en Informatica (CWI) and the Vrije Universiteit Amsterdam. Currently, he holds a permanent position with the Computer Science Department at TU/e. His research interests include concurrency theory and formal verification of systems. He has served as program chair and program committee member of leading international conferences and workshops and served as a guest editor for a number of academic journals, such as Science of Computer Programming, Journal of Logic and Algebraic Programming, and Mathematical Structures in Computer Science. Contemporary embedded systems are networked in order to share information and resources. Networking has provided both numerous opportunities and interesting challenges for embedded systems. The specialisation at TU/e addresses these opportunities and challenges. It covers aspects of protocol design and verification, managing functional and non-functional aspects of architectural design, mapping to different platforms and finally programming, testing and diagnosis. Some of the application areas, in which the aspect of networking is prominent, are listed below: Health & Well-being: Wireless sensor networks can, for instance, be used to monitor elderly and disabled people living independently. Furthermore they can be used in houses for human-centred interaction. Therefore, the specialisation will teach students how to design and build (wireless) sensor networks. Future Media & Content Delivery: Networks provide new means to distribute media, e.g. TV broadcasts over internet by peer-to-peer systems. Smart Energy Systems: sensors connected in a network and controlled by intelligent algorithms provide the technology to enable energy management. This technology will gain importance due to the increasing complexity of energy networks. Contact: Dr. Bas Luttik

9 TU/e specialisation curriculum comprises four mandatory courses (in total 20 credits), plus 13 credit units of elective courses. Embedded Networking Specialisation Mandatory Courses (20 ECTS): Architecture of Distributed Systems Network Embedded Systems Grids and Clouds Ubiquitous Computing and Activity Recognition Embedded Networking Specialisation Electives: Wireless Communication Physical Aspects of Computer Security Seminar System Architecture and Networks Advances in Networking Energy Efficient Embedded Systems Measuring and Simulating the Internet 3 ECTS 4 ECTS

10 Mobile Cyber-Physical Systems (Aalto University) Are you interested in systems that go far beyond current standalone appliances, laptops, and smartphones? Mobile cyberphysical systems combine computational and physical elements. A mobile cyber-physical system is typically designed as a network of mobile interacting elements instead of as standalone devices. Considering the elements, the ability to communicate and sense their environment in an intelligent manner is essential. Our research and education at Aalto University is concentrated on such themes. The local coordinator for the specialisation, Vesa Hirvisalo is the leader of the related research group at Aalto University and has a long experience in education, is an awarded teacher, and has instructed over 50 theses. He has also worked several decades in collaboration with the related industry and has the experience of getting research results in practical use together with the industry. The core of the specialisation Mobile Cyber-Physical Systems consists of project-based learning courses, in which the student will be trained in understanding the systems as a whole. This core is supplemented by a set of elective courses, which cover special technology needed in realizing such systems. The specialisation promotes research-based innovation that utilizes multi-domain knowledge. The environment of Aalto University provides an excellent setting for this. The university consists of six schools, one for economics, one for arts and design, and four schools for engineering. Considering the larger EIT context, the specialisation is connected to the thematic area of Smart Spaces, where the use of wireless networking and virtual and mixed reality allows embedded systems to be used in new innovative contexts and ways. Contact: Vesa Hirvisalo

11 Mobile Cyber-Physical Systems Specialisation Mandatory Courses (min. 20 ECTS): Web Software Development Seminar on Embedded Systems Embedded Systems Project A Language Course ICT Innovation I&E Minor Thesis ECTS 5-10 ECTS 3 ECTS Mobile Cyber-Physical Systems Specialisation Electives: Digital Image Processing Speech Recognition Multimedia Programming User Interface Construction 4 ECTS 3-4 ECTS

12 Energy Efficient Computing (University of Turku) Prof. Johan Lilius is the leader of the Embedded Systems Laboratory at Åbo Akademi University, and the director of TUCS. Prof. Lilius is the author of over 80 publications, has supervised 4 PhD theses and over 40 M.Sc. theses. He has co-organised several workshops, summer schools and conferences in the area. In 2010 he co-chaired the Applications and Theory of Petri Nets and other Models of Concurrency conference. Prof. Lilius is also an active participant at the Finnish Strategic Centres for Science, Technology and Innovation in the ICT area, is an associate member of the ARTIST network, and the Åbo Akademi University representative in ARTEMISIA. Dr. Pasi Liljeberg is an Associate Professor in Embedded Computing Architectures at the University of Turku (UTU). He received a PhD degree in Electronics and Communication Technology from UTU in He has supervised 8 PhD theses and several M.Sc. theses. His current research deals with adaptive parallel embedded systems, with a special focus on energy efficiency and multiprocessor systems. This includes internet-ofthings, fault tolerant system design and reconfigurable systems. This specialisation prepares its graduate for the challenging design tasks of energy efficient computing systems. The students learn about the theoretical aspects of energy consumption in embedded systems and acquire practical skills to tackle the challenges of energy-aware designs. These skills are essential in design of systems especially in the following thematic areas of EIT: Smart Spaces: Future applications in smart space and mobile domains require increasing computational capacity. However, no revolutionary new energy sources will be available. Instead the needed computational capacity must be provided by improving energy efficiency of algorithms and architectures; Smart Energy Systems: Smart grid solutions are based on energy efficient embedded technologies: increasing intelligence (computational complexity) of a grid should not increase energy consumption;

13 Health & Well-Being: Energy efficient embedded computing will have an essential role in implementing future health & well-being applications and systems. The Energy Efficient Computing specialisation track is hosted by the Turku Centre for Computer Science (TUCS), a joint institute of University of Turku and Åbo Akademi University. Through this arrangement, students can benefit from the facilities and infrastructure of both universities in the same contemporary building. In addition, TUCS has established good connections to the ICT industry in the area through Turku Science Park Ltd. Contact: Johan Lilius + Pasi Liljeberg Energy Efficient Computing Specialisation Mandatory Courses (20 ECTS): Seminar on Energy Efficient Computing Design methods for Energy Efficient Embedded Systems Energy Efficient Embedded Electronics Many-Core Programming Energy Efficient Computing Specialisation Electives: Multi-Media Algorithm Implementation System-on-Chip Design Reconfigurable Computing Seminar on Special Thematic Areas: Smart Spaces, Smart Energy Systems, Embedded Systems in Health and Well Being Applications

14 Real-Time Embedded Systems (University of Trento) Prof. Luigi Palopoli is the coordinator of the Embedded Systems programme at Trento University, Italy. He is an Associate Professor and received his PhD degree from the Scuola Superiore S. Anna, Pisa, Italy, which is one of the most active university sites worldwide on real-time systems. He has a strong network of collaborations with several institutions working on real-time scheduling, control and robotics. He is the coordinator of an EU project on assistive robotics ( The research on embedded system in Trento is carried within the EECS research program at the DISI department. Research activities in embedded systems are on sensor networks, design methodologies, real-time control and robotics. Real-time systems are a particular class of embedded systems that are required to operate in close connection with the environment. The prominent issue for a successful design of a real-time system is its predictability: the system has to be bug free to the maximum degree allowed by the current industrial practice, it has to react to external stimuli in a predictable time and has to optimize resource utilization. To be able to develop a real-time system, a student has to be in command of several foundational disciplines on software development, computing architecture, model-based design. In addition, he/she will be exposed to the most recent trends on safety critical systems, embedded control systems and sensor networks. This rich basis of knowledge is constructed through the mandatory courses and elective courses, while a wide choice of optional courses enable the students to enrich their expertise on areas that are tightly related to embedded systems (e.g., distributed systems, security, software technologies). Laboratory experiences in which the students are required to operate on robotic and multimedia application contribute to the construction of practical skills that prove essential in the daily work experience on embedded real-time systems. Contact: Luigi Palopoli

15 Real-Time Embedded Systems Specialisation Mandatory Courses (24 ECTS): Laboratory of Embedded Control Systems Safety Critical Systems Sensor Networks Architectures for Embedded Systems Real-Time Embedded Systems Specialisation Electives: Real-Time Operating Systems Signals and Systems Optimization of Electronic Systems Nomadic Communication Security Formal Methods 12 ECTS