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This course attempts to develop ability of analysis and application of techno-economic systems focusing on institutional innovation by providing the following 3 successive lectures: Reviews of techno-economic analysis of innovation value chain: production, diffusion and consumption. Basic understanding of institutional innovation governed by co-evolution between innovation and institutional systems consisting of socio-economic system, entrepreneurial organization/culture and historical perspectives. Empirical analyses of the sources of the success and failure of the institutional innovation in leading countries both in developed and emerging.

The inverse problem of Calderón consists in determining the electrical conductivity properties of a medium from voltage and current measurements on the boundary. Mathematically, this reduces to an inverse boundary value problem for an elliptic partial differential equation. We will explain a few recent results in dimension two concerning the Calderón problem, when the background space is a Riemann surface. This involves methods from complex analysis, partial differential equations and geometry of Riemann surfaces.

The course gives a view to the data analysis in the business. Data science is a novel term that refers to practical application of statistics, machine learning, computing, visualization and data warehousing. The lectures are given by experienced business professionals who use data science in their everyday work. Topics such as supply chain analytics, marketing analytics and recommendation engines are covered.

Multi-wave imaging methods, also called hybrid methods, attempt to combine the high resolution of one imaging method with the high contrast capabilities of another through a physical principle. One important medical imaging application is breast cancer detection. Ultrasound provides a high (sub-millimeter) resolution, but suffers from low contrast. On the other hand, many tumors absorb much more energy of electromagnetic waves (in some specific energy bands) than healthy cells. Photoacoustic tomography (PAT) consists of sending relatively harmless optical radiation into tissues that causes heating which results in the generation of propagating ultrasound waves (the photo-acoustic effect). Such ultrasonic waves are readily measurable. The inverse problem then consists of reconstructing the optical properties of the tissue from these measurements. In Thermoacoustic tomography (TAT) low frequency microwaves, with wavelengths on the order of $1m$, are sent into the medium. The rationale for using the latter frequencies is that they are less absorbed than optical frequencies. Transient Elastography (TE) images the propagation of shear waves using ultrasound. Multi-wave imaging methods lead to a rich supply of new mathematical questions that involve elliptic and hyperbolic partial differential equations. We will discuss some of the inverse problems arising in these imaging techniques with emphasis on PAT.

  Teaching and learning science is a complex activity where language has a central role. Language is a tool to communicate concepts, to construct them and to articulate interactions in the classroom.  Developing an efficient use of language is, therefore, one of the main aims of teacher professional development.  This course will introduce: Theoretical ideas on the relation between language and learning Research-based insights on how language can be effectively used for the teaching of scientific concepts Basic tools to enable teachers to research the use of language in their classroom All these elements will be brought together to provide a model for dialogic education in science, which aims at promoting deeper conceptual understanding. During the 10 hours of the course we will discuss, among others, the following ideas: Piaget, Vygotsky and socio constructivists perspectives on language and learning Different types classroom communication: communicative approaches How to chose a type of communication according to teaching aims The development of dialogic tools for engaging students in discussions Time management and learning Simple ways of researching the use of language in teaching

This course presents the fundamentals and most recent developments in biogas technology for sustainable renewable energy production. Anaerobic microbiology, biochemistry and reactor design are described as well as the application of biogas technology in municipal and industrial waste management, and in industrial-scale energy production from agro-wastes and crops. The concept of biogas production from food waste as second generation biofuel source, including collection, pretreatment and process optimisation, is presented with consideration of its energy and mass balance and carbon footprint for sustainability criteria. The different potential uses of the produced biogas and the digestate are also discussed, including environmental impacts and benefits on greenhouse gas emissions and nutrient recycling.