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  • 1.
    Ali, W
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Hellström, Thomas
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Visual tree detection for autonomous navigation in forest environment2008In: IEEE Intelligent Vehicles SymposiumConference Location: Eindhoven, NETHERLANDS, 2008, , p. 1144-1149p. 1144-1149Conference paper (Refereed)
    Abstract [en]

    This paper describes a classification based tree detection method for autonomous navigation of forest vehicles in forest environment. Fusion of color, and texture cues has been used to segment the image into tree trunk and background objects. The segmentation of images into tree trunk and background objects is a challenging task due to high variations of illumination, effect of different color shades, non-homogeneous bark texture, shadows and foreshortening. To accomplish this, the approach has been to find the best combinations of color, and texture descriptors, and classification techniques. An additional task has been to estimate the distance between forest vehicle and the base of segmented trees using monocular vision. A simple heuristic distance measurement method is proposed that is based on pixel height and a reference width. The performance of various color and texture operators, and accuracy of classifiers has been evaluated using cross validation techniques.

  • 2. Bennedsen, J.
    et al.
    Rouvrais, S.
    Roslof, J.
    Kontio, J.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    McCartan, C. D.
    Collaborative quality enhancement in engineering education: an overview of operational models at a programme level2020In: European Journal of Engineering Education, ISSN 0304-3797, E-ISSN 1469-5898, Vol. 45, no 1, p. 73-88Article in journal (Refereed)
    Abstract [en]

    This article discusses the tension between quality assurance and quality enhancement in engineering education at a programme level. It acknowledges that accreditation has evolved for many years, but does not agilely support innovation or implement changes in educational programmes. Existing quality assurance systems, institutional collaboration networks, as well as new innovative quality enhancement models and processes are described, contrasted and synthesised. Quality enhancement is analysed based on its function as a source of inspiration and dissemination of good practice. The article reflects on a novel and more collaborative approach to quality enhancement, built on the foundations of specific pedagogical standards and rubrics (e.g. CDIO). One solution leading to real continuous quality enhancement could be flexible and agile evaluation processes. These are founded on measurement and rating frameworks and complemented with quality assurance for engineering education. Incremental enhancement is based on relevant needs identified collaboratively between programmes.

  • 3.
    Brink, S.C.
    et al.
    Hague University of Applied Sciences, The Hague, Netherlands.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Thomson, G.
    Aston University, Birmingham, United Kingdom.
    de Hei, M.S.A.
    Hague University of Applied Sciences, The Hague, Netherlands.
    Sjoer, E.
    Hague University of Applied Sciences, The Hague, Netherlands.
    Admiraal, W.F.
    Leiden University, Leiden, Netherlands.
    Mapping current curricular changes in European engineering education2020In: Varietas delectat… Complexity is the new normality: Proceedings SEFI 2019 / [ed] Balázs Vince Nagy; Mike Murphy; Hannu-Matti Järvinen; Anikó Kálmán, European Society for Engineering Education (SEFI) , 2020, p. 1447-1457Conference paper (Refereed)
    Abstract [en]

    In Europe, there is a wide variety of curriculum designs in higher engineering education. Several international networks serve the goal of supporting the inherent need of higher education institutions to continuously improve their programmes, without per se offering a formal accreditation standard. In this paper, two such networks are considered: CDIO and SEFI. The curricular landscape across Europe and across the different engineering disciplines is mapped by means of a survey amongst the members of CDIO and SEFI. The results amongst 82 respondents show that the prevailing curriculum structure defined by focus, set-up and design is a fixed curriculum with flexible elements, focused on theory with skills woven in, and with a subject-centred curriculum, followed by another big group having a flexible curriculum with fixed elements, competency-based, and focusing on skills with theory woven in. Configurations vary based on region, engineering discipline and network membership. Curricular changes in the past three years and coming two years focus mostly on assessment and examination, as well as pedagogics, interpersonal skills and curriculum flexibility. Certain engineering disciplines are more prone to curriculum change than others, such as Design Engineering and Information Engineering. Electric engineering currently shows significantly less curriculum change. When changing the curriculum design, learning goals, learning activities and learning vision are typically seen as a priority in engineering education. The most perceived barriers in the curriculum change process are staff competency and engagement for those about to make changes, and development time and costs for those having made recent changes.

  • 4.
    Brink, Suzanne
    et al.
    Leiden University, Leiden, Netherlands.
    Carlsson, Carl Johan
    Chalmers University of Technology, Gothenburg, Sweden.
    Enelund, Mikael
    Chalmers University of Technology, Gothenburg, Sweden.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Keller, Elizabeth
    KTH Royal Institute of Technology, Stockholm, Sweden.
    Lyng, Reidar
    NTNU Norwegian University of Science & Technology, Norway.
    McCartan, Charles
    Queen's University Belfast, Belfast, United Kingdom.
    Assessing curriculum agility in a CDIO engineering education2020In: The 16th international CDIO conference: proceedings – full papers, volume 1 / [ed] Johan Malmqvist; Jens Bennedsen; Kristina Edström; Natha Kuptasthien; Angkee Sripakagorn; Janne Roslöf; Ingunn Saemundsdottir; Maria Siiskonen, Chalmers University of Technology , 2020, Vol. 1, p. 13-25Conference paper (Refereed)
    Abstract [en]

    Change and individualization are two aspects that are important in innovative higher education. In this paper, we argue for how the concept of curriculum agility can be used as a framework for engineering education that is able to meet societal, environmental, and technological challenges. To both anticipate and meet the needs of the rapidly changing world, engineering education needs to have an organization that allows for innovation, change, and adaptation, with the capacity to respond within a (much) shorter timeframe than traditionally seen in higher education. The structure and processes of such organizations should include the time needed to establish and decommission new educational programmes, and the flexibility within the programmes. The CDIO's Curriculum Agility Working Group has defined seven principles for curriculum agility and has analysed how these relate to the CDIO Standards. This paper describes how the principles can provide guidance on both a curricular and institutional level. The principles are mapped against the CDIO Standards, relating to what is required for an agile curriculum, in order to indicate how the Standards can be utilized to assess the flexibility and agility of educational programmes.

  • 5.
    Brink, Suzanne
    et al.
    Umeå University, Umeå University Library, Centre for teaching and learning (UPL). ICLON, Leiden University Leiden, the Netherlands.
    Carlsson, Carl Johan
    Chalmers University of Technology, Department of Communication and Learning Science, Gothenburg, Sweden.
    Enelund, Mikael
    Chalmers University of Technology, Department of Communication and Learning Science, Gothenburg, Sweden.
    Georgsson, Fredrik
    Umeå University.
    Keller, Elizabeth
    Chalmers University of Technology, Department of Communication and Learning Science, Gothenburg, Sweden.
    Lyng, Reidar
    Chair Center for Science Engineering Education Development, NTNU Norwegian University of Science Technology, Trondheim, Norway.
    McCartan, Charles
    School of Mechanical Aerospace Engineering, Queen's University Belfast, Belfast, United Kingdom.
    Curriculum Agility: Responsive Organization, Dynamic Content, and Flexible Education2021In: 2021 IEEE Frontiers in Education Conference (FIE 2021), Institute of Electrical and Electronics Engineers (IEEE), 2021Conference paper (Refereed)
    Abstract [en]

    This special session, within the conference theme of Incorporating Convergence into Programs, Curricula, and Continuing Education, focuses on Curriculum Agility in engineering education. It will introduce the concept of Curriculum Agility and its current trends, as well as further co-develop the concept behind it. This is done following an iterative design thinking approach, by co-creating guiding principles that engineering institutions can use to make their study programs more responsive, dynamic, and flexible. Curriculum Agility is particularly important in engineering education in order to keep pace with the rapid development of new technologies and materials. In addition, the concept aims to meet students' expectations and needs for more individualized study plans, as well as society's need for forward-thinking engineers equipped to contribute to finding solutions to current and future societal challenges. Thus, to anticipate and meet these challenges, institutions for engineering education need to have an organizational and management structure with the capacity to act within a much shorter timeframe than traditionally seen in universities. Curriculum Agility is a framework for introducing necessary changes in operations to be able to act responsibly and rapidly on change and expectations. This work presents seven principles for Curriculum Agility that have emerged from a series of sessions at international conferences and network meetings. The seven principles currently include: Stakeholder Involvement, Organization and Governance, Decision Making, Program and Course Design, Innovation of Education, and Pedagogy and Didactics. This special session brings educators together to discuss the 'what, how and why' with regard to Curriculum Agility. The overall aim is to further develop a shared vision on Curriculum Agility and build upon the intention of assessing it at different levels in the organization of engineering education institutions. The expected outcome of the special session is a collection of refined, redefined, and perhaps even newly defined principles for Curriculum Agility.

  • 6.
    Cheddad, Abbas
    et al.
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Nord, Christoffer
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Hörnblad, Andreas
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Prunskaite-Hyyryläinen, Renata
    Oulu Center for Cell-Matrix Research, Biocenter Oulu, Laboratory of Developmental Biology and Department of Medical Biochemistry and Molecular Biology, Institute of Biomedicine, University of Oulu, Finland.
    Eriksson, Maria
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Vainio, Seppo
    Oulu Center for Cell-Matrix Research, Biocenter Oulu, Laboratory of Developmental Biology and Department of Medical Biochemistry and Molecular Biology, Institute of Biomedicine, University of Oulu, Finland.
    Ahlgren, Ulf
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Improving signal detection in emission optical projection tomography via single source multi-exposure image fusion2013In: Optics Express, E-ISSN 1094-4087, Vol. 21, no 14, p. 16584-16604Article in journal (Refereed)
    Abstract [en]

    We demonstrate a technique to improve structural data obtained from Optical Projection Tomography (OPT) using Image Fusion (IF) and contrast normalization. This enables the visualization of molecular expression patterns in biological specimens with highly variable contrast values. In the approach, termed IF-OPT, different exposures are fused by assigning weighted contrasts to each. When applied to projection images from mouse organs and digital phantoms our results demonstrate the capability of IF-OPT to reveal high and low signal intensity details in challenging specimens. We further provide measurements to highlight the benefits of the new algorithm in comparison to other similar methods.

  • 7.
    Cheddad, Abbas
    et al.
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Svensson, Christoffer
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Sharpe, James
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Ahlgren, Ulf
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Image processing assisted algorithms for optical projection tomography2012In: IEEE Transactions on Medical Imaging, ISSN 0278-0062, E-ISSN 1558-254X, Vol. 31, no 1, p. 1-15Article in journal (Refereed)
    Abstract [en]

    Since it was first presented in 2002, optical projection tomography (OPT) has emerged as a powerful tool for the study of biomedical specimen on the mm to cm scale. In this paper, we present computational tools to further improve OPT image acquisition and tomographic reconstruction. More specifically, these methods provide: semi-automatic and precise positioning of a sample at the axis of rotation and a fast and robust algorithm for determination of postalignment values throughout the specimen as compared to existing methods. These tools are easily integrated for use with current commercial OPT scanners and should also be possible to implement in "home made" or experimental setups for OPT imaging. They generally contribute to increase acquisition speed and quality of OPT data and thereby significantly simplify and improve a number of three-dimensional and quantitative OPT based assessments.

  • 8.
    Clark, R.
    et al.
    Aston University, Birmingham, United Kingdom.
    Bennedsen, J.
    Aston University, Birmingham, United Kingdom.
    Rouvrais, S.
    Telecom Bretagne, Brest, France.
    Kontio, J.
    Turku University of Applied Sciences, Turku, Finland.
    Heikkenen, K.
    Turku University of Applied Sciences, Turku, Finland.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology.
    Matthiasdottir, A.
    Reykjavik University, Reykjavik, Iceland.
    Soemundsdottir, I.
    Reykjavik University, Reykjavik, Iceland.
    Karhu, M.
    Helsinki Metropolia University of Applied Sciences, Helsinki, Finland.
    Schrey-Niemenmaa, K.
    Helsinki Metropolia University of Applied Sciences, Helsinki, Finland.
    Hermon, P.
    Queens University Belfast, Belfast, United Kingdom.
    Developing a robust self evaluation framework for active learning: The first stage of an ERASMUS+ project (QAEMarketPlace4HEI)2015In: Proceedings of the 43rd SEFI Annual Conference 2015 - Diversity in Engineering Education: An Opportunity to Face the New Trends of Engineering, SEFI 2015, European Society for Engineering Education (SEFI) , 2015Conference paper (Refereed)
    Abstract [en]

    In ensuring the quality of learning and teaching in Higher Education, self-evaluation is an important component of the process. An example would be the approach taken within the CDIO community whereby self-evaluation against the CDIO standards is part of the quality assurance process. Eight European universities (Reykjavik University, Iceland; Turku University of Applied Sciences, Finland; Aarhus University, Denmark; Helsinki Metropolia University of Applied Sciences, Finland; Umeå University, Sweden; Telecom Bretagne, France; Aston University, United Kingdom; Queens University Belfast, United Kingdom) are engaged in an EU funded Erasmus + project that is exploring the quality assurance process associated with active learning.

  • 9.
    Courtois, Julien
    et al.
    Umeå University, Faculty of Science and Technology, Department of Chemistry.
    Szumski, Michal
    Umeå University, Faculty of Science and Technology, Department of Chemistry.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Irgum, Knut
    Umeå University, Faculty of Science and Technology, Department of Chemistry.
    Assessing the macroporous structure of monolithic columns by transmission electron microscopy2007In: Analytical Chemistry, ISSN 0003-2700, E-ISSN 1520-6882, Vol. 79, no 1, p. 335-344Article in journal (Refereed)
    Abstract [en]

    A set of monolithic stationary phases representing a broad span of monomers and porogens have been characterized directly in their capillary chromatographic format by computational assessment of their pore structure from transmission electron micrographs obtained after in situ embedment of the monoliths in contrast resin, followed by dissolution of the fused-silica tubing, further encasement of the resin-embedded monolith, and microtomy. This technique has been compared to mercury intrusion, a more conventional technique for macroporosity estimation. Supplementing the embedding resin by lead methacrylate gave a negative staining, and the resulting micrographs showed a good contrast between the polymeric monoliths and the embedding resin that allowed studies on the pore formation and polymer development. The technique was also applied to a commercial monolithic silica column.

  • 10.
    Eklund, Patrik
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Unravelling the thrill of metric image spaces1999In: Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349, Vol. 1568, p. 275-285Article in journal (Refereed)
    Abstract [en]

    In this paper we focus on distances between textures. and develop metrics on image spaces in contexts of image transformations. Given a metric on the range space, we can generate the initial topology for the domain space. For this topology we can obtain a corresponding metric using well-known metrization constructions, also providing granularity of the metrics. Examples are drawn front the Spatial Gray Level Dependency (SGLD) transformation and the application domain is texture recognition in medical imaging.

  • 11.
    Eriksson, Anna U.
    et al.
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Svensson, Christoffer
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Hörnblad, Andreas
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Cheddad, Abbas
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Kostromina, Elena
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Eriksson, Maria
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Norlin, Nils
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Pileggi, Antonello
    Cell Transplants Center, Diabetes Research Institute, University of Miami.
    Sharpe, James
    EMBL-CRG Systems Biology Program, Centre for Genomic Regulation, Catalan Institute of Research and Advance Studies.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Alanentalo, Tomas
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Ahlgren, Ulf
    Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
    Near infrared optical projection tomography for assessments of beta-cell mass distribution in diabetes research2013In: Journal of Visualized Experiments, E-ISSN 1940-087X, Vol. 71, article id e50238Article in journal (Refereed)
    Abstract [en]

    By adapting OPT to include the capability of imaging in the near infrared (NIR) spectrum, we here illustrate the possibility to image larger bodies of pancreatic tissue, such as the rat pancreas, and to increase the number of channels (cell types) that may be studied in a single specimen. We further describe the implementation of a number of computational tools that provide: 1/ accurate positioning of a specimen's (in our case the pancreas) centre of mass (COM) at the axis of rotation (AR)2; 2/ improved algorithms for post-alignment tuning which prevents geometric distortions during the tomographic reconstruction2 and 3/ a protocol for intensity equalization to increase signal to noise ratios in OPT-based BCM determinations3. In addition, we describe a sample holder that minimizes the risk for unintentional movements of the specimen during image acquisition. Together, these protocols enable assessments of BCM distribution and other features, to be performed throughout the volume of intact pancreata or other organs (e.g. in studies of islet transplantation), with a resolution down to the level of individual islets of Langerhans.

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  • 12.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Anatomical coordinate system in bilateralregistration of mammograms2003In: SCIA 2003 / [ed] J.Bigun, T. Gustavsson, Berlin: Springer , 2003, p. 335-342Conference paper (Refereed)
  • 13.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Computing Science.
    Differential analysis of bilateral mammograms2003In: International Journal on Pattern Recognition and Artificial Intelligence, Vol. 17, no 7, p. 1207-1226Article in journal (Refereed)
  • 14.
    Georgsson, Fredrik
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Carlson, Stina
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    A framework for computer aided mammographic screening1998In: Digital Mammography / [ed] N. Karssemeijer, M. Thijsen, J. Hendriks, L.v. Erning, Kluwer Academic Press , 1998, p. 415-418Conference paper (Refereed)
  • 15.
    Georgsson, Fredrik
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Christina, Olsén
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Stefan, Jansson
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Fractal Analysis of Mammograms2007In: SCIA 2007 / [ed] B. K. Ersboll, K. S. Pedersen, Berlin: Springer , 2007, p. 92-101Conference paper (Refereed)
    Abstract [en]

    In this paper it is shown that there is a difference in local fractal dimension between imaged glandular tissue, supporting tissue and muscle tissue based on an assessment from a mammogram. By estimating the density difference at four different local dimensions (2.06, 2.33, 2.48, 2.70) from 142 mammograms we can define a measure and by using this measure we are able to distinguish between the tissue types. A ROC-analysis gives us an area under the curve-value of 0.9998 for separating glandular tissue from muscular tissue and 0.9405 for separating glandular tissue from supporting tissue. To some extent we can say that the measured difference in fractal properties is due to different fractal properties of the unprojected tissue. For example, to a large extent muscle tissue seems to have different fractal properties than glandular or supportive tissue. However, a large variance in the local dimension densities makes it difficult to make proper use of the proposed measure for segmentation purposes.

  • 16.
    Georgsson, Fredrik
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Eklund, Patrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    An identication of handling uncertaintieswithin medical screening: a case study within screening for breast cancer1999In: Fuzzy & Neuro-Fuzzy Systems in Medicine / [ed] Horia-Nicolai L Teodorescu, Abraham Kandel, Lakhmi C. Jain, CRC Press, 1999, p. 173-193Chapter in book (Refereed)
  • 17.
    Georgsson, Fredrik
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Kontio, Juha
    Bennedsen, Jens
    Clark, Robin
    Matthíasdóttir, Ásrún
    Hermon, Paul
    Rouvrais, Siegfried
    Karhu, Markku
    Schrey-Niemenmaa, Katriina
    QAEMP: en verktygslåda för att utveckla ingenjörsutbildning med hjälp av kritiska vänner2015In: 5:e Utvecklingskonferensen för Sveriges ingenjörsutbildningar: Proceedings, Uppsala: Uppsala universitet, 2015, p. 24-26Conference paper (Other academic)
    Abstract [sv]

    På denna workshop kommer vi att jobba med en process för att förbättra ingenjörsutbildning. Kärnan i denna process är en modell för Cross-Sparring där olika utbildningar agerar kritiska vänner. Grunden för Cross-Sparring utgörs av en självvärdering där utbildningsprogrammet identifierar vilka kvalitetskriterier man vill ha hjälp utifrån för att förbättra. En del av processen består i att dokumentera Best Practice som man kan dela med sig av på en Market Place och genom att koppla Best Practice till kvalitetskriterier gör dem effektivt sökbara.Utifrån detta underlag kan man sedan hitta lämpliga partners för Cross-Sparring.

  • 18.
    Lycke, Liselott
    et al.
    Högskolan Väst.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Schedin, Staffan
    Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
    Degerman, Lars
    Uppsala universitet.
    Solin, Kim
    Uppsala universitet.
    Victor, Björn
    Uppsala universitet.
    Extern granskning av utbildningsprogram – erfarenheter från två lärosäten.2019Conference paper (Refereed)
    Abstract [sv]

    Svenska lärosäten har utvecklat egna kvalitetssystem som ska granskas och godkännas av universitetskans-lersämbetet (UKÄ). Typiskt bygger lärosätenas kvalitetssäkrings-system på cykliska mäta-värdera-åtgärda aktiviteter. I flera av dessa system förekommer extern kollegial granskning som en viktig komponent. Syftet med detta arbete är att belysa två olika system för extern kollegial granskning från olika perspektiv. Den externa granskningen av högskoleingenjörsprogrammen i maskinteknik vid Uppsala universitet och Umeå universitet är utgångspunkten och de perspektiv som belyses är de från

    • Programansvariga,

    • Utbildningsledare på fakultetsnivå, samt

    • Extern granskare

    I arbetet teoretiseras inte upplägg och genomförande av kvalitetsarbetet eller den kollegiala granskningen, utan målet är att genom vittnesbörd sprida praktisk kunskap och erfarenheter om två olika system för extern kollegial granskning.

    Initialt beskrivs de två olika systemen, hur olika aktiviteter och processer är tänkt att tillsammans bidra till att säkerställa att utbildningar håller en hög kvalitet. Särskilt fokus läggs på att beskriva upplägget på den externa kollegiala granskningen och hur den information som granskningen ger vid handen återkopplas till program och andra intressenter. Fakultetens utbildningsledare ger sin syn på genomförandet av den kollegiala granskningen ur ett övergripande fakultetsperspektiv samt beskriver de fakultetsövergripande slutsatser som dragits utifrån de externa granskningarna. Programansvariga beskriver verksamhetsnära erfarenheter av de kollegiala granskningarna. Särskilt intressant är beskrivningen av hur utfallet av den kollegiala granskningen bidragit till att definiera utvecklingsprojekt på programnivå. Resultatet kopplas till resursåtgång.

    Det tredje perspektivet är det av den externe granskaren. I fallet med högskoleingenjörsprogrammet i maskinteknik vid Uppsala respektive Umeå universitet var det samma granskare vilket ger en unik möjlighet att få en extern parts synpunkter på underlag i förhållande till efterfrågad granskning.Slutligen sammanfattas styrkor och svagheter i de båda ansatserna till extern kollegial granskning.

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  • 19.
    Nilsson, Anders
    et al.
    Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Projective properties of fractal sets2008In: Chaos, Solitons & Fractals, ISSN 0960-0779, E-ISSN 1873-2887, Vol. 35, no 4, p. 786-794Article in journal (Refereed)
    Abstract [en]

    In this paper, it is shown that a bound on the box dimension of a set in 3D can be established by estimating the box dimension of the discrete image of the projected set i.e. from an image in 2D. It is possible to impose limits on the Hausdorff dimension of the set by estimating the box dimension of the projected set. Furthermore, it is shown how a realistic X-ray projection can be viewed as equivalent to an ideal projection when regarding estimates of fractal dimensions.

  • 20.
    Olsen, Christina
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Assessing ground truth of glandular tissue2006In: Digital Mammography: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006. Proceedings, Berlin / Heidelberg: Springer , 2006, p. 10-17Conference paper (Refereed)
    Abstract [en]

    In medical image analysis a ground truth to compare results against is of vital importance. This ground truth is often obtained from human experts. The aim of this paper is to discuss the problem related to the use of markings made by an expert panel. As a partial solution, we. propose a method to relate markings to each other in order to establish levels of agreement. By using this method we can assess the performance of, for instance, segmentation algorithms.

  • 21.
    Olsén, Christina
    et al.
    Umeå University, Faculty of Science and Technology, Computing Science.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Computing Science.
    Problems Related to Automatic Nipple Extraction2005In: Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 2005, Proceedings, 2005, p. 470-480Conference paper (Refereed)
  • 22.
    Olsén, Christina
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Problems Related to Automatic Nipple Extraction2005In: Image Analysis, ISSN 0302-9743, Vol. 3540, p. 470-480Article in journal (Refereed)
  • 23.
    Olsén, Christina
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Pierre, Mattias
    Identifying ground truth based on multiple markings by domain expertsManuscript (preprint) (Other academic)
  • 24. Schrey-Niemenmaa, Katriina
    et al.
    Clark, Robin
    Matthíasdóttir, Ásrún
    Georgsson, Fredrik
    Umeå University, Faculty of Science and Technology.
    Kontio, Juha
    Bennedsen, Jens
    Rouvrais, Siegfried
    Hermon, Paul
    The Power of Self-evaluation Based Cross-Sparring in Developing the Quality of Engineering Programmes2018In: Engineering Education for a Smart Society: World Engineering Education Forum & Global Engineering Deans Council 2016 / [ed] Michael E. Auer, Kwang-Sun Kim, Springer Berlin/Heidelberg, 2018, p. 158-174Conference paper (Refereed)
    Abstract [en]

    This paper discusses how the quality of engineering education can be improved in practice by using a process of sharing and critique. Starting with a self-evaluation followed by a cross-sparring with critical friends, this new approach has proven successful in initiating change. With a focus on quality enhancement as much as quality assurance, the engagement in and attractiveness of the engineering education are key considerations of the development activities that are inspired by the process. In the process programmes are paired with appropriate partners and, using the self-evaluation as a foundation, the cross-sparring enables each partner the best opportunities to learn from each other. The approach has been developed in an ERASMUS + project involving eight European universities and has been called QAEMP (Quality Assurance and Enhancement Market Place).

1 - 24 of 24
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