| 1. |
- Kallin, Lena, 1970-, et al.
(author)
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Att utbilda tjejer i datavetenskap : erfarenheter och reflexioner
- 1997
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In: Utbildning i förändring. ; , s. 308-321
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Conference paper (peer-reviewed)abstract
- Vad beror det på att datavetenskap är det ämne som lockar den minsta andelen kvinnor av alla naturvetenskapliga utbildningar? Varför ses teknik som ett manligt område? Hur ser de kvinnliga studenterna på undervisningen och miljön vid institutionen? Finns det en skillnad på hur kvinnor och män närmar sig datorer och kunskap? Detta är några av de frågor som vi ställer oss i artikeln. Vi försöker ge en bakgrund till den nuvarande situationen och bidrar med frågeställningar i syfte att skapa debatt och diskussion kring dessa. Vi redovisar också kort en enkät som kvinnliga studenter på institutionen besvarat och diskuterar några av de åtgärder som har genomförts eller kommer att genomföras vid institutionen.
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| 2. |
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| 3. |
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| 4. |
- Börstler, Jürgen, 1960-, et al.
(author)
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Evaluating OO Example Programs for CS1
- 2008
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In: Proceedings of the 13th annual conference on Innovation and technology in computer science education. - New York, NY, USA : ACM. ; , s. 47-52
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Conference paper (peer-reviewed)
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| 5. |
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| 6. |
- Eklund, Patrik, et al.
(author)
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Computational intelligence for medical information analysis and refinement
- 1999
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In: Soft computing in human-related sciences. - Boca Raton, FL : CRC Press. - 0849316359 ; , s. 115-134
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Book chapter (other academic/artistic)abstract
- In this chapter we will describe an architecture of a workstation that combines data mining tools with analysis tools in building new decision support systems and automatically integrates the new system into a diagnosis classification skeleton. The workstation is intended to support fast and efficient navigation towards a correct diagnosis and consists of modules each capable of supporting the diagnosis of specific diseases. The production line within which domain experts can generate decision support systems for a specific disease themselves will be described together with one of the analysis tools used in the production line, the generalised preprocessing perceptron (GPP). The GPP has a structure that allows results comparable to a multilayer perceptron, yet perceiving parameter interpretations relevant within the medical domain.
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| 7. |
- Eklund, Patrik, et al.
(author)
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Preprocessing perceptrons and multivariate reference values
- 2009
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In: Data mining and medical knowledge management. - : Medical Information Science Reference. - 9781605662183 - 1605662186 - 9781605662190 ; , s. 108-121
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Book chapter (other academic/artistic)abstract
- Classification networks, consisting of preprocessing layers combined with well-known classification networks, are well suited for medical data analysis. Additionally, by adjusting network complexity to corresponding complexity of data, the parameters in the preprocessing network can, in comparison with networks of higher complexity, be more precisely understood and also effectively utilised as decision limits. Further, a multivariate approach to preprocessing is shown in many cases to increase correctness rates in classification tasks. Handling network complexity in this way thus leads to efficient parameter estimations as well as useful parameter interpretations.
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| 8. |
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| 9. |
- Eliasson, Johan, et al.
(author)
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Investigating students' confidence in programming and problem solving
- 2006
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In: 36th ASEE/IEEE Frontiers in Education Conference (FIE2006). ; , s. M4E-22
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Conference paper (peer-reviewed)abstract
- Many students feel insecure making their first attempts to solve programming problems. Despite finishing the introductory programming course successfully, these students refrain from pursuing their CS studies. Hence, this aversion towards problem solving and programming is not fully explained by lack of subject understanding and performance. In order to better understand the components of students’ comfort, a first attempt to model a student’s confidence regarding problem solving and programming has been made. The model consists of two dimensions; Course topic and Student’s mindset. Two questionnaires have been developed in order to capture if and how students’ confidence is affected by taking the CS1 course. Data has been collected for four course offerings with three different study programmes. Results confirm the suspicion that the confidence is lowered by the course, and that student groups with different ambition and motivation for taking the course seem to be affected by different aspects of the course.
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