Erkki Pesonen

senior lecturer, vice head of school of computing, Kuopio campus, Novapolis G

I teach basic computer science courses and programming. I use modern learning environments, flipped classroom and student analytics. I’m vice head of School of Computing at Kuopio campus and my study issues are on my responsibilities. I’m also member of UEF Board.

Publications

16 items

Totuudenmukainen työaikasuunnitelma - pelkkää fiktiota?
Pesonen Erkki, Toikkanen Jarkko. 2016. Acatiimi. 18: 30-33 D1 Article in a trade journal
Understanding initial undergraduate expectations and identity in computing studies
Kinnunen Päivi, Butler Matthew, Morgan Michael, Nylen Aletta, Peters Anne-Kathrin, Sinclair Jane, Kalvala Sara, Pesonen Erkki. 2016. European journal of engineering education. 2018; 43: 201-218 A1 Journal article (refereed), original research
Challenges of teaching and learning in first-year engineering studies - Teachers' observations
Pietikäinen PS, Kinnunen P, Pesonen E. Teoksessa: -, 2014. Proceedings of SEFI 2014: Educating Engineers for Global Competitiveness. : 1-7. SEFI A4 Conference proceedings
Getting to know computer science freshmen
Kinnunen Päivi, Marttila-Kontio Maija, Pesonen Erkki. Teoksessa: -, 2013. Proceedings of the 13th Koli Calling International Conference on Computing Education Research. : 59-66. ACM A4 Conference proceedings
Pedagogista yhteistyötä tietojenkäsittelytieteen opetuksen kehittämisessä
Pesonen E, Lammi S, Räsänen P, Ritvanen U, Haapaniemi T. 2007. Peda-forum. 14: 7-9 D1 Article in a trade journal
Tätä ei saa jättää tähän Kuopion yliopiston TieVie-alumnitoiminta
Huotari N, Levänen K, Pesonen E, Rissanen T. Teoksessa: Peurasaari M, 2007. Tuhat ja yksi tarinaa - TieVie-verkoston seitsemän vuotta. s. 185-190. Suomen virtuaaliyliopisto D2 Article in a professional book (incl. an introduction by the editor)
A diagnostic score for children with suspected appendicitis
Lintula H, Pesonen E, Kokki H, Vanamo K, Eskelinen M. 2005. Langenbecks archives of surgery. 390: 164-170 A1 Journal article (refereed), original research
Diagnosis of acute appendicitis in two databases. Evaluation of different neighborhoods with a LVQ neural networks
Pesonen E, Ohmann C, Eskelinen M, Juhola M. 1998. Methods of information in medicine. 37: 59-63 A1 Journal article (refereed), original research
Studies on the Experimental Construction of a Neural Network-Based Decision Support System for Acute Abdominal Pain
Pesonen E. 1998. Kuopion yliopiston julkaisuja C. Luonnontieteet ja ympäristötieteet G5 Doctoral dissertation (article)
Treatment of missing data values in a neural network based decision support system for acute abdominal pain
Pesonen E, Eskelinen M, Juhola M. 1998. Artificial intelligence in medicine. 13: 139-146 A1 Journal article (refereed), original research
Is neural network better than statistical methods in diagnosis of acute appendicitis?
Pesonen E. Teoksessa: Pappas C, Maglaveras N, Scherrer J-R, 1997. Medical Informatics Europe '97. MIE97 Fourteenth International Congress. -1: 377-381. IOS Press A4 Conference proceedings
Comparison of different neural network algorithms in the diagnosis of acute appendicitis
Pesonen E, Eskelinen M, Juhola M. 1996. INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING. 40: 227-233 A1 Journal article (refereed), original research
On the reliability of the suggested diagnosis of a neural network system in acute abdominal pain
Pesonen E. Teoksessa: Brender J, Christensen JP, Scherrer J-R, McNair P, 1996. Medical Informatics Europe '96. Human Facets in Information Technologies. Part A. -1: 528-531. IOS Press A4 Conference proceedings
Learning vector quantization in the automatic decision making of acute appendicitis
Pesonen E, Juhola M, Ikonen J, Eskelinen M. Teoksessa: Eklund P, 1994. MEPP' 94 International Seminar on Fuzzy Control through Neural Interpretations of Fuzzy Sets. -1: 1-4. A4 Conference proceedings
Parameters for a knowledge base for acute appendicitis
Pesonen E, Ikonen J, Juhola M, Eskelinen M. 1994. Methods of information in medicine. 33: 220-226 A1 Journal article (refereed), original research
Perusal of symptom parameters for the knowledge-based diagnosis of acute appendicitis
Pesonen E, Ikonen J, Juhola M, Eskelinen M. Teoksessa: , 1994. MEPP '93 International Seminar on Fuzzy Control throught Neural Interpretations of Fuzzy Sets. -1: 93-101. A4 Conference proceedings

Totuudenmukainen työaikasuunnitelma - pelkkää fiktiota?

Understanding initial undergraduate expectations and identity in computing studies

Challenges of teaching and learning in first-year engineering studies - Teachers' observations

Getting to know computer science freshmen

Pedagogista yhteistyötä tietojenkäsittelytieteen opetuksen kehittämisessä

Tätä ei saa jättää tähän Kuopion yliopiston TieVie-alumnitoiminta

A diagnostic score for children with suspected appendicitis

Diagnosis of acute appendicitis in two databases. Evaluation of different neighborhoods with a LVQ neural networks

Studies on the Experimental Construction of a Neural Network-Based Decision Support System for Acute Abdominal Pain

Treatment of missing data values in a neural network based decision support system for acute abdominal pain

Is neural network better than statistical methods in diagnosis of acute appendicitis?

Comparison of different neural network algorithms in the diagnosis of acute appendicitis

On the reliability of the suggested diagnosis of a neural network system in acute abdominal pain

Learning vector quantization in the automatic decision making of acute appendicitis

Parameters for a knowledge base for acute appendicitis

Perusal of symptom parameters for the knowledge-based diagnosis of acute appendicitis