Dipl.-Inf. Holger Danielsiek

Professur für Praktische Informatik (Prof. Vahrenhold)
Dipl.-Inf. Holger Danielsiek

Einsteinstr. 62, room 702
48149 Münster

T: +49 251 83-38411
F: +49 251 83-33755

     

    • CV

      Education

      Diploma Study in Computer Science

      Positions

      Research Assistant at the Department of Computer Science at WWU Münster (Working Group Efficient Algorithms and Algorithm Engineering)
      Research Assistant at TU Dortmund
      Student Worker at TU Dortmund

    • Publications

      • Danielsiek H, Toma L, Vahrenhold J. . ‘Reprint: An Instrument to Assess Self-Efficacy in Introductory Algorithms Courses.’ ACM Inroads 9, No. 1: 56–65. doi: 10.1145/3105726.3106171.

      • Danielsiek H, Hubwieser P, Krugel J, Magenheim J, Ohrndorf L, Ossenschmidt D, Schaper N, Vahrenhold J. . ‘Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences.’ In Proceedings of the IEEE Global Engineering Education Conference (EDUCON), edited by Douligeris C, Auer ME, Sgouropoulou C, Stracke C, Xenos M, 718–725.: IEEE. doi: 10.1109/EDUCON.2017.7942927.
      • Danielsiek H, Toma L, Vahrenhold J. . ‘An Instrument to Assess Self-Efficacy in Introductory Algorithms Courses.’ In Proceedings of the thirteenth annual ACM International Computing Education Research (ICER) conference, edited by Tenenberg J, Chinn D, Malmi L, Korhonen A, Sheard J, 217–225. New York, NY: ACM Press. doi: 10.1145/3105726.3106171.
      • Danielsiek H, Hubwieser P, Krugel J, Magenheim J, Ohrndorf L, Ossenschmidt D, Schaper N, Vahrenhold J. . „Kompetenzbasierte Gestaltungsempfehlungen für Informatik-Tutorenschulungen.“ In INFORMATIK 2017, herausgegeben von Eibl M, Gaedke M, 241–254. Bonn: Gesellschaft für Informatik. doi: 10.18420/in2017_18.

      • Danielsiek H, Vahrenhold J. . ‘Stay on These Roads: Potential Factors Indicating Students' Performance in a CS2 Course.’ In Proceedings of the 47th ACM Technical Symposium on Computer Science Education (SIGCSE 2016), edited by Alphonce C, Tims J, Caspersen ME, Edwards S, 12–17. New York: ACM Press. doi: 10.1145/2839509.2844591.

      Research Articles in Edited Proceedings (Conferences)
      • Danielsiek H, Humbert L, Vahrenhold J. . ‘Research-Based Learning Revisited: On Using a Delphi Process in Informatics Teacher Education.’ In Proceedings of the 6th Conference on Informatics in Schools: Situation, Evolution and Perspectives (ISSEP 2013), edited by Diethelm I, Mittermeir R, 196–208. Berlin: Springer. doi: 10.1007/978-3-642-36617-8_17.
      Research Article (Book Contributions)
      • Danielsiek Holger, Paul Wolfgang, Vahrenhold Jan. . „Entwurf eines Diagnosekonzepts für die Sekundarstufe I am Beispiel des Fachs Informatik.“ In Diagnose und individuelle Förderung in der MINT-Lehrerbildung: Das Projekt dortMINT, herausgegeben von Hußmann Stephan, Selter Christoph, 101–114. Münster: Waxmann.
      • Anus Sandra, Danielsiek Holger, Fischer Sandra, Girulat Annika, Graf Dittmar, Jelemenská Patrícia, Melle Insa, Nührenbörger Marcus, Paul Wolfgang, Vahrenhold Jan. . „Diagnose und individuelle Förderung erlernen.“ In Diagnose und individuelle Förderung in der MINT-Lehrerbildung: Das Projekt dortMINT, herausgegeben von Hußmann Stephan, Selter Christoph, 97–100. Münster: Waxmann.

      • Danielsiek H, Paul W, Vahrenhold J. . ‘Detecting and Understanding Students' Misconceptions Related to Algorithms and Data Structures.’ In Proceedings of the 43rd SIGCSE Technical Symposium on Computer Science Education (SICGSE 2012), edited by King LAS, Musicant DR, Camp T, Tymann PT, 21–26.: ACM Press. doi: 10.1145/2157136.2157148.

      • Kramer O, Danielsiek H. . ‘A Clustering-Based Niching Framework for the Approximation of Equivalent Pareto-Subsets.’ International Journal of Computational Intelligence and Applications 10, No. 03: 295––311. doi: 10.1142/S1469026811003112.

      Research Articles (Journals)
      • Preuss M, Beume N, Danielsiek H, Hein T, Naujoks B, Piatkowski N, Stüer R, Thom A, Wessing S. . ‘Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games.’ IEEE Transactions on Computational Intelligence and AI in Games 2, No. 2: 82––98. doi: 10.1109/TCIAIG.2010.2047645.
      Research Articles in Edited Proceedings (Conferences)
      • Kramer O, Danielsiek H. . ‘DBSCAN-Based Multi-Objective Niching to Approximate Equivalent Pareto-Subsets.’ In Proceedings of the 12th annual conference on Genetic and evolutionary computation, 503––510. New York, NY, USA: ACM. doi: 10.1145/1830483.1830575.

      • Beume N, Danielsiek H, Eichhorn C, Naujoks B, Preuss M, Stiller K, Wessing S. . ‘Measuring Flow as Concept for Detecting Game Fun in the Pac-Man Game.’ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2008, June 1-6, 2008, Hong Kong, China, 3448––3455. doi: 10.1109/CEC.2008.4631264.
      • Danielsiek H, Stüer R, Thom A, Beume N, Naujoks B, Preuss M. . ‘Intelligent Moving of Groups in Real-Time Strategy Games.’ In Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008, Perth, Australia, 15-18 December, 2008, 71––78. doi: 10.1109/CIG.2008.5035623.