Studienfachberater im Fachbereich Informatik

• Übungen zur Vorlesung Einführung in die Informatik I - Grundlagen
  Zum Moodle-Kurs: tba
• Übungen und Organisation zu Einführung in die Informatik
  Zum Moodle-Kurs: Link
   

Sommersemester 2022

• Vorlesung Einführung in die Informatik I - Grundlagen

Wintersemester 2021/22

• Übungen zur Vorlesung Einführung in die Informatik I - Grundlagen

Sommersemester 2021

• Übungen zur Vorlesung Einführung in die Informatik I - Grundlagen
• Übungen zur Vorlesung Einführung in die Informatik II - Grundlagen

Wintersemester 2020/21

• Übungen zur Vorlesung Einführung in die Informatik I - Grundlagen

• G. Völkel, M. Maucher, C. Müssel, U. Schöning, and H.A. Kestler. Information Theoretic Measures for Ant Colony Optimization. Analysis of Large and Complex Data (pp.519-530), 2016.

• A. Fürstberger, M. Maucher, and H.A. Kestler. Extended pairwise local alignment of wild card DNA/RNA-sequences using dynamic programming. Journal of Statistical Computation and Simulation; 2015. 

• G. Völkel, M. Maucher, U. Schöning, and H.A. Kestler. Ant Colony Optimization with Group Learning. Proceeding of the sixteenth annual conference on Genetic and evolutionary computation conference; 2014.

• M. Maucher, D.V. Kracht, S. Schober, M. Bossert, and H.A. Kestler. Inferring Boolean functions via higher-order correlations. Computational Statistics 29(1-2):97-115, 2014.

• G. Völkel, M. Maucher, and H. A. Kestler. Group-based ant colony optimization. Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, Amsterdam, The Netherlands; 2013. in press.

• L. Lausser, C. Müssel, M. Maucher, H.A. Kestler. Measuring and visualizing the stability of biomarker selection techniques. Computational Statistics 28(1):51–65, 2013.

• M. Hopfensitz, C. Müssel, M. Maucher, H.A. Kestler. Attractors in Boolean Networks - A tutorial. Computational Statistics 28(1):19-36, 2013.

• M. Hopfensitz, C. Müssel, C. Wawra, M. Maucher, M. Kühl, H. Neumann, H.A. Kestler. Multiscale Binarization of Gene Expression Data For Reconstructing Boolean Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics 9(2):487-498, 2012. Available online.

• C. Müssel, L. Lausser, M. Maucher, H.A. Kestler. Multi-objective parameter selection for classifiers. Journal of Statistical Software 46(5):1-27, 2012.

• M. Maucher, B. Kracher, M. Kühl, H.A. Kestler. Inferring Boolean network structure via correlation. Bioinformatics 27(11):1529–1536, 2011.

• M. Maucher, U. Schöning, H.A. Kestler. Search heuristics and the influence of non-perfect randomness: examining Genetic Algorithms and Simulated Annealing. Computational Statistics 26(2):303-319, 2011.

• L. Lausser, C. Müssel, M. Maucher, H.A. Kestler. Feature Reduction and Nearest Neighbours.  In Proceedings of the 34th Annual Conference of the German Classification Society (GfKl), pages 363-370, Springer, 2010.

• M. Hopfensitz, M. Maucher, H.A. Kestler. Fuzzy Boolean Network Reconstruction. In Proceedings of the 34th Annual Conference of the German Classification Society (GfKl), pages 263-270, Springer, 2010.

• M. Maucher. On the influence of non-perfect randomness on probabilistic algorithms. Dissertation. October 2009. (Available online)
  Also available as a book:
  On the influence of non-perfect randomness on probabilistic algorithms. Südwestdeutscher Verlag für Hochschulschriften, 2009, ISBN-13:978-3838112312.

• B. List, M. Maucher, U. Schöning, R. Schuler. QuickSort from an information-theoretic view. W. Arendt, W. Schleich (eds.), Mathematical analysis of evolution, information, and complexity. Wiley-VCH, Weinheim. 2009.

• M. Maucher, U. Schöning, H.A. Kestler. An empirical assessment of local and population based search methods with different degrees of pseudorandomness. Technical Report UIB-2008-07, University of Ulm, June 2008 (pdf).

• M. Maucher, U. Schöning, H.A. Kestler. On the different notions of pseudorandomness. Technical Report UIB-2008-11, University of Ulm, August 2008 (pdf).

• W. Guttmann, M. Maucher: Variations on an Ordering Theme with Constraints, in: Navarro, G., L. Bertossi und Y. Kohayakawa (eds.): 4th IFIP International Conference on Theoretical Computer Science: TCS 2006, pages 77-90, Springer, 2006. (online, slides as pdf)

• W. Guttmann, M. Maucher. Constrained Ordering. Technical Report UIB-2005-03, University of Ulm, December 2005 (pdf)

• B. List, M. Maucher, U. Schöning, R. Schuler. Randomized QuickSort and the Entropy of the Random Number Generator. Electronic Colloquium on Computational Complexity, Report No. 59 (2004).
   
• B. List, M. Maucher, U. Schöning, R. Schuler. Randomized QuickSort and the Entropy of the Random Source, in: L. Wang (ed.): Computing and Combinatorics, 11th Annual International Conference, August 2005, pages 450-460, Springer, 2005. (pdf)