Teaching

We offer individual practicals (F1, F2; M Sc., B.Sc.; dates to be negotiated) for any of our topics (e.g. learning programming; modelling cancer; understanding infection biology; metabolic networks; regulatory networks ...) for the interested student with a suitable qualification level. If interested, ask Prof. Thomas Dandekar (if not available direct enquiry to our secretary Eva Fischer).

Main Lectures (Master):

Bioinformatik (winter term, Mondays 3 p.m.)

Systembiologie (summer term, Mondays 3 p.m.)

For those who need the same contents in English please attend:

Topics in Systems Biology (winter term, Thursdays 10 a.m.)

Topics in Bioinformatics (summer term, Thursdays 11 a.m.)

    > these are two lectures discussing the same topics with the help of current publications.

This  Powerpoint gives in a nutshell an introduction to bioinformatics. The pictures and methods are explained in detail in our bachelor 3rd semester introductory course on bioinformatics. However, for learning and beginning, please consult the German or English versions of the following Textbooks:

• Hansen, Andrea   „Bioinformatik“
  Bioinformatik : Ein Leitfaden für Naturwissenschaftler Taschenbuch – neueste Version 4. Oktober 2013; Web-Links im Anhang wichtig; Lernziel: einfache Analysen, insbesondere Sequenzanalysen, selbst durchführen lernen (nur auf deutsch)

• Arthur M. Lesk   „Bioinformatik“
  Bioinformatik, Eine Einführung, Spektrum, 2003.
  Excellent reading, in English and in German versions are available, 2nd edition is up to date (from 2013) Zusammenhänge, Proteinstruktur, schöne Weblems und Problems

• Edda Klipp   „Systems Biology2
  Systems Biology: A Textbook, 2nd Edition
  Klipp, Wolfram Liebermeister, Christoph Wierling, Axel Kowald
  ISBN: 978-3-527-33636-4; 504 pages, May 2016, Wiley-Blackwel. Excellent reading, however only in English available.

• Thomas Dandekar, Meik Kunz   "Bioinformatik - Ein einführendes Lehrbuch"
  ISBN: 978-3662546970. Nur auf Deutsch im Moment. Kostenlos im Uninetz zu lesen.

Statistics­­

• Vorkurs Statistik (26. und 27.3.2018)
  (for the real beginners, coming from school!)
  
  
• Introduction "Mathematische Biologie und Biostatistik" (each summer term)
  for 2^nd semester - please come to our exercises on Wednesdays in Turing Hörsaal, Informatik!
  
  
• We highly recommend our exercises of "Mathematische Biologie und Biostatistik" also for the interested 4^th and 6^th semester students.
  
  
• Advanced training in statistics
  first look at the section Programming. Moreover, we offer also advenced courses in statistics on an individual basis - please inquire details at the chair of bioinformatics eva.fischer@uni-wuerzburg.de

Programming

Our standard introduction:

• course "Spezielle Bioinformatik 2" for Bachelor, 5^th Semester (Prof. Jörg Schultz)

Our offer for students with average programming experience:

• course "Grundlagen der Systemadministration" (soft skill, Prof. Jörg Schultz, Dr. Arthur Korte)
  
  

Our standard offer for students with programming experience:

• Advanced course "Algorithmische Bioinformatik" for Master students (Dr. Tobias Müller)
  Here you do not only learn programming with R, you start to understand which questions you can answer this way!
  
  
• Advanced course "Machine Learning in Bioinformatics" for Master students (Dr. Konrad Förstner)
  Here you learn Algorithms of artificial inteligence and biological applications

Advanced programming practicals are available on an individual basis (required basic programming skills in one language - either Perl, R od Python); both from the group leaders of the chair of Bioinformatics or also from our group leaders at the CCTB.

Other courses on programming:

• Introduction to R
  course at the Rechenzentrum
• Java course (practical)
  (Dr. Ifland, Institute of Computer Science )
• Grundkurs Statistische Auswertungen mit SPSS & Aufbaukurs Statistische Auswertungen mit SPSS
  (Prof. Heuschmann, Institute of Clinical Epidemiology and Biometry)
• Medizinische Informatik
  (Prof. Puppe, Institute of Computer Science)
• Statistik
  (Prof. Falk, Institute of Mathematics)

Students of education (Lehramt)

We offer help for theses in Staatsexamen Lehramt (including MIND+ candidates).

Please contact for this:

Prof. Thomas Dandekar
Dr. Matthias Wolf

Wir helfen gerne mit Themenvorschlägen und unterstützen Sie bei Zulassungsarbeiten für das Staatsexamen Lehramt.