Teaching

We offer courses and training in bioinformatics, computer science, and computational systems chemistry.
Information

The current course selection can be found in FriedolinExterner Link.

Winter Semester

  1. Einführung in die Bioinformatik 1 (1. Teil)
  2. Strukturiertes Programmieren
  3. Grundlagen der Systembiologie
  4. Systembiologie (MMLS.G2)
  5. Literaturseminar - biologische Information

Sommer Semester

  1. Einführung in die Bioinformatik 1 (2.Teil)
  2. Logik lebender Systeme
  3. Evolutionäre Algorithmen
  4. Code Biology
  5. Lehrgang Unterrichtserlaubnis Informatik

Ideas for Thesis

  • Virus Dynamics
    • Integrated Model of Virus Dynamics and Social Dynamics
    • A Tool for Comparing (Virus-) Dynamical Models using Chemical Organizations
  • Chemical Organization Theory & Origin of Life
    • Measuring Chemical Organizations
    • Detecting Autocatalytic Processes in Complex Chemical Soups
    • Study Structure of Autocatalytic Networks with Structure-Function Mapping
    • Evolvability of Self-Sustaining Autocatalytic Networks
    • Generalized Autocatalytic Networks with Graph Grammars
  • Code Biology and Theory of Semantic Information
    • Measuring Semantic Capacity in Real Chemistries
    • Finding Molecular Codes in Large Reaction Networks
  • Evolution of Novelties
    • Evolutionary Motives in Evo-Devo
  • SR-Sim : Rule-based modeling in space
    • SRSim Topic: A parallel Version (in C++) of the rule-based spatial simulator SRSim
    • SRSim Topic: Demonstrate phase-separation in SRSim
  • Genetic Programming
    • Genetic Programming:  Self-modifying Genetic Programming
    • Iterated Mutual Observation with Genetic Programming
  • Systems Biology
    • Chemical Organizations in Whole Cell Modells
    • Systems Biology of Meiosis
  • Computational Social Science
    • Reveal autopoietic structures in social communication systems
    • Iterated mutual observation - double contingency problem
  • Bio-Sensors and Bio-Robotics
    • Modelling and Simulation of Bio-Sensors, e.g., cancer marker diagnostics (NEW, with IMMS)
  • Available Hardware
    • Standard computer science environment (desktop computers, printing, office space, SSD-based file server & backup, library)
    • For computing a local batch system with approx. 20 CPUs for exclusive use
    • One machine with 16 cores (2 CPUs) and 384 GB RAM for exclusive use
    • 3D-printer (Ultimaker), HTC vive (for virtual reality)
    • potentially access to a shared central compute cluster (ARA cluster, approx. 200 CPUs and 2000 cores)
Information

Students who are interested in doing a research project with us can request a detailed list of topics from peter.dittrich@uni-jena.de or by telephone on 03641 946460.

For a research internship with a small scope (about 6 ECTS = 180 hours = 4.5 weeks) or the project module, the question and task must be clearly simplified and delimited in advance.