Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Masters
Major
Computer Science | Data Science
Area of study
Information and Communication Technologies | Mathematics and Statistics
Course Language
English
About Program

Program Overview


Institute of Theoretical Computer Science

The Institute of Theoretical Computer Science is a leading research institution that focuses on the theoretical foundations of computer science. The institute offers a range of courses and research opportunities in areas such as algorithms, complexity theory, and formal methods.


Teaching

The institute offers a variety of courses in theoretical computer science, including:


  • Algorithmen und Datenstrukturen (Algorithms and Data Structures)
  • Introduction to Bioinformatics
  • Foundations of Theoretical Computer Science and Formal Foundations of Computer Science
  • Abschlussarbeiten (Thesis)
  • Absolventenseminar (Graduate Seminar)
  • Archiv (Archive)

The archive section contains a list of past courses, including:


  • Veranstaltungen im SS 2025 (Courses in Summer Semester 2025)
  • Veranstaltungen im SS 2024 (Courses in Summer Semester 2024)
  • Veranstaltungen im WS 2024/2025 (Courses in Winter Semester 2024/2025)
  • Veranstaltungen im WS 2023/24 (Courses in Winter Semester 2023/2024)
  • Veranstaltungen im SS 2023 (Courses in Summer Semester 2023)
  • Veranstaltungen im WS 2022/2023 (Courses in Winter Semester 2022/2023)
  • Veranstaltungen im SS 2022 (Courses in Summer Semester 2022)
  • Veranstaltungen im SS 2021 (Courses in Summer Semester 2021)
  • WS 2020/2021 (Winter Semester 2020/2021)
  • WS 2020/2021 (Winter Semester 2020/2021)
  • SS 2020 (Summer Semester 2020)
  • WS 2019/2020 (Winter Semester 2019/2020)
  • SS 2019 (Summer Semester 2019)
  • WS 2018/2019 (Winter Semester 2018/2019)
  • SS 2018 (Summer Semester 2018)
  • WS 2017/2018 (Winter Semester 2017/2018)
  • SS 2017 (Summer Semester 2017)
  • WS 2016/2017 (Winter Semester 2016/2017)
  • SS 2016 (Summer Semester 2016)
  • WS 2015/2016 (Winter Semester 2015/2016)
  • SS 2015 (Summer Semester 2015)
  • WS 2014/2015 (Winter Semester 2014/2015)
  • SS 2014 (Summer Semester 2014)
  • WS 2013/2014 (Winter Semester 2013/2014)
  • SS 2013 (Summer Semester 2013)
  • WS 2012/2013 (Winter Semester 2012/2013)
  • SS 2012 (Summer Semester 2012)
  • WS 2011/2012 (Winter Semester 2011/2012)
  • SS 2011 (Summer Semester 2011)
  • WS 2010/2011 (Winter Semester 2010/2011)
  • SoSe 2010 (Summer Semester 2010)
  • WS 2009/2010 (Winter Semester 2009/2010)
  • SoSe 2009 (Summer Semester 2009)
  • WS 2008/2009 (Winter Semester 2008/2009)
  • SoSe 2008 (Summer Semester 2008)
  • WS 2007/2008 (Winter Semester 2007/2008)

Members

The institute has a team of experienced researchers and professors, including:


  • Prof. Dr. Jacobo Torßn
  • Prof. Dr. Enno Ohlebusch
  • Prof. Dr. Uwe Sch÷ning
  • Christiane Halder-Schnell
  • M.Sc. Lisa-Marie Jaser
  • Jannik Olbrich
  • Ehemalige Mitarbeiter / Doktoranden (Former Employees / Doctoral Students)

Research

The institute's research areas include:


  • EDACC
  • Sequence Analysis
  • SAT Solving
  • Dichte Packung von Garnrollen auf Paletten (Dense Packing of Yarn Rolls on Pallets)

Course: Algorithmen f³r schwierige Probleme (Algorithms for Hard Problems)

Inhalt (Content)

This course covers algorithms for solving hard problems, including:


  • Approximative Algorithmen (Approximate Algorithms)
  • Algorithmen mit moderater exponentieller Komplexitõt (Algorithms with Moderate Exponential Complexity)
  • Parametrisierte Algorithmen (Parameterized Algorithms)

The course consists of lectures and integrated exercises, and requires knowledge of basic algorithms and complexity theory.


Materialien (Materials)

  • Vorlesungsskript (Lecture Script)
  • Literatur (Literature):
    • R. Downey, M. Fellows: Parameterized Complexity, Springer-Verlag, 1999.
    • F. Fomin and D. Kratsch: Exact Exponential Algorithms, Springer, 2010
    • R. Motwani, P. Raghavan: Randomized Algorithms. Cambridge University Press, 1995.
    • R. Niedermeier: Invitation to Fixed-Parameter Algorithms, Oxford University Press, 2006
    • U. Sch÷ning: Algorithmik. Spektrum Akademischer Verlag, 2001.
    • C.H. Papadimitriou: Computational Complexity. Addison-Wesley, 1994.

Dozenten (Lecturers)

  • Prof. Dr. Jacobo Torßn

Vorlesungszeiten (Lecture Times)

  • Di 10-12, Raum O27 - 2201
  • Do 10-12, Raum O27 - 122
See More