Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Fraunhofer Institute for Algorithms and Scientific Computing SCAI

Teaching

Lectures, exercises, seminars etc. given by scientists of Fraunhofer SCAI

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Prof. Dr. Tanja Clees

  • Informatik (lecture, exercises, practical lab)
  • Energie 4.0 (seminar)
  • Sektorkopplung (seminar)

Christian Ebeling

  • Biological Databases – Design, Implementation and Optimization (lab course)
  • Programming Lab II (practical lab)
  • Tools, Standards and Conventions in Python (practical lab)

Prof. Dr. Michael Griebel

  • Graduate Seminar on Numerical Analysis

Prof. Dr. Martin Hofmann-Apitius

  • Intellectual and social pre-requisites for science (tutorial)
  • LSI exam regulations (tutorial)
  • Current trends in applied life science informatics (seminar)
  • Biological databases (lecture, exercise)
  • Aging clocks and organ-aging (seminar, with Jacobs)

Dr. Alpha Tom Kodamullil

  • BioMedical Semantics and Knowledge Graphs - Algorithms and Applications (seminar)
  • Knowledge graphs and algorithms (practical lab)

Prof. Dr. Dirk Reith

  • Technische Mechanik 3 – Kinetik/Kinematik
  • Konstruktions- und Designentwicklung für den G25e Formula Student Rennwagen (projects)

Prof. Dr. Marc Alexander Schweitzer

  • Einführung in die Numerische Lineare Algebra (lecture, exercise)

Prof. Dr. Marie-Christine Simon

  • Computational Microbiome and Brain Health

Prof. Dr. Tanja Clees

  • Informatik und Numerik (lecture, practical lab)
  • Simulation technischer Systeme (lecture, practical lab)
  • Modellbasierte Simulationstechniken (lecture, exercises)

Prof. Dr. Holger Fröhlich

  • Biomedical Data Science & AI
  • Advanced Methods in Biomedical Data Science & AI
  • Machine Learning Hands-on

Prof. Dr. Jochen Garcke

  • Practical Lab Numerical Algorithms
  • Advanced Topics in Numerical Methods in Science and Technology - Control Systems and Reinforcement Learning

Prof. Dr. Michael Griebel

  • Graduate Seminar on Numerical Simulation

Prof. Dr. Dirk Reith

  • Physik (Theoretische Physik I – Klassische Mechanik), (lecture, exercises)
  • RaceAcademy (seminar)
  • Formula Student: Cost- and Production-Management (seminar)

Prof. Dr. Tanja Clees

  • Informatik (lecture, exercises, practical lab)
  • Energie 4.0 (seminar)
  • Sektorkopplung (seminar)

Christian Ebeling

  • Biological Databases – design, implementation and optimization (lab course)
  • Programming lab II (practical lab)
  • Tools, Standards and Conventions in Python (practical lab)

Prof. Dr. Holger Fröhlich

  • Lab Biomedical Data Science

Prof. Dr. Martin Hofmann-Apitius

  • Intellectual and social pre-requisites for science (tutorial)
  • How to write a master thesis (tutorial)
  • Current trends in applied life science informatics (seminar)
  • Biological databases (lecture, exercise)
  • Aging clocks and organ-aging (seminar, with Jacobs)

Dr. Alpha Tom Kodamullil

  • Biomedical semantics and knowledge graphs – algorithms and applications (seminar)
  • Knowledge graphs and algorithms (practical lab)

Ottmar Krämer-Fuhrmann

  • App-Programmierung mit Android

Prof. Dr. Dirk Reith

  • Technische Mechanik 3 – Kinetik/Kinematik
  • Konstruktions- und Designentwicklung für den G25e Formula Student Rennwagen (projects)

Prof. Dr. Marc Alexander Schweitzer

  • Practical Lab Advanced Scientific Computing
  • Practical Lab Numerical Simulation
  • Programmierpraktikum Numerische Algorithmen

Prof. Dr. Marie-Christine Simon

  • Analytik des Mikrobioms (practical lab)
  • Ernährung und Mikrobiota (projects)

Prof. Dr. Tanja Clees

  • Informatik und Numerik (lecture, practical lab)
  • Simulation technischer Systeme (lecture, practical lab)
  • Modellbasierte Simulationstechniken (lecture, exercises)
  • Optimierungsverfahren (lecture, practical lab)

Prof. Dr. Holger Fröhlich

  • Biomedical Data Science & AI
  • Advanced Methods in Biomedical Data Science & AI
  • Machine Learning Hands-on

Prof. Dr. Jochen Garcke

  • Practical Lab Numerical Algorithms
  • Wissenschaftliches Rechnen II (lecture, exercises)

Prof. Dr. Michael Griebel

  • Graduate Seminar on Numerical Simulation

Prof. Dr. Martin Hofmann-Apitius

  • Knowledge Graph Algorithms

Prof. Dr. Dirk Reith

  • Physik (Theoretische Physik I – Klassische Mechanik), (lecture, exercises)
  • RaceAcademy (seminar)
  • Formula Student: Cost- and Production-Management (seminar)

Prof. Dr. Tanja Clees

  • Informatik (lecture, exercises, practical lab)
  • Energie 4.0 (seminar)
  • Sektorkopplung (seminar)

Christian Ebeling

  • Biological Databases – design, implementation and optimization (lab course)
  • Programming lab II (practical lab)

Prof. Dr. Holger Fröhlich

  • Lab Biomedical Data Science

Prof. Dr. Michael Griebel

  • Graduate Seminar on Numerical Simulation

Prof. Dr. Martin Hofmann-Apitius

  • Intellectual and social pre-requisites for science (tutorial)
  • How to write a master thesis (tutorial)
  • Current trends in applied life science informatics (seminar)
  • Biological databases (lecture, exercise)
  • LSI exam regulations (tutorial)

Dr. Alpha Tom Kodamullil

  • Biomedical semantics and knowledge graphs – algorithms and applications (seminar)

Ottmar Krämer-Fuhrmann

  • App-Programmierung mit Android

Prof. Dr. Dirk Reith

  • Technische Mechanik 3 – Kinetik/Kinematik
  • Seminar Race Academy
  • Konstruktions- und Design-Projekte für Formular Student

Yasamin Salimi, Vinay Srinivas Bharadhwaj

  • Longitudinal modeling of disease progression (lab course)

Prof. Dr. Marc Alexander Schweitzer

  • Practical Lab Advanced Scientific Computing
  • Practical Lab Numerical Simulation
  • Programmierpraktikum Numerische Algorithmen

Prof. Dr. Thomas Soddemann

  • MicroServices mit Spring Boot

Prof. Dr. Tanja Clees

  • Informatik und Numerik (lecture, practical lab)
  • Simulation technischer Systeme (lecture, practical lab)
  • Modellbasierte Simulationstechniken (lecture, exercises)
  • Optimierungsverfahren (lecture, practical lab)

Prof. Dr. Holger Fröhlich

  • Biomedical Data Science & AI
  • Advanced Methods in Biomedical Data Science & AI
  • Machine Learning Hands-on (with Lentzen, Madan)

Prof. Dr. Jochen Garcke

  • Practical Lab Numerical Algorithms
  • Selected Topics in Numerical Methods in Science and Technology
  • Programmierpraktikum Numerische Algorithmen

Prof. Dr. Michael Griebel

  • Graduate Seminar on Numerical Simulation
  • Oberseminar Numerische Simulation

Prof. Dr. Dirk Reith

  • Physik (Theoretische Physik I – Klassische Mechanik), (lecture, exercises)
  • Fertigungsprojekte für Formular Student G23e
  • Ausgewählte Einflussfaktoren nachhaltiger Fahrzeugentwicklung

Dr. Julian Ritter

  • Mathematisches Professionswissen für das Lehramt an Grundschulen I.1

Prof. Dr. Tanja Clees

  • Informatik (lecture, exercises, practical lab)
  • Energie 4.0 (seminar)
  • Sektorkopplung (seminar)

Prof. Dr. Martin Hofmann-Apitius

  • Intellectual and social pre-requisites for science (tutorial)
  • How to write a master thesis (tutorial)
  • Current trends in applied life science informatics (seminar)
  • Biological databases (lecture, exercise)
  • LSI exam regulations (tutorial)

Christian Ebeling

  • Databases – design, implementation and optimisation (lab course)

Jürgen Klein, Bruce Schultz

  • Programming lab II (practical lab)

Dr. Alpha Tom Kodamullil

  • Biomedical semantics and knowledge graphs – algorithms and applications (seminar)

Sophia Krix

  • Biomedical data science and ai (tutorial)

Dr. Daniel Oeltz

  • Forschungsprojekt Risikomanagement (lecture, seminar)

Tamara Raschka, Yasemin Salimi

  • Longitudinal modelling of disease progression (lab course)

Prof. Dr. Marc Alexander Schweitzer

  • Efficient & User-friendly Parallel Implementation of Finite Difference Methods
  • Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens

Prof. Dr. Tanja Clees

  • Informatik und Numerik (lecture, practical lab)
  • Simulation technischer Systeme (lecture, practical lab)
  • Modellbasierte Simulationstechniken (lecture, exercises)
  • Optimierungsverfahren (lecture, practical lab)

Prof. Dr. Holger Fröhlich

  • Biomedical Data Science & AI
  • Advanced Methods in Biomedical Data Science & AI

Prof. Dr. Jochen Garcke

  • Practical Lab Numerical Algorithms
  • Numerical Simulation - Optimal Control and Reinforcement Learning (lecture, exercises)

Prof. Dr. Michael Griebel

  • Graduate Seminar on Numerical Simulation
  • Oberseminar Numerische Simulation

Thomas Linden, Sumit Madan, Prof. Dr. Holger Fröhlich

  • Machine Learning Hands-On

Prof. Dr. Dirk Reith

  • Physik (Theoretische Physik I - Klassische Mechanik), (lecture, exercises)
  • Seminar Race-Academy (seminar)
  • Seminar Cost-and-Production-Management in der Fahrzeugentwicklung (seminar)

Prof. Dr. Tanja Clees

  • Informatik (lecture, exercises, practical lab)
  • Energie 4.0 (seminar)
  • Sektorkopplung (seminar)

Christian Ebeling

  • Databases - Design, Implementation and Optimisation (lab course)

Prof. Dr. Michael Griebel

  • Numerical methods for high-dimensional kinetic partial differential equations (seminar)
  • Oberseminar Numerische Simulation

Dr. Jan Hamaekers

  • Ausgewählte Themen des Maschinellen Lernens (lecture + seminar)

Prof. Dr. Martin Hofmann-Apitius

  • Biological Databases (lecture, exercises)
  • Current Trends in Applied Life Science Informatics (seminar)

Prof. Dr. Martin Hofmann-Apitius, Dr. Daniel Domingo-Fernández

  • Mechanism enrichment using NeuroMMSig (lab course)

Prof. Dr. Martin Hofmann-Apitius, Meemansa Sood, Sepehr Golriz Khatami

  • Longitudinal modelling of disease progression (lab course)

Jürgen Klein, Bruce Schultz

  • Programming Lab II (practical lab)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Android Programmierung (Praxisprojekt)

Prof. Dr. Dirk Reith

  • Technische Mechanik 3 - Kinetik/Kinematik (lecture, exercises)
  • Ausgewählte Kapitel der technischen Mechanik (TM4)
  • CAD Praxis (Projekt 1)
  • Elektronisches Schaltungsdesign in Altium (Projekt 1)

Prof. Dr. Marc Alexander Schweitzer

  • Numerical Algorithms (lecture and exercises)

Prof. Dr. Marc Alexander Schweitzer, Matthias Birner, Pablo Jiménez Recio, Lukas Troska

  • Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens (practical lab)
  • Programming Methods in Scientific Computing (practical lab)

Prof. Dr. Tanja Clees

  • Informatik und Numerik (lecture, practical lab)
  • Simulation technischer Systeme (lecture, practical lab)
  • Modellbasierte Simulationstechniken (lecture, exercises)
  • Optimierungsverfahren (lecture, practical lab)
  • Verteilt arbeitendes Raspberry-Pi-Cluster (Bachelorprojekt)

Prof. Dr. Holger Fröhlich

  • Biomedical Data Science & AI
  • Advanced Methods in Biomedical Data Science & AI

Prof. Dr. Jochen Garcke

  • Wissenschaftliches Rechnen II (lecture, exercises)
  • Numerical Simulation - Algorithms in Machine Learning and their Application (practical lab)

Prof. Dr. Michael Griebel

  • The approximation theory of deep learning (seminar)

Prof. Dr. Michael Griebel, Dr. Jan Hamaekers

  • Particle methods and meshless discretization (practical lab)
  • Partikelmethoden und gitterlose Diskretisierung (pracical lab)

Thomas Linden, Sumit Madan, Prof. Dr. Holger Fröhlich

  • Machine Learning Hands-On

Prof. Dr. Dirk Reith

  • Physik (Theoretische Physik I - Klassische Mechanik), (lecture, exercises)
  • Ausgewählte Kapitel in der nachhaltigen Fahrzeugentwicklung (seminar)
  • Elektronisches Schaltungsdesign in Altium für Fortgeschrittene (Projekt 2)
  • Fortgeschrittene CAD-Praxis (Projekt 2)

Prof. Dr. Marc Alexander Schweitzer, Clelia Albrecht

  • Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens (practical lab)
  • Programming Methods in Scientific Computing (practical lab)

Prof. Dr. Tanja Clees

  • Informatik (lecture, exercises, practical lab)
  • Energie 4.0 (seminaristic lessons)

Christian Ebeling

  • Biomedical Databases - Design, Implementation and Optimisation (lab course)

Prof. Dr. Juliane Fluck, Prof. Dr. Jan-Henrik Haunert

  • Geo-Information Management in Interdisciplinary Research Context (lecture, exercises)

Prof. Dr. Martin Hofmann-Apitius

  • Biological Databases (lecture, exercises)
  • LSI exam regulations (tutorial)
  • Interlectual and social prerequisites for science (tutorial)
  • How to write a Master Thesis (tutorial)
  • Current Trends in Applied Life Science Informatics (seminar)

Prof. Dr. Martin Hofmann-Apitius, Bruce Schultz, Jürgen Klein

  • Programming Lab II (lab course)

Prof. Dr. Martin Hofmann-Apitius, Dr. Daniel Domingo-Fernández

  • Mechanism enrichment using NeuroMMSig (lab course)

Prof. Dr. Martin Hofmann-Apitius, Sepehr Golriz Khatami, Reagon Karki

  • Role of data analysis in longitudinal and event based disease modeling (lab course)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Android Programmierung (laboratory course)

Prof. Dr. Ute Nöthlings, Prof. Dr. Juliane Fluck

  • Forschungsdatenmanagement in Humanstudien (lecture, exercises)

Prof. Dr. Dirk Reith

  • Technische Mechanik 3 - Kinetik/Kinematik (lecture, exercises)
  • Ausgewählte Kapitel der technischen Mechanik (TM4)
  • Projekt 1 "CAD Praxis"
  • Projekt 1 "Elektronisches Schaltungsdesign in Altium"

Prof. Dr. Marc Alexander Schweitzer

  • Einführung in die Programmiermethoden des praktischen Rechnens (practical lab)
  • Programming Methods in Scientific Computing (practical lab)
        

Prof. Dr. Tanja Clees

  • Ingenieurwissenschaftliche Werkzeuge: Informatik und Numerik (lecture, practical lab)
  • Simulation technischer Systeme (lecture, practical lab)
  • Modellbasierte Simulationstechniken in der Produktentwicklung (lecture, practical lab)
  • Seminar AK Energie

Dr. Jens Dörpinghaus

  • Knowledge Graphs and their Applications in Life Sciences

Prof. Dr. Holger Fröhlich

  • Biomedical Data Science & AI
  • Advanced Methods in Biomedical Data Science & AI

Prof. Dr. Jochen Garcke

  • Einführung in die Numerische Mathematik (lecture, exercises)
  • Abschlussvortrag als Online-Seminarvortrag

Prof. Dr. Michael Griebel

  • Master's Thesis Seminar
  • Oberseminar Numerische Simulation

Dr. Jan Hamaekers, Prof. Dr. Michael Griebel

  • Practical Lab Numerical Simulation - Particle methods and meshless discretization
  • Programmierpraktikum numerische Algorithmen

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Programmieren von Android-Apps (laboratory course)

Thomas Linden, Sumit Madan, Prof. Dr. Holger Fröhlich

  • Machine Learning Hands-On

Prof. Dr. Dirk Reith

  • Physik (lecture, exercises)
  • Cost- and Production Management Formula  Student (seminar)
        

Prof. Dr. Tanja Clees

  • Informatik (lecture, exercises, practical lab)
  • Energie 4.0 (seminar and practical lab)
  • Starterprojekte "Windmühlen, Dynamics und Co. (lecture, practical lab)
  • Mehrere Bachelor- und Masterprojekte

Christian Ebeling

  • Biomedical Databases - Design, Implementation and Optimisation (lab course)

Prof. Dr. Juliane Fluck / Prof. Dr. Jan-Henrik Haunert

  • Geo-Information Management in Interdisciplinary Research Context (lecture, exercises)

Prof. Dr. Holger Fröhlich

  • Data Mining and Machine Learning in the Life Sciences (lecture)

Prof. Dr. Michael Griebel

  • Practical Lab Numerical Simulation – Computational Finance (practical lab)

Prof. Dr. Martin Hofmann-Apitius

  • Biological Databases (lecture, exercises)
  • LSI exam regulations (tutorial)
  • How to write a master's thesis (tutorial)
  • Current Trends in Applied Life Science Informatics (seminar)

Prof Dr. Martin Hofmann-Apitius / Dr. Jens Dörpinghaus / Sebastian Schaaf

  • Programming Lab II (lab course)

Prof Dr. Martin Hofmann-Apitius / Daniel Domingo Fernández

  • Mechanism enrichment using NeuroMMSig (lab course)

Prof. Dr. Martin Hofmann-Apitius / Meemansa Sood / Sepehr Golriz Khatami

  • Role of data analysis in longitudinal and event based disease modeling (lab course)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Programmieren von Android-Apps (laboratory course)

Prof. Dr. Dirk Reith

  • Technische Mechanik 3 - Dynamik (laboratory course)
  • Ausgewählte Kapitel der technischen Mechanik (TM4)
  • Seminar "Race Academy / Effiziente Mobilität"
  • Projekt 1 "Entwicklungsthemen Formula Student Rennwagen G20e"

Prof. Dr. Marc Alexander Schweitzer

  • Einführung in die Grundlagen der Numerik (lecture/exercises)
  • Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens (practical lab)

Prof. Dr. Tanja Clees

  • Simulation mechatronischer Systeme (lecture, practical lab)
  • Modellbasierte Simulationstechniken (lecture and exercises)
  • Ingenieurwissenschaftliche Werkzeuge: Informatik/Numerik (lecture, practical lab)
  • Energie 4.0 (Bachelorprojekt)
  • Mehrere Masterprojekte zu Energiethemen

Prof. Dr. Jochen Garcke

  • Practical Lab Numerical Simulation - Algorithms in Machine Learning and their Application (practical lab)
  • Selected topics in numerical methods in science and technology - nonlinear dimensionality reduction (lecture)

Prof. Dr. Michael Griebel

  • The approximation theory of deep learning (graduate seminar on numerical simulation)
  • Master's thesis seminar (seminar)
  • Oberseminar Numerische Simulation (post graduate seminar)

Dr. Jan Hamaekers

  • Forschungsprojekt Datenanalyse (research project)

Prof. Dr. Juliane Fluck / Prof. Dr. Martin Hofmann-Apitius

  • Knowledge Discovery (lecture)

Prof. Dr. Dirk Reith

  • Allgemeine Physik (Theoretische Physik I) (lecture, exercises)
  • RaceAcademy / Effiziente Mobilität (seminar)
  • Ausgewählte Kapitel der nachhaltigen Fahrzeugentwicklung (seminar)
  • Projekt 2 und 3 "Konstruktionsdesign und Cost-Report"

Prof. Dr. Tanja Clees

  • Informatik (lecture, exercises, practical lab)
  • Energie 4.0 (lecture and exercises)
  • Windmühlen, Dynamos und Co. (Starterprojekt)
  • Gas-to-X (Masterprojekt 2)

Christian Ebeling

  • Biomedical Databases - Design, Implementation and Optimisation (lab course)

Prof. Dr. Jochen Garcke / Prof. Dr. Michael Griebel

  • Numerical Simulation (practical lab)

Prof. Dr. Michael Griebel

  • Begleitseminar zur Bachelorarbeit
  • Master's Thesis Seminar
  • Hauptseminar Numerik
  • Oberseminar Numerische Simulation

Prof. Dr. Martin Hofmann-Apitius

  • Biological Databases (lecture, exercises)
  • LSI exam regulations (tutorial)
  • How to write a master's thesis (tutorial)
  • Current Trends in Applied Life Science Informatics (seminar)

Prof Dr. Martin Hofmann-Apitius / Jens Dörpinghaus / Sebastian Schaaf

  • Programming Lab II (lab course)

Prof. Dr. Martin Hofmann-Apitius / Daniel Domingo-Fernández

  • Mechanism enrichment using NeuroMMSig (lab course)

Prof. Dr. Martin Hofmann-Apitius / Charles Hoyt

  • Knowlege Assembly, Data Integration and Modelling in Systems and Networks Biology (seminar)

Prof. Dr. Martin Hofmann-Apitius / Meemansa Sood / Sepehr Golriz Khatami

  • Role of data analysis in longitudinal and event based disease modeling (lab course)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Programmieren von Android-Apps (laboratory course)

Prof. Dr. Dirk Reith

  • Höhere Technische Mechanik(lecture/exercises)
  • Technische Mechanik 3 - Dynamik (lecture/exercises)
  • RaceAcademy / Effiziente Mobilität (seminar)
  • Projekt 1 "Formula-Student"

Prof. Dr. Marc Alexander Schweitzer

  • Numerical Algorithms (lecture/exercises)
  • Programmiermethoden des Wissenschaftlichen Rechnens (practical lab)

Prof. Dr. Tanja Clees

  • Simulation mechatronischer Systeme (lecture, exercises, practical lab)
  • Modellbasierte Simulationstechniken in der Produktentwicklung (lecture and exercises)
  • Mini Big Data Lab (Bachelorprojekte)
  • Gas-to-X (Masterprojekt)

Prof. Dr. Jochen Garcke

  • Numerical Simulation - Optimal Control and Reinforcement Learning (lecture and exercises)

Prof. Dr. Jochen Garcke / Prof. Dr. Michael Griebel

  • Practical Lab Numerical Simulation - Algorithms in Machine Learning and their Application (practical lab)

Prof. Dr. Michael Griebel

  • Numerical Simulation - Optimal control and reinforcement learning (lecture and exercises)
  • Begleitseminar zur Bachelorarbeit (seminar)
  • Master's thesis seminar (seminar)
  • Oberseminar Numerische Simulation (post graduate seminar)

Prof. Dr. Martin Hofmann-Apitius

  • Knowledge Discovery (lecture)

Prof. Dr. Dirk Reith

  • Technische Mechanik 2 (lecture, exercises lab)
  • RaceAcademy / Effiziente Mobilität (seminar)
  • Projekt 2 und 3 "Formula-Student" (practical lab)

Dr. Dustin Feld

  • Informatik (practical lab)

Prof. Dr. Thomas Gerstner

  • Einführung in die computerorientierte Mathematik (lecture/exercises)
  • Computational Finance 2 (lecture/exercises)
  • Numerische Verfahren der Finanzmathematik (block seminar)

Prof. Dr. Michael Griebel

  • Begleitseminar zur Bachelorarbeit (seminar)
  • Hauptseminar Numerik - Neural Networks in Approximation Theory (seminar)
  • Graduate Seminar on Numerical Analysis (post-graduate seminar)

Dr. Jan Hamaekers

  • Practical Lab Numerical Simulation: Particle methods and meshless discretization
  • Programmierpraktikum Partikelmethoden und gitterlose Diskretisierung

Prof. Dr. Martin Hofmann-Apitius

  • Biological Databases (lecture/exercise)

Prof. Dr. Martin Hofmann-Apitius / Dr. Marc Jacobs

  • Programming Lab III (lab course)

Prof. Dr. Marc Alexander Schweitzer

  • Numerical Algorithms (lecture/exercises)

Dr. Einar Smith

  • Programmiermethoden des Wissenschaftlichen Rechnens (laboratory)
  • Programming Methods in Scientific Computing (laboratory)

Dr. Dustin Feld

  • Informatik (practical lab)

Prof. Dr. Jochen Garcke

  • Numerical Simulation - Optimal Control and Reinforcement Learning (lecture and exercises)

Prof. Dr. Thomas Gerstner

  • Computational Finance (lecture and exercises)
  • Stochastische Numerik (lecture and exercises)
  • Numerische Verfahren der Finanzmathematik (block seminar)

Dipl.-Wirtsch.-Math. Dustin Feld

  • Informatik (practical lab)

Prof. Dr. Thomas Gerstner

  • Einführung in die Numerik (lecture/exercises)
  • Wavelets (lecture/exercises)
  • Numerische Methoden der Finanzmathematik (block seminar)
  • Numerische Finanzmathematik (advanced seminar)
  • Scilab Vorsemesterkurs (block seminar)

Prof. Dr. Michael Griebel

  • Practical Lab Numerical Simulation – Computational Fluid Dynamics (laboratory)
  • Programmierpraktikum numerische Algorithmen – Numerische Simulation in der Strömungsmechanik (laboratory)

Prof. Dr. Martin Hofmann-Apitius

  • Modeling of Neurodegenerative Diseases and Biomarker Identification (seminar)
  • Current Trends in Applied Life Science Informatics (seminar)

Prof. Dr. Martin Hofmann-Apitius / Dr. Marc Jacobs / Jens Dörpinghaus / Sebastian Schaaf / Sven Hodapp

  • Programming Lab III (lab course)

Prof. Dr. Martin Hofmann-Apitius / Reagon Karki / Asif Emon

  • Biological Databases (lecture/exercise)

Prof. Dr. Martin Hofmann-Apitius / Asif Emon / Anandhi Iyappan

  • Knowledge Discovery Technologies (seminar)
  • Modeling of Neurodegenerative diseases and biomarker identification (seminar)

Prof. Dr. Wolfgang Joppich

  • Ingenieurinformatik I (lecture, exercises, practical lab)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Programmieren von Android-Apps (laboratory course)

Prof. Dr. Dirk Reith

  • Physik-Anfängerpraktikum

Prof. Dr. Dirk Reith / Prof. Dr. Katharina Seuser

  • Forschung kommunizieren! (seminar)

Prof. Dr. Marc Alexander Schweitzer

  • Numerical Algorithms (lecture/exercises)

Dr. Einar Smith

  • Programmiermethoden des Wissenschaftlichen Rechnens (laboratory)
  • Programming Methods in Scientific Computing (laboratory)

Dipl.-Wirtsch.-Math. Dustin Feld

  • Informatik (practical lab)

Prof. Dr. Jochen Garcke

  • Wissenschaftliches Rechnen II (lecture and exercises)

Prof. Dr. Thomas Gerstner

  • Computational Finance 2 (lecture and exercises)
  • Monte-Carlo-Verfahren (lecture and exercises)
  • Splines (proseminar)
  • Numerische Methoden der Finanzmathematik (block seminar)
  • Numerische Finanzmathematik (advanced seminar)

Prof. Dr. Michael Griebel / Dr. Jan Hamaekers

  • Programmierpraktikum Partikelmethoden und gitterlose Diskretisierung – Bachelor (laboratory)
  • Practical Lab Particle Methods and Meshless Discretization – Master (laboratory)

Prof. Dr. Martin Hofmann-Apitius / Dr. Juliane Fluck / Dr. Marc Jacobs / Shweta Bagewadi Kawalia

  • Life Science Knowledge Discovery (lecture)

Prof. Dr. Martin Hofmann-Apitius / Christian Ebeling

  • Biomedical Databases - Design, Implementation and Optimisation (seminar)

Prof. Dr. Martin Hofmann-Apitius / Anandhi Iyappan

  • Modelling of Neurodegenerative Diseases and Biomarker Identification (seminar)
  • Current Trends in Applied Life Science Informatics (seminar)
  • Industrial Systems Biology (seminar)

Prof. Dr. Martin Hofmann-Apitius / Asif Emon / Reagon Karki

  • Industrial Systems Biology (seminar)

Prof. Dr. Wolfgang Joppich

  • Labor Informatik (lecture, practical lab)
  • Modellbildung und Simulation mechatronischer Systeme (lecture, exercieses, practical lab)
  • Modellbasierte Simulationstechniken (lecture, practical lab)

Dr. Jan Kleinert

  • Einführung in die Mehrkörpersimulation (lecture)

Prof. Dr. Dirk Reith

  • Modellbildung/Simulation II für Produktentwickler (lecture and exercises)
  • Werkstoffklasse »Kunststoffe« unter Nachhaltigkeitsaspekten (lecture)
  • Praxisprojekt: Erstellung einer Bauanleitung und Konstruktion von Kinderspielzeug für Flüchtlinge (practical lab)
  • Praxisprojekt-Betreuung: Konstruktionsdesign Formula Student (practical lab)

Dr. Einar Smith

  • Programmiermethoden des Wissenschaftlichen Rechnens (laboratory)
  • Programming Methods in Scientific Computing (laboratory)

Dipl.-Wirtsch.-Math. Dustin Feld

  • Informatik (practical lab)

Prof. Dr. Thomas Gerstner

  • Computational Finance (lecture/exercises)
  • Numerik partieller Differentialgleichungen (lecture/exercises)
  • Numerische Methoden der Finanzmathematik (block seminar)
  • Numerische Mathematik (advanced seminar)

Prof. Dr. Michael Griebel

  • Practical Lab Numerical Simulation – Computational Finance (laboratory)
  • Programmierpraktikum numerische Algorithmen – Numerische Verfahren der Finanzmathematik (laboratory)

Prof. Dr. Martin Hofmann-Apitius

  • Biological Databases (lecture/exercise)
  • Knowledge Discovery Technologies (seminar)
  • Modeling of Neurodegenerative diseases and biomarker identification (seminar)
  • Current Trends in Applied Life Science Informatics (seminar)
  • ENSEMBL Workshop (lab course)

Prof. Dr. Martin Hofmann-Apitius / Dr. Marc Zimmermann

  • Programming Lab III (lab course)

Dipl.-Math. Marco Hülsmann

  • Algebraische und zahlentheoretische Grundlagen für die Informatik (lecture and exercises)

Prof. Dr. Wolfgang Joppich

  • Ingenieurinformatik I (lecture, exercises, practical lab)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Programmieren von Android-Apps (practical lab)

Prof. Dr. Dirk Reith

  • Forschung kommunizieren (seminar)
  • Starterprojekt Brückenbau-Wettbewerb (practical lab)
  • Praxisprojekt-Betreuung: Windkanal (practical lab)

Prof. Dr. Marc Alexander Schweitzer

  • Wissenschaftliches Rechnen I (Scientific Computing I) (lecture/exercises)
  • Wissenschaftliches Rechnen (seminar)

Dr. Philipp Senger / Shweta Bagewadi

  • Analysis of Microarray Data with Machine Learning Methods

Dr. Einar Smith

  • Programmiermethoden des Wissenschaftlichen Rechnens (laboratory)

Dipl.-Wirtsch.-Math. Dustin Feld

  • Informatik (practical lab)

Prof. Dr. Jochen Garcke

  • Einführung in die Numerische Mathematik (lecture and exercises)
  • Hauptseminar Numerik (seminar)

Prof. Dr. Thomas Gerstner

  • Differentialgleichungen (lecture and exercises)
  • Stochastische Numerik (lecture and exercises)
  • Numerische Methoden der Finanzmathematik (block seminar)
  • Numerische Finanzmathematik (advanced seminar)

Prof. Dr. Michael Griebel

  • Programmierpraktikum numerische Algorithmen – Numerische Simulation in der Strömungsdynamik – Bachelor (laboratory)
  • Practical Lab Numerical Simulation – Computational Fluid Dynamics – Master (laboratory)

Prof. Dr. Martin Hofmann-Apitius

  • Life Science Knowledge Discovery (lecture)
  • Machine Learning Methods in Systems Biology (seminar)
  • Modelling of Neurodegenerative Diseases and Biomarker Identification (seminar)
  • Current Trends in Applied Life Science Informatics (seminar)
  • In silico experimentation using e-labs (lab course)
  • Industrial Systems Biology (seminar)

Prof. Dr. Wolfgang Joppich

  • Ingenieurinformatik II (lecture, exercises, practical lab)
  • Modellbildung und Simulation mechatronischer Systeme (lecture, exercieses, practical lab)
  • Modellbasierte Simulationstechniken (lecture, practical lab)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Objektorientiertes Programmieren mit C++ (lecture and exercises)

Prof. Dr. Dirk Reith

  • Modellbildung/Simulation I für Produktentwickler (lecture and exercises)
  • Nachhaltige E-Mobilität (lecture/seminar)
  • Praxisprojekt-Betreuung: Formula Student (practical lab)

Dipl.-Wirtsch.-Math. Dustin Feld

  • Programmierpraktikum I (practical lab)
  • Informatik für Maschinenbau I, II

Prof. Dr. Thomas Gerstner

  • Computerorientierte Mathematik (lecture)
  • Quadraturverfahren (lecture)
  • Programmierpraktikum Computational Finance (practical lab)

Prof. Dr. Michael Griebel/Dr. Jan Hamaekers

  • Particle methods and meshless discretization (practical lab)
  • Partikelmethoden und gitterlose Diskretisierung (practical lab)

Prof. Dr. Martin Hofmann-Apitius

  • Knowledge Discovery Technologies (seminar)
  • Modeling of Neurodegenerative diseases and biomarker identification (seminar)
  • Current Trends in Applied Life Science Informatics (seminar)
  • Biological Databases (lecture/exercise)

Prof. Dr. Martin Hofmann-Apitius/Dr. Marc Zimmermann

  • Programming Lab III (lab course)

Dr. Marco Hülsmann

  • Mathematik I (lecture/exercise)

Prof. Dr. Wolfgang Joppich/Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Einführung in die Programmierung von Android Smartphones (practical lab)

Prof. Dr. Wolfgang Joppich

  • Starterprojekt LEGO-Roboter programmieren

Dipl.-Inf. Ottmar Krämer-Fuhrmann

  • Methoden der objektorientierten Programmierung (seminar)

Dipl.-Math. Bettina Landvogt/Nadja Wirth

  • Informatik Labor (practical lab)

Prof. Dr. Dirk Reith

  • Mathematik I für MB (lecture and exercises)
  • Physik I für MB (lecture and exercises)

Prof. Dr. Marc Alexander Schweitzer

  • Einführung in die Grundlagen der Numerik (lecture)

Shweta Bagewadi / Prof. Dr. Martin Hofmann-Apitius

  • Current Trends in Applied Life Science Informatics (seminar)

Dipl.-Wirtsch.-Math. Dustin Feld

  • Programmierpraktikum II (practical lab)

Prof. Dr. Jochen Garcke

  • Algorithmische Mathematik II (lecture)
  • Algorithmen im Data Mining (seminar)

Prof. Dr. Thomas Gerstner

  • Monte Carlo Verfahren (lecture)
  • Hierarchische numerische Verfahren (lecture)

Prof. Dr. Michael Griebel

  • Graduate Seminar in Numerical Simulation – Advanced Topics in Scientific Computing (seminar)
  • Numerical Simulation – Computational Finance (practical lab)
  • Programmierpraktikum numerische Algorithmen – Numerische Verfahren der Finanzmathematik (practical lab)

Prof. Dr. Martin Hofmann-Apitius

  • Life Science Knowledge Discovery (lecture)
  • Modelling of Neurodegenerative diseases and biomarker identification (seminar)

Prof. Dr. Martin Hofmann-Apitius u.a.

  • Tutorial: How to write a master's thesis
  • Computational Systems Biology (seminar)
  • In silico experimentation using e-labs (lab course)

Prof. Dr. Martin Hofmann-Apitius / industrial partners

  • Industrial Systems Biology (seminar)

Prof. Dr. Martin Hofmann-Apitius / Dr. Erfan Younesi

  • Jamboree »Knowledge Engineering« (lab course)

Dipl.-Math. Bettina Landvogt / Nadja Wirth

  • Informatik Labor (practical lab)

Prof. Dr. Dirk Reith

  • Technische Mechanik II (lecture and exercises)

Dr. Philipp Senger /Dr. Marc Zimmermann u.a.

  • Practical Microarray Analysis using R (lab course)

Dipl.-Wirtsch.-Math. Dustin Feld

  • Programmierpraktikum I (practical lab)
  • Informatik für Maschinenbau I, II

Prof. Dr. Thomas Gerstner

  • Einführung in die Numerik (lecture)
  • Elementare Angewandte Mathematik (lecture)
  • Proseminar: Permutationen

Prof. Dr. Thomas Gerstner u.a.

  • Finance (seminar)

Prof. Dr. Martin Hofmann-Apitius

  • Grid Computing (seminar)
  • Modelling of Neurodegenerative diseases and biomarker identification (seminar)
  • Current Trends in Applied Life Science Informatics (seminar)
  • Biological Databases (lecture/exercise)
  • Knowledge Discovery Technologies (seminar)

Prof. Dr. Martin Hofmann-Apitius u.a.

  • STN Training (seminar)

Prof. Dr. Martin Hofmann-Apitius / Dr. Marc Zimmermann

  • Open Pharmacological Space (practical lab)

Prof. Dr. Dirk Reith

  • Physik I (lecture, exercises and practical lab)

Dipl.-Wirtsch.-Math. Dustin Feld

  • Programmierpraktikum II

Dipl.-Wirtsch.-Math. Dustin Feld / M.Sc. Lauretta Schubert

  • Informatik für Maschinenbau I, II (practical lab)

Prof. Dr. Jochen Garcke

  • Selected Topics in Numerical Methods in Science and Technology – Mathematical Methods in Machine Learning
  • Data Mining, Simulation und Optimierung für Anwendungen im Energiebereich

Prof. Dr. Thomas Gerstner

  • Computational Finance (lecture)
  • Wavelets (lecture)
  • Multilevelverfahren in der Finanzmathematik (seminar)

Prof. Dr. Michael Griebel

  • Numerical Algorithms for High-dimensional Problems (Master) (lecture)
  • Graduate Seminar on Numerical Analysis (seminar)
  • Hauptseminar Numerik (seminar)

Prof. Dr. Michael Griebel / Dr. Jan Hamaekers

  • Particle methods and meshless discretization
  • Partikelmethoden und gitterlose Diskretisierung

Prof. Dr. Martin Hofmann-Apitius

  • Industrial Systems Biology (tutorial)
  • Modelling of Neurodegenerative diseases and biomarker identification (seminar)
  • Life Science Knowledge Discovery (lecture)

Prof. Dr. Martin Hofmann-Apitius / Shweta Bagewadi

  • Current Trends in Applied Life Science Informatics (seminar)

Prof. Dr. Martin Hofmann-Apitius u.a.

  • In silico experimentation using e-labs (practical lab)
  • Computational Systems Biology

Prof. Dr. Martin Hofmann-Apitius / Dr. Erfan Younesi

  • Jamboree »Knowledge Engineering« (practical lab)

Dr. Karl Kirschner

  • Molecular Modeling using Quantum Mechanics, Molecular Mechanics, and Molecular Dynamics (practical lab)

Prof. Dr. Dirk Reith

  • Technische Mechanik II (lecture and exercises)

Dr. Philipp Senger / Dr. Marc Zimmermann u.a.

  • Analysis of Microarray Data with Methods from Machine Learning and Network Theory (Lab Course 1: Practical Microarray Analysis using R)

Prof. Dr. Marc Alexander Schweitzer

  • Mathematische Modellierung (seminar)

Dipl.-Wirtsch.-Math. Dustin Feld / M.Sc. Lauretta Schubert

  • Informatik für Maschinenbau I, II

Prof. Dr. Michael Griebel

  • Numerical Simulation – Computational Finance (practical lab)
  • Programmierpraktikum numerische Algorithmen – Numerische Verfahren der Finanzmathematik (practical lab)

Prof Dr. Martin Hofmann-Apitius

  • Biological Databases (lecture / exercise)
  • Knowledge Discovery Technologies (seminar)
  • Modelling of Neurodegenerative diseases and biomarker identification (seminar)
  • Current Trends in Applied Life Science Informatics (seminar)
  • Grid Computing (seminar)

Prof. Dr. Martin Hofmann-Apitius / FIZ Karlsruhe

  • STN Training (seminar)

Prof. Dr. Martin Hofmann-Apitius / Dr. Erfan Younesi

  • LSI Software Practical (practical lab)

Prof. Dr. Martin Hofmann-Apitius / Dr. Marc Zimmermann

  • Open Pharmacological Space (practical lab)