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Mathematics and Scienfitic ComputingCourses Offered at Regular Intervals

Please be aware that this page is for orientation only. If you want to know what courses to take for your study program, look at the degree regulation and course handbook of your program. These are the only documents providing binding information on this topic. They can be found in the download center. Moreover, we provide an unbinding list of courses planned for future semesters.

Table

Advanced Machine Learning
follows Fundamentals of Machine Learning
Algebra 1
yearly in winter
Algebra 2
yearly in summer
Algebraische Topologie 1
every other year
Algorithm Engineering
yearly in summer
Algorithms and Data Structures 2
yearly in winter
Analysis 1
yearly in winter
Analysis 2
yearly in summer
Complex Network Analysis
every other winter
Computer Graphics
every third semester
Computerspiele
yearly in summer
Differentialgeometrie 1
yearly in summer
Discrete Structures 1
yearly in winter
Einführung in die Geometrie
yearly in summer
Einführung in die Numerik
every semester
Einführung in die Praktische Informatik
yearly in winter
Einführung in die Theoretische Informatik
yearly in summer
Einführung in die Wahrscheinlichkeitstheorie und Statistik
at least every other semester
Fachdidaktische Reduktion an ausgewählten Themen der Mathematik für das Gymnasium
yearly in winter
Fachdidaktisches Seminar
yearly in summer
Funktionalanalysis
yearly
Funktionentheorie 1
yearly in summer
Geometric Modeling and Animation
every third semester
Gewöhnliche Differentialgleichungen
at least every fourth semester
Grundlagen der Optimierung
yearly
Help-Desk
every semester
Höhere Analysis
yearly in winter
Lineare Algebra 1
yearly in winter
Lineare Algebra 2
yearly in summer
Mathematikdidaktik für den Unterricht am
Gymnasium
yearly in summer
Mining Massive Datasets
at least every fourth semester
Numerical Linear Algebra
yearly in winter
Numerik
yearly in summer
Object-Oriented Programming for Scientic Computing
yearly in summer
Optimization for Machine Learning
yearly in winter
Partielle Differentialgleichungen
at least every fourth semester
Randomisierte Algorithmen
at least every fourth semester
Scientific Visualization
every third semester
Statistik
yearly in winter
Text Analytics
every other winter
Wahrscheinlichkeitstheorie
yearly in summer