This document provides an overview of mathematics curricula and courses at Saarland University in Germany. It describes the university's main fields of interest including partial differential equations, calculus of variations, and geometric analysis. It also outlines the university's teaching obligations, contact with universities in Russia, and awards and achievements of the mathematics department. Standard course structures are explained, including courses for bachelor's and master's degrees in mathematics as well as courses in mathematics for other STEM fields.
2. Partial Differential Equations
Calculus of Variations
Geometric Analysis
Fluid Mechanics
Image Analysis
Personal Fields of Interest
3. Higher Mathematics for Engineers
Special courses in geometry and mathematical
physics
Seminars for forthcoming teachers
Main Teaching Obligations
4. Long time guests at our chair (Martin Fuchs)
(DAAD, Humboldt Awards …)
Prof. Ladyshenskaya (St.Petersburg)
Prof. Osmolovskii (St. Petersburg)
Prof. Repin (St.Petersburg)
Prof. Seregin (St. Petersburg)
Prof. Shilkin (St. Petersburg)
Prof.Uraltseva (St. Petersburg)
Contact to Russia
5. Members of our group (Martin Fuchs)
P.D. Dr. Apushkinskaya (St.Petersburg)
Dr. Kinderknecht (Moskow)
Several visits in St. Petersburg
Contact to Russia
6. UdS Mathematics
Teaching:
Top rankings CHE
“Landespreis für Hochschullehre”
Research:
Two european research awards, Leibniz
award
Two ICM-invited talks
Several further awards and projects
Strong representation of students
9. School: 12 years instead of formerly 13
No more obligations concerning military
Possibility for excellent pupils: Juniorstudium
in school class 11 and 12
University: Bologna Process (Bachelor/Master
instead of Diploma, Magister, Staatsexamen)
German Education, Main Changes
10. 30 CP each semester (40 h per week)
1 CP: 30 hours of working
Beginners course: 9 CP (270 h per semester)
60 h lecture
30 h exercises
about 180 h homework
Bologna Process – Credit Points
11. 4 h lectures per week
2 h exercises (small groups up to 20 students)
Homework (exercises) is corrected and
discussed by students with some experience
Examinations (lecture + modul)
Standard Course
12. Analysis 1-3 (Calculus)
Lineare Algebra 1,2 (Linear Algebra)
Modellierung/Progammierung (Numerics)
Praktische Mathematik (Numerics)
Theorie und Numerik gewöhnlicher
Differentialgleichungen (Ordinary Differential
Equations)
Special Courses (leading to a thesis)
BSc Mathematics
13. Mathematics in Computer Sciences (3 x 4)
Mathematics in Engineering (4 x 4)
Mathematics in Sciences (2 x 4)
Mathematics in Biology (1 x 4)
MINT – STEM:
Mathematical Beginners Courses
14. Foundations
Limits, uniform convergence ...
Power series
exp & … (question: definition of e^sqrt{2} ?)
R^n (vector), complex numbers
Mathematical Beginners Courses
for Engineers I
15. Matrices (definition, calculus, det …)
Linear mappings (representation by matrices,
tensor …)
Continuity
Differentiability
Integrability
Numerical aspects
Taylor, Fourier series
Mathematical Beginners Courses
for Engineers II
16. Linear ordinary differential equations -
systems
Eigenvalues, Jordan …
Continuity in R^n
Curves
Differentiability in several variables
Integrability in several variables
Vectoranalysis: Theorems of Gauß and Stokes
Mathematical Beginners Courses
for Engineers III
17. Part 1: Fourier/Laplace transform, Complex
analysis
Part 2: Ordinary differential equation
(existence, uniqueness …), numerical
methods
Mathematical Beginners Courses
for Engineers IV
18. Approx. 1000 pages of manuscript (including
exercises and hints for solutions)
Maple etc.
Mathematical Beginners Courses
for Engineers: Support
19. Computational Electromagnetics I
Structure of Maxwell’s equations: de Rham complex.
Spatial discretization: cell / finite integration method.
Computational Electromagnetics II
Finite element methods: Whitney forms.
Modelling techniques: time and frequency-domain.
Methods of Model-Order Reduction
Balanced truncation.
Moment-matching.
Mathematical Courses – Chair of
Electromagnetic Theory (Prof. Edlinger)
20. Systems Theory and Control Eng. I - III
o.d.e., linear algebra, polynomial matrices.
Systems Theory and Control Eng. IV
p.d.e., operational calculus, special functions, power
series, method of characteristics.
Systems Theory and Control Eng. V
differential geometry, nonlinear dynamics, calculus of
variations, module theory …
Courses – Chair of Systems Theory and
Control Engineering (Prof. Rudolph)
21. BSc+ MINT (STEM) (4 years)
Idea: Close the “gap” between school and
university
Main point: How to start research by myself
(structures of learning, understanding …)
Avoid failures in studying MINT (STEM).
New Developments in
Bologna Process
22. Universal knowledge in MINT (STEM) topics
Beginners courses in physical, chemical,
engineering and computer sciences in the
first year
Central course: Mathematics
Particular Bachelor courses after the first year
New Developments in
Bologna Process
23. Additional excercises (“Präsenzübungen”)
during the first year (including additional CP)
Supported by “Stifterverband für die
Deutsche Wissenschaft” and “Heinz Nixdorf
Stifung”
New Developments in
Bologna Process