Incoming Exchange Students

Welcome to Darmstadt!

We are happy that you have decided to spend a semester abroad at our department! On this page you will find all the important information about studying with us. And if you have any questions, please feel free to contact us at any time!


  Name Working area(s) Contact
Lukas Roth, Nathalie Becker Auslandsbeauftragte
S215 233
Office for Student Affairs
S2|15 243

Consultation hours

Our drop-in consultation hours are on Wednesdays from 10 a.m. to 12 a.m. via Zoom. For access data please click on the link below.

Zoom access data

Exchange students list their course choices in the Learning Agreement and have it signed by the home and host institutions.

The of the department in which you are enrolled are usually responsible for signing the Learning Agreements and for the course selection at TU Darmstadt.

Please send us your completed Learning Agreement before the start of the lecture period () or use the online Learning Agreement.

We recommend that you discuss your choice of courses with us before we sign the Learning Agreement, but at the latest before the start of the lecture period. This can also clarify any questions you may have about our courses. Simply write to us or visit our consultation hour.

Below you will find a list of the English taught courses that we recommend for exchange students.

Please note that proseminars and seminars are not graded. Should you nevertheless require a grade, please contact the lecturer directly in the first lesson unit.

Please contact us if you wish to take courses in other departments.

For the list of German taught courses please visit the German translation of this page.

Course Level CP Graded? Description
Lineare Algebra 2 B.Sc. 2. Semester 9 yes Eigenvalues and Diagonalisation of Endomorphisms; characteristic Polynom and minimal polynom in the Polynomring of one Variable, Jordan-Normalform; Euklidic and unitary Vector spaces; Bilinear forms, quadratic forms;
Algorithmic Discrete Mathematics B.Sc. 4. Semester 5 yes Graph theorie, asymptotic complexity, algorithms to spanning trees, shortest paths, Matchings in bipartit graphs und flows in directet graphs, NP-Completness
Seminar B.Sc./M.Sc. 5 no You must prepare a talk to a specific subject, that will be announced at the beginning of the semester
Sobolev Spaces B.Sc./M.Sc. 5 yes Construction of Sobolev-Spaces, Embedding- und Trace theorems, application to Partial Differential Equations
Applied Proof
M.Sc. 2. Semester 9 yes Herbrand-Theorie, Kreisels no-counterexample Interpretation, Gödels Functional Interpretation, monotone Interpretations
Discrete Optimization M.Sc. 2. Semester 9 yes Modelling: integer systems of equations and inequalities; Theory: integer Programms, Polyedric Combinatoric;
Methods: Exact methods, Approximation algorithms, Heuristics, Relaxiation, Decomposition methods
Course Level CP Graded? Description
Lineare Algebra 1 B.Sc. 1. Semester 9 yes algebraic structures (Groups, Rings, Fields); Vectorspaces, linear dependency, Bases, Dimension; linear and affine Subspaces, Products, Sums, Quotients, dual space; linear maps and Matrices; linear systems of equations; Determinants
Complex Analysis B.Sc. 3. Semester 5 yes Cauchy-Riemann Differential Equations; curve integral; Cauchy´s integral theorem/formula; power series; Liouville´s theorem; Laurentseries; Residue theorem
Proseminar B.Sc. 3. Semester 3 no You must prepare a talk to a specific subject, that will be announced at the begining of the semester
Seminar B.Sc./M.Sc. 5 no You must prepare a talk to a specific subject, that will be announced at the begining of the semester
Introduction to Mathematical Logic B.Sc. 5. Semester 9 yes Syntax and semantics of first level logic; formal proofs; Completeness; Compactness theorem; elementary recursion theory; Undecidability and Incompleteness
Probability Theory B.Sc. 5. Semester 9 yes Measure theory basics, Random variables, types of convergence, characteristic functions, independence, conditional expectation, martingales, limit theorems
Nonlinear Optimization M.Sc. 1. Semester 9 yes Modelling practical questions as Optimizationproblems; Optimality conditions, Duality theorie; methods for Problems without constraints: Linesearch-and Trust-Region-methods; methods for Problems with constraints: Penalty-, Inner-Point- and SQP-methods
Numerical Methods for PDEs M.Sc. 1. Semester 9 yes Examples of partial differential equations from practice; Elliptical problems; Galerkina approximation, finite element methods, error analysis; Parabolic problems; Semi and full discretization using Method of lines

To see the courses of the last years, please visit the page course planning.

Your first contact persons are your buddies, who you can reach as quickly as possible via Whatsapp or email. If the buddies are unable to help you, they will be able to tell you who to contact.

We have compiled a list of further contacts for you here:

Questions about studying at our department

Please contact your or you teachers directly.

Questions about TUCaN and examinations

For questions about TUCaN as well as course and exam (de-)registration, please contact the Office for Student Affairs. For questions about exams themselves, please turn to your lecturers.

Questions about your stay

International Office: General Questions

International Student Service: Questions about visa, finances, living etc.

For new international students we offer the participation in the department's Buddy programme. This programme was established to help international students in exchange programmes or in the Master of Science Mathematics to get started at our department and at the TU Darmstadt.

We invite all international students to participate in the buddy programme. We will contact you in good time before the start of your studies to introduce ourselves and what we have to offer.