In this course we study the basics of theoretical statistics. The course includes methods for designing estimators, confidenceintervals and tests, and various ways to evaluate the accuracy ofestimators, confidence intervals and tests. We consider optimality criteria such as admissibility and minimaxity, as well asBayesian criteria. We will also present the asymptotic point of view.

Individually and independently, students address a practice-related problem in the area of future transport systems. To do this they deploy, under the supervision of an expert, what they have learned in the MAS programme. They set out the problem, the procedure and the solution in a written report which they present and defend in front of a specialist audience.

Within the framework of their master thesis, students independently reflect on and discuss a research topic of their own choice.

The master's thesis concludes the course. It shows the ability of the students to do independent design work and is proof of the successful completion of their studies. It is under the direction of professors from D-ARCH.The processing time for the master's thesis is fourteen weeks.

The Master Programme concludes with the Master Thesis, which has to be done in one of the chosen specialisations and has to be completed within 18 weeks. The Master Thesis is supervised by a professor and shall attest the students ability to work independently and to produce scientifically structured work.

The Master Programme concludes with the Master Thesis, which has to be done in one of the chosen Majors and has to be completed within 28 weeks. The Master Thesis is supervised by a professor and shall attest the students ability to work independently and to produce scientifically structured work.

The Master's thesis gives a thorough historical, philological or philosophical analysis of a topic related to the experimental or formal sciences or to technology. It incorporates the relevant research literature on this topic as well as first attempts at original research.

The Master's thesis is supervised by a design professor D-ARCH. The students can choose one of the topics presented by the D-ARCHor - after approval by the head of the work - a free, self-chosen topic. Further details are regulated in Articles 31 - 38.

Master's programs are concluded by the master's thesis. The thesis is aimed at enhancing the student's capability to work independently toward the solution of a theoretical or applied problem. The subject of the master's thesis, as well as the project plan and roadmap, are proposed by the tutor and further elaborated with the student.

The Master Programme concludes with the Master Thesis, which has to be done in one of the chosen Majors and has to be completed within 16 weeks. The Master Thesis is supervised by a professor and shall attest the students ability to work independently and to produce scientifically structured work.

The Master Programme concludes with the Master Thesis, which has to be done in one of the chosen Majors and has to be completed within 16 weeks. The Master Thesis is supervised by a professor and shall attest the students ability to work independently and to produce scientifically structured work.

The Master Programme concludes with the Master Thesis, which has to be done in one of the chosen Majors and has to be completed within 16 weeks. The Master Thesis is supervised by a professor and shall attest the students ability to work independently and to produce scientifically structured work.

The Master Programme concludes with the Master Thesis, which has to be done in one of the chosen Majors and has to be completed within 16 weeks. The Master Thesis is supervised by a professor and shall attest the students ability to work independently and to produce scientifically structured work.

In the Master thesis students prove their ability to independent, structured and scientific working. The master's thesis is supervised by the tutor and is performed within a private company.

Advanced course on mathematical finance:- semimartingales and general stochastic integration- absence of arbitrage and martingale measures- fundamental theorem of asset pricing- option pricing and hedging- hedging duality- optimal investment problems- additional topics

Mathematics I covers mathematical concepts and techniques necessary to model, solve and discuss scientific problems - notably through ordinary differential equations.The main focus of Mathematics II is multivariable calculus.

Mechanics of Elastic Media and Hydrodynamics: Strain and stress tensor, field equations, equilibrium, waves and oscillations. Dynamics of fluids, Euler and Navier-Stokes equations, Bernoulli equation, vortices, waves, potential flows; viscous fluids, Reynolds number, Stokes drag, boundary layers, instabilities.

Mechanics of Elastic Media and Hydrodynamics: Strain and stress tensor, field equations, equilibrium, waves and oscillations. Dynamics of fluids, Euler and Navier-Stokes equations, Bernoulli equation, vortices, waves, potential flows; viscous fluids, Reynolds number, Stokes drag, boundary layers, instabilities.