The chemical handling learned in previous practical should be applied on multi-step syntheses of a given research project using new techniques. The results will be presented and discussed in a seminar.

Experiments on the methodology and application of spectroscopy in the following areas: NMR spectroscopy, ESR spectroscopy, holography, single molecule detection and spectroscopy, UV/VIS absorption spectroscopy, high resolution IR spectroscopy, carbon dioxide laser and IR multi photon excitation, time resolved bi-molecular kinetics, near-infrared spectroscopy, cavity ring-down spectroscopy.

Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc).

An organic-synthetic sub-project of the current research of a group from the Laboratory of Organic Chemistry is carried out under the guidance of doctoral students.

This course gives a comprehensive introduction into the numerical treatment of elliptic boundary value problems and parabolic evolution problems. Emphasis is on theory and the foundations of numerical methods.Practical exercises include MATLAB and python implementations of finite difference methods, finite element methods and time integration schemes.

This course treats numerical methods for hyperbolic initial-boundary value problems, ranging from wave equations to the equations of gas dynamics. The principal methods discussed in the course are finite volume methods, including TVD, ENO and WENO schemes. Exercises involve implementation of numerical methods in MATLAB.

Derivation, properties, and implementation of fundamental numerical methods for a few key partial differential equations: convection-diffusion, heat equation, wave equation, conservation laws. Implementation in C++ based on a finite element library.

Methods for the numerical solution of partial differential equations of elliptic, parabolic and hyperbolic type. Finite Element, Finite Difference and Finite Volume Methods. A-priori and a-posteriori error estimation. MATLAB implementation in one and two spatial dimensions.

This course provides an in-depth theoretical treatment of optimization methods that are relevant in data science.

The course focuses on the connection between particle physics theory and experimental results to provide a comprehensive modern view of the Standard Model. The covered topics are quantum electrodynamics (QED) and quantum chromodynamics (QCD).

The concepts and computational techniques acquired in the context of QED and QCD (during the Phenomenology of Particle Physics I course) will be applied and expanded to the weak interaction and electroweak theory. Spontaneous symmetry breaking and the Higgs mechanism will also be introduced completing the description of the Standard Model of particle physics.

We study the history of our universe on large scales. We first discuss key cosmological observations that led to our standard model of cosmology, and we study in detail the origin and the evolution of the Universe such as inflation, big bang nucleosynthesis, and cosmic microwave background anisotropies. In the second part we learn (relativistic) perturbation theory ...

Practical introduction to important experimental methods in physical and analytical chemistry.

Concepts and tools in physics: mechanics of point-like and rigid bodies, elasticity theory, elements of hydrostatics and hydrodynamics, periodic motion and mechanical waves.The "way of thinking" and the methodology in Physics. Magnetism, Refraction and Diffraction of Waves, Elements of Quantum Mechanics with applications to Spectroscopy, Thermodynamics, Phase Transitions, Transport Phenomena.