Master meeting for Computational Science: 17 November 2016

Have you decided on which Master programme to study? Would you like more information on the contents and teaching methods at USI? Register at our Master Meetings to attend courses.
The various Master Meetings offer you the opportunity to follow lectures together with the current master students. Guided by a USI student, you can visit the campus and make up your mind as to whether the contents correspond to your study ambitions.

Please find here below the entire programme.

Registration is compulsory. Please register online!

Meet us 17 November 2016, here the complete programme:

Informatics Building, (see the campus map

Computational Biology and Drug Design 
Vittorio Limongelli

The course provides knowledge to deal with calculations of biological interest. Principles of biology and chemistry are delivered together with a deep understanding of the methods used to compute chemico/physical properties of molecules such as organic and peptidic ligands, proteins and nucleic acids. Standard and advanced computational techniques are described in details and many applications are illustrated. Ligand/protein docking, virtual screening, homology modelling, molecular dynamics, free-energy calculations are some examples. Great attention is dedicated to the application of these methods in drug design through rational approaches and more automated protocols.

Informatics Building, (see the campus map)

Numerical Algorithms
Kai Hormann

This course is about the key numerical algorithms that you should really want to know about. How do TrueType fonts work? What is the secret of Google's success? Why is JPEG compression so efficient? The answers to these questions are clever numerical algorithms, based on B├ęzier curves, eigenvalues, and the discrete cosine transformation, respectively. We will be able to understand and discuss them once we have gone through some preliminary basics, including Newton's method for finding roots, polynomial interpolation, direct and iterative methods for solving linear systems of equations, and Gaussian quadrature. This course refreshes your basic math skills in calculus and linear algebra and shows how to utilize them for solving several real-world problems, like the ones mentioned earlier. We also provide references to the history of these solutions, going back to Newton, Leibniz, Euler, Gauss and others.

Informatics Building, (see the campus map)

Deterministic Methods 
Olga Kaiser

The course is dedicated to the introduction of the basic concepts necessary for understanding and high performance implementation of deterministic computational algorithms in the area of scientific computing. Concepts, methods and algorithms are always first motivated by application examples from different areas (e.g., robotics/mechanics, data compression, insurance/banking). The recurrent theme of the course is built upon the concept, that all computational problems and algorithms can be described from the common optimisational perspective; also the necessary physics background is introduced. Relation is established to the concepts from partial differential equations from other courses of AMCS Master in the first semester.


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