Class participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory.

Class participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory.

Class participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory.

The course covers the fundamental concepts of computer programming and gives a short overview of object oriented program design.Specific topics include: computers, programming languages and compilers, data types, type conversion, expressions, language constructs, arrays, pointers, references, functions, scope, modular programming, files, classes, inheritance, polymorphism

Introduction to basic problem solving methods, algorithms, and data structures. Topics: divide and conquer, recursion, sorting algorithms, backtracking, game tree search, data structures (lists, stacks, queues, binary trees), discrete simulation, concurrency. In the assignments and exercises, the programming language Java is used.

The class offers a systematic approach to the creation of differential equation models of physical processes. Object-oriented modeling. Symbolic conversion of DAE models to ODE form. Bond graphs. Applications in: electrical circuits, mechanical systems, thermodynamics, chemical reactions.

Continuous and discrete time linear system theory, state space methods, frequency domain methods, controllability, observability, stability.