After successful completion of the course, students are able to select and apply fundamental methods of scientific computing and to judge the challenges regarding computing time and implementation effort. Furthermore, the students have solution skills for inter-disciplinery problems, are able to evaluate and analyze computational approaches, and are able to scientifically formulate and extensively analyze compute-intensive problems as well as to develop appropriate approaches. 

• Distributed Parallel Computing
• Molecular Dynamics
• Methods for Ordinary Differential Equations
• Classification and Analyses of Partial Differential Equations
• Time Discretization
• Finite Volume Method
• Finite Element Method

Lectures, exercises and discussion of case studies

Important information regarding the coronavirus outbreak:

Until further notice this course is being held as a distance learning course. This means that on the day of a scheduled lecture (see course dates) the lecture will be put online in TUWEL as a narrated video. As soon as classroom teaching is resumed (monitor the developments: www.tuwien.at/corona) the course will be held as planned in the seminar room (see course dates). Regarding the exercises, additional information will be made available in the lectures.

Exercises hand-in, a minimum threshold is required to be eligible for the final examination at the end of the term

The available slots will be selected according to the Curriculum Section 11 "Lehrveranstaltungskapazitäten".