LFU:online

Prerequisites for registration: none

Learning Outcome: Students of this module understand the content of the lectures and they can reproduce and apply it. They have acquired the ability to produce similar content by themselves. They can identify optimisation problems in applications and transfer them into a mathematical formula and implement the corresponding algorithms and solution procedures appropriately. Moreover, they should have gained a fundamental understanding of the methods of mathematical optimisation.

Prerequisites for registration: none

Learning Outcome: Students who have completed that module have acquired particular knowledge of one or more branches of higher mathematics. They are able to develop innovative solutions for current problems of those branches of mathematics as well as to judge different approaches critically. As a result they have developed learning strategies that enable them to acquire further mathematical matters autonomously.

Prerequisites for registration: none

Learning Outcome: - Students will be familiar with representative examples of applications of scientific computing in various disciplines as well as the subject-specific software used to process them and will be able to discuss both from the perspectives of the various disciplines. - They have the competence - independently and with original ambition - to elicit meaningful models for selected problems from the practice of scientific computing, to construct suitable simulations and to implement, execute and evaluate them efficiently on suitably selected hardware, and to critically evaluate the results obtained. - They have the skills to visualise simulation data in a professional and descriptive manner and to manage it according to the rules of good scientific practice. They are able to communicate, explain, and discuss findings obtained from simulations, useful visualisations, and prerequisites and limitations of the statements made.

Prerequisites for registration: none

Learning Outcome: - Students will be familiar with representative examples of applications of scientific computing in various disciplines as well as the subject-specific software used to process them and will be able to discuss both from the perspectives of the various disciplines. - They have the competence - independently and with original ambition - to elicit meaningful models for selected problems from the practice of scientific computing, to construct suitable simulations and to implement, execute and evaluate them efficiently on suitably selected hardware, and to critically evaluate the results obtained. - They have the skills to visualise simulation data in a professional and descriptive manner and to manage it according to the rules of good scientific practice. They are able to communicate, explain, and discuss findings obtained from simulations, useful visualisations, and prerequisites and limitations of the statements made.