eventThink Mathematically, Act Algorithmically: Optimization Techniques (Complementary Studies) [Think Mathematically, Act Algorithmically: Optimization Techniques (Complementary Studies)] (S)
person Paolo Mercorelli

Next appointment: Tomorrow at 08:15

Dates

weekly | Wednesday | 08:15 - 09:45 | 06.04.2026 - 10.07.2026 | C 40.106 Konrad-Zuse-Raum | C 40.106 Konrad-Zuse-Raum

Curriculum context

Combined academic performance
Written Report (75%)
Oral Presentation (25%)
Date of assessment: Wednesday, 30.09.2026
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
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Organizational information

Seminar
Full presence
2
central procedure for assignment of remaining places (with participant limit)
25

Registration

central procedure for assignment of remaining places (with participant limit)

Registration ends 07.4.2026 at 23:59 h

Persons

Content

Englisch
Think Mathematically, Act Algorithmically: Optimization Techniques (Complementary Studies)
none

MATLAB is a platform for scientific calculation and high-level programming which uses an interactive environment that allows to conduct complex calculation tasks more efficiently than with traditional languages, such as C, C++ and FORTRAN. It is the one of the most popular platforms currently used in the sciences and engineering. Optimization techniques can be applied in a wide interdisciplinary range of applications in control, estimation and identification problems. Using Matlab, the course embraces the most important optimization techniques and methods which can be used in control systems. The proposed techniques, e.g. Model Predictive Control, Two Point Boundary Optimization Problem, etc. are implemented using Matlab/Simulink. Through discussions on the mathematical origin of the proposed techniques and methods and their inspiring ideas the students should reach, not only a good command on the software, but also a critical spirit to interpret the nature of the algorithms and to reflect on their foundations and structures.

The goal is to stimulate the reflection on the proposed methods and to offer an analytical and critical point of view in the field of the optimization also for students with less knowledge on this topic.

Starting from July, at the end of the course, further office hours and workshops are offered to assist students at any level to revise projects and to answer question related to the course or projects connected with the topic of this course

Evaluation

An evaluation was registered for this course

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html

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