Allgemeine Informationen
| Veranstaltungsname | Vorlesung + Übung: Optimization Tools in AI |
| Veranstaltungsnummer | S 0705 |
| Semester | SS 2026 |
| Aktuelle Anzahl der Teilnehmenden | 0 |
| Heimat-Einrichtung | Institut für Mathematik |
| Veranstaltungstyp | Vorlesung + Übung in der Kategorie Lehre |
| Nächster Termin | Montag, 13.04.2026 15:00 - 17:00, Ort: (B7-308 Übungsraum 308) |
| Voraussetzungen |
Grundlagen Lineare Algebra und Analysis Einführung Optimierung |
| Lernorganisation | Students systematically deepen and supplement their existing basic knowledge of applied mathematics with problems and solution methods in the field of artificial intelligence (AI). They learn about models, algorithms, and implementation techniques for solving optimization problems of various complexity classes that can be directly understood as “AI” or constitute an essential component of widely used AI methods. They are familiar with the recognition and classification of such problems and have the ability to apply advanced mathematical results in effective algorithms to solve practical problems related to AI and beyond. |
| Leistungsnachweis | Written exam (90-120 minutes) or oral exam (20-30 minutes); Hausübungen |
| SWS | 4 |
