Research Seminar: Recent Advances in Operations Research and Machine Learning
Forschungsseminar: Aktuelle Entwicklungen im Operations Research und im Maschinellen Lernen
6 LPWiSeEN
Voraussetzungen
Zwingend, im Wortlaut
no successful participation in module • 14060 Research Module in Artificial Intelligence
Empfohlen, im Wortlaut
• Basic knowledge of optimization, algorithms and discrete mathematics; familiarity with machine learning or AI; at least one programming language • Knowledge of the content of one of the modules • 14495 Optimization in Business Transformation OR • 14731 Combining Operations Research and Data Science
Inhalte
• Basics of approaches in Combinatorial Optimization, operations research, and machine learning • Research methods in Combinatorial Optimization, operations research, and machine learning • Scientific paper reading and analysis • Problem formulation and literature positioning • Algorithmic ideas, proofs, and experiment evaluation • Research proposal development
Lernziele
After completing the modul students are be able to: • Read and critically analyze research papers in Combinatorial Optimization, Operations Research, and Machine Learning • Explain problem formulations, assumptions, and contributions clearly • Evaluate strengths and limitations of approaches in papers • Present technical content in a structured way • Formulate, propose and justify potential research extensions or new ideas • Participate in scientific discussion • Getting prepared for Master’s thesis
Prüfungsleistung
• 3 paper presentations: , each 15 min. and includes 8-15 slides (50%) • 2 summaries, 1500-2000 words (20%) • Final implementation (algorithm development (a detailed pseudocode) and a running code with no errors that produces solutions/results. (30%) • Bonus: Active participation and discussion - up to 10 % (is added to your final score only if you pass the course)
Literatur (3)
- Introduction to Operations Research, Hillier, F. S. & Lieberman, G. J.
- Dynamic Programming and Optimal Control, Bertsekas, D. P.
- further materials via Moodle (will be announced during the first week of the semester)
Bemerkungen
Module with limited number of participants - Registration two weeks prior to the commencement of lectures!
Quelle: Modulbeschreibung der BTU · abgerufen 29.09.2026Original