Forschungsseminar: Aktuelle Entwicklungen im Operations Research und im Maschinellen Lernen

• 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

• 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)

• 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)

Module with limited number of participants - Registration two weeks prior to the commencement of lectures!

Bewertungen von Studierenden

Was Studierende über dieses Modul sagen. Die BTU hat damit nichts zu tun — hier schreiben nur Studierende, und jede Bewertung ist die Meinung einer einzelnen Person.