Mini-Course 1 - Operations Research meets Data Science: principles, models and algorithms

Course Instructor: Immanuel M. Bomze - University of Vienna

Course Title: Operations Research meets Data Science: principles, models and algorithms

When:  4-11 November

Aims of the course

Learning goal is acquisition of skills and gaining insight in the field of Operations Research/Quantitative Decision Support/Analytics. Focus is laid upon formal models for implementation in efficient computational procedures for solving problems relevant to real-world applications.

Content(sketch):

Intro: what is Operations/Operational Research (OR) ?
Quantifying problems — variables, constraints, criteria, decisions

LP - the workhorse of optimization
Recap on duality

Graphs, networks, flows
Maxflow/mincut and spanning trees

Discrete problems - more iconic examples
Branch-and-bound, relaxations

Boosting algorithms: gaps and cuts
Exactness: unimodularity

Course Timetable

• 04/11/2025, 16.30 - 18.30, Room: 1BC45
• 05/11/2025, 16.30 - 18.30, Room: 1BC45
• 06/11/2025, 10.30 - 13.30, Room: 2BC30
• 07/11/2025, 10.30 - 12.30, Room: 2BC30
• 10/11/2025, 10.30 - 13.30, Room: 1BC45