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[ 201OPTISP1U22 ] UE Special Topics Optimization
Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B3 - Bachelor's programme 3. year Mathematics Herbert Egger 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Technical Mathematics 2025W
Learning Outcomes
Competences
The students can understand and work on advanced topics in optimization.
Skills Knowledge
  • extend the knowledge aquired in mandatory courses;
  • study new problem classes of current interest;
  • study existence and uniqueness of solutions;
  • assess the stability, accuracy and computational costs of advanced algorithms;
  • implement the proposed methods on a computer and verify their behavior;
Various advanced topics of optimization
Criteria for evaluation
Language English and French
Changing subject? Yes
Earlier variants They also cover the requirements of the curriculum (from - to)
201OPTISP1U12: UE Special Topics optimization (2012W-2022S)
On-site course
Maximum number of participants 25
Assignment procedure Direct assignment