Course: Advanced Optimization Techniques

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Course title Advanced Optimization Techniques
Course code KMA/PMOPT
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Burkotová Jana, Mgr. Ph.D.
  • Machalová Jitka, doc. RNDr. Ph.D., MBA
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • A. Ben-Tal, L. El Ghaoui, A. Nemirovski. (2009). Robust Optimization. Princeton University Press.
  • F. Archetti. (2019). Bayesian optimization and data science. Springer.
  • J. R. Birge, F. Louveaux. (2011). Introduction to Stochastic Programming. Springer, New York.
  • K. Deb. (2008). Multi-Objective Optimization Using Evolutionary Algorithms. Wiley.
  • K. Miettinen. (1998). Nonlinear Multiobjective Optimization. Springer.
  • M. J. Kochenderfer, T. A. Wheeler. (2019). Algorithms for Optimization. Cambridge, MIT Press.
  • S. Theodoridis. (2020). Machine Learning: A Bayesian and Optimization Perspective. Academic Press.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics (2023) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Mathematics (2023) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): General Physics and Mathematical Physics (2019) Category: Physics courses 2 Recommended year of study:2, Recommended semester: Winter