Global Optimization 420-IS2-1OG-22
Course profile: general
Form of study: full-time
Course type: obligatory
Field and discipline of science: natural sciences, computer science
Year/semester of study: 1 / 1
Prerequisites (sequential system of courses and exams): none
Lecture: 15 Laboratory classes: 30
Teaching methods: lectures, laboratory exercises
ECTS credits: 4
Balance of student workload:
Class attendance:
- lecture 15h
- laboratory classes 30h
Course preparation:
- laboratory classes 13h
Literature study: 10h
Reports, project tasks performed at home: 14h
Preparation for the assessment: 5h
Assessment duration: 2h
Individual consultation with the teacher: 15h
Student workload:
With direct interaction with the teacher: 62h, 2.4 ECTS
Without direct interaction with the teacher: 40h, 1.6 ECTS
Type of course
Prerequisites (description)
Course coordinators
Learning outcomes
1. The student knows the main types of methods of Global Optimization. KP7_WG9, KP7_WK1
2. The student knows the working principles of selected algorithms of Global Optimization. KP7_WG9
3. The student knows applications of the algorithms of Global Optimization. KP7_WG9, KP7_WK1
4. The student can implement the genetic algorithm for the optimization of the function. KP7_UW1, KP7_UW9, KP7_UW11, KP7_UW12
5. The student can solve the problem using the selected method of Global Optimization. KP7_UW1, KP7_UW9, KP7_UW11, KP7_UW12
6. The student can think and act in a creative way. KP7_UO4
8. The student can work in a team. KP7_UO2
Assessment criteria
The general form of assessment: written test
In the case of distance learning, the assessment will be proceed using the tools available on the eduportal platform or using USOS mail.
Bibliography
Z. Michalewicz: Genetic Algorithms + Data Structures = Evolution Programs, WNT, Springer, Berlin 1996 (https://link.springer.com/book/10.1007%2F978-3-662-03315-9)
J. Dréo, P. Siarry, A. Pétrowski, E. Taillard, Metaheuristics for Hard Optimization, Springer, Berlin 2006 (https://link.springer.com/book/10.1007%2F3-540-30966-7)
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: