LFU:online

By the end of the course, students will be equipped to apply optimization strategies to practical scenarios, such as managing distributed systems (including cloud and edge resources). They will develop the skills to optimize task scheduling and resource allocation, enhancing performance across critical metrics such as time, cost, energy efficiency, and reliability.

This course offers computational optimization methods for complex problems, using distributed systems as a practical use case. It covers exact and approximate optimization techniques, including heuristics, metaheuristics, greedy search, evolutionary algorithms, swarm intelligence, and multi-objective optimization, with hands-on applications using optimization frameworks and libraries such as CPLEX, Gurobi, OR-Tools, Pyomo, and DEAP.

Allocation of places in courses with a limited number of participants (PS, SE, VU, PJ)

In courses with a limited number of participants, course places are allocated as follows:

1. Students for whom the study duration would be extended due to the postponement are to be given priority.

2. If the criteria in no. 1 do not suffice, first, students for whom this course is part of a compulsory module are to be given priority, and second, students for whom this course is part of an elective module.

3. If the criteria in no. 1 and 2 do not suffice, the available places are drawn by random.

Curriculum BA Computer Science 2019

Curriculum MA Computer Science 2021