Course unit code:

N422O3_4B

Course unit title:

Optimization

Mode of delivery, planned learning activities and teaching methods:

lecture – 2 hours weekly (on-site method)
laboratory practice – 2 hours weekly (on-site method)

Credits allocated:

5

Recommended semester:

Automation, Information Engineering and Management in Chemistry and Food Industry – bachelor (full-time, attendance method), 5. semester

Level of study:

1.

Prerequisites for registration:

none

Assesment methods:

Entry tests at each exercise, 2 intermediate tests, written exam

Learning outcomes of the course unit:

The main aim of this course is to give basic knowledge about optimization methods.

Course contents:

Unconstrained optimization methods, Constrained optimization methods, Linear Programming, Quadratic Programming, Dynamic Programming, Advanced Optimization Methods

Language of instruction:

Slovak, English

Assessed students in total:

94

A 24.5 %

B 11.7 %

C 33 %

D 20.2 %

E 9.6 %

FX 1 %

Name of lecturer(s):

M. Horváthová (2023/2024 – Winter)
M. Horváthová, M. Kvasnica (2022/2023 – Winter)
M. Horváthová, M. Kvasnica (2020/2021 – Winter)
M. Horváthová, M. Klaučo (2019/2020 – Winter)
M. Klaučo, M. Kvasnica (2018/2019 – Winter)
P. Bakaráč, M. Klaučo, M. Kvasnica (2017/2018 – Winter)
M. Klaučo, M. Kvasnica, D. Pakšiová (2016/2017 – Winter)

Course supervisor:

prof. Ing. Michal Kvasnica, PhD.

Last modification:

19. 9. 2019

AIS: 2021/2022   2019/2020   2018/2019   2017/2018