Course unit code:
Course unit title:
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:
Recommended semester:
Automation, Information Engineering and Management in Chemistry and Food Industry – bachelor (full-time, attendance method), 5. semester
Level of study:
Prerequisites for registration:
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:

A 20.7 %

B 11 %

C 36.6 %

D 20.7 %

E 11 %

FX 0 %

Name of lecturer(s):
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:
doc. Ing. Michal Kvasnica, PhD.
Last modification:
16. 1. 2018

Department of Information Engineering and Process Control

AIS: 2018/2019   2017/2018  

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