Course unit code:

422O1_4I

Course unit title:

Optimisation of Processes and Plants

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 and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 1. semester

Level of study:

2.

Prerequisites for registration:

none

Assesment methods:

Elaborates and tests

Learning outcomes of the course unit:

The main aim of this course is to give basic knowledge about optimization of processes and plants.Process (Plant) optimization is the discipline of adjusting a process (plant)so as to optimize some specified set of parameters. The most common goals are minimizing cost, maximizing throughput, and/or efficiency.

Course contents:

1.	Application of optimization methods to solve problems in the optimization of process control. (allowance 8/8)
2.	Optimization methods of one-variable functions. Optimization methods for functions of several variables. (allowance 8/8)
3.	Optimization methods without restrictive conditions optimization methods with restrictive conditions. Non-gradient optimization method - simplex method. Gradient method. Evolution algorithms. (allowance 10/10)

Language of instruction:

Slovak, English

Assessed students in total:

113

A 46 %

B 35.4 %

C 12.4 %

D 3.5 %

E 2.7 %

FX 0 %

Name of lecturer(s):

K. Fedorová, M. Kvasnica (2022/2023 – Winter)
K. Fedorová, R. Kohút, M. Kvasnica, C. E. Valero (2021/2022 – Winter)
K. Fedorová, M. Klaučo, M. Kvasnica (2020/2021 – Winter)
M. Horváthová, M. Kvasnica (2019/2020 – Winter)
M. Klaučo, M. Kvasnica (2018/2019 – Winter)
M. Klaučo, M. Kvasnica (2017/2018 – Winter)
M. Klaučo, M. Kvasnica (2016/2017 – Winter)
D. Ingole, M. Kvasnica (2015/2016 – Winter)

Course supervisor:

prof. Ing. Michal Kvasnica, PhD.

Last modification:

19. 9. 2019

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