Course unit code:
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:
Recommended semester:
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Level of study:
Prerequisites for registration:
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:

A 43.1 %

B 37.3 %

C 13.7 %

D 2.9 %

E 3 %

FX 0 %

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

Department of Information Engineering and Process Control

AIS: 2017/2018  

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