- 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
Department:
Department of Information Engineering and Process Control
AIS: 2021/2022
2019/2020
2018/2019
2017/2018