Master study program: Automation and Information Engineering in Chemistry and Food Industry
Study form: presence
Length of study: 2 years
Academic title: Ing.
Study field: Cybernetics
Engineering study follows bachelor study. It is finished by defence of diploma work and state examination. Faculty does not open external study in 2021/2022.
Graduate profile
A graduate of the master study program Automation and Information Engineering in Chemistry and Food Industry at FCFT STU represents a highly qualified expert with unique knowledge and skills reflecting modern trends in control, automation, optimization, modeling in the process industry, informatization and digitization. During the study, the student engages in innovative project solutions to real technical problems, while gaining advanced knowledge and experience in the field of soft skills (management and work planning, technical communication, presentation of results, work with supporting software). He/she acquires the preconditions for independent and creative work in technological innovations and next-gen solutions. He will also gain invaluable contacts with industry practice and employers. The result is a highly sought-after graduate of the 2nd degree of study with applicability on the global labor market.
Knowledge
- has advanced knowledge of the theory of automatic control, can design feedback control of one-dimensional and multidimensional continuous and discrete systems in the state and input-output domain
- has advanced knowledge of managing specific unit processes in chemistry and food technology
- can formulate the problem of optimal control, including different types of objective functions and constraints, based on various practical problems in industrial practice
- knows the concept of prediction based on a dynamic model and its role in systems control
- knows the basic types of uncertainties and can analyze the robust stability of systems with structured uncertainties
- masters the basics of modeling and control of fuzzy systems
- masters the principles of creating mathematical models of complex processes in the process industry, namely continuous processes with distributed parameters, continuous and batch processes
- can formulate and mathematically describe material and energy balances for processes with heat transfer, processes with chemical reaction, processes with mass transfer
- can mathematically describe the kinetics of chemical reactions, heat transfer, mass transfer
- can create a dynamic mathematical model of a process in the nonlinear state-space form, the linear state-space form, in the form of partial differential equations or in a form of set of ordinary differential equations
- has knowledge of the basics of system identification and data science
- can estimate process parameters from experimental input-output data based on transient and frequency characteristics, apply regression methods and their recursive variants
- has knowledge of the components of automated control systems
- knows the types and principle of operation of sensors and actuators and knows which sensors and actuators are suitable for which applications and what conditions
- masters basic information standards: flowcharts for the description of processes and algorithms; process diagrams (PFD, P&ID, LD, SAMA) for description of components and instruments of process productions
- has a basic overview of the operation of distributed control systems, SCADA systems, and advanced programming skills of Siemens SIMATIC logic controllers, design and implementation of control algorithms for industrial applications, as well as the design of operator process screens
- has knowledge of the basic principles of industrial processes of distillation, extraction, absorption, air treatment and drying and the use of knowledge from balancing, thermodynamics of multiphase systems and the theory of material transfer for the calculation of separation of simple mixtures
- can conduct the material and energy balance of these processes and design the basic parameters of simple distillation, absorption and extraction equipment
- has knowledge of the properties of the air - water vapor system and can design air conditioning processes for its application in the drying process
- masters the working principles of numerical optimization methods based on gradients and Hess matrices
- can formulate engineering optimization tasks in terms of objective function and constraints. Masters the principles of choosing the most appropriate algorithm to solve a specific task
- understands the principles of deterministic and stochastic optimization algorithms, their main advantages and weaknesses
- has knowledge of the preparation of scientific types of documents, both WYSIWYG and transformation type
- masters the basics of solving difference equations, functional analysis and variational calculus
- can search for extremals of functionals and apply the acquired knowledge in control theory
- speaks technical and professional English
Skills
- can solve practical problems of industrial automation of chemical and food industry in its whole complex structure
- can apply modeling techniques and control theory to processes in chemistry and food technology, such as storage tanks, heat exchangers, chemical reactors or rectification columns
- has the ability to work in a team to design solutions, manage tasks and work together to solve problems
- can use a combination of his/her theoretical knowledge and practical skills from various subjects of engineering studies focused on the design and implementation of process control in industrial conditions
- can apply optimization and predictive control in the chemical, biotechnology and food industries
- can work with web programming languages and databases
- masters the tools used to manage source code versions, gained knowledge of decentralized architecture, GIT tool, advanced file processing and management
- masters the basics of data science tools
- can use Matlab, Yalmip and optimization solvers for automatic control, modeling and identification tasks
- knows the use of programmable logic controllers (PLC) and can design programs for control systems
- has practical skills in electrical engineering for automation and can electrically connect and configure sensors, actuators, PLCs, convert / modify signals, and diagnose faults
- can apply HMI design rules to ensure high operator performance and operational safety
- masters the LaTeX document processing tool, can batch generate various presentation and print output formats from it
- can apply in practice the theoretical and methodological knowledge acquired during his/her university studies
- has verified his/her knowledge and professional orientation. He/she knows the possibilities of his/her career prospects in practice
- can process bibliographic information, cite literary sources
Competences
- is independent in solving professional tasks, projects and in coordination of partial activities
- is able to independently and creatively solve complex projects, with regard to its professional focus, can think analytically, present his/her own opinions and solutions to new and non-standard situations and understand the current state of technology
- is ready to work effectively in a team, cooperate and motivate people, take responsibility for team results
- can plan his/her own education, organize his/her work and acquire new knowledge independently
- can independently determine the time plan for the solution of the project so as to minimize the cost component and comply with the time schedule of the employer respectively customer by applying modern approaches to working time planning also with regard to other members of the work team
- is characterized by the ability to identify, quantify and evaluate the impact of problem solving on the social and environmental field
- can appropriately and professionally present their his/her opinions and technical solutions to different types of audiences at different levels of management
Employability
The study program Automation and Information Engineering in Chemistry and Food Industry has, during the 10 years of its existence, educated a number of successful graduates who have established themselves in the commercial and academic domains. For the commercial domain, it is possible to mention, for example, the following graduates: Ing. Barbora Šátková (year of graduation 2006), Ing. Ivana Hercegová (nee Rauová, 2010), Ing. Karol Ľubušký (2014) and Ing. Natália Mikušová (2017), all in Slovnaft a.s., member of the MOL group, Ing. Monika Bučková (Terneuzen; The Netherlands), Ing. Juraj Holaza, PhD. (2012) and Ing. Daniela Képešiová (nee Pakšiová, 2015), both in Honeywell; Czech republic, Ing. Martin Misenko - Volkswagen Slovakia (2017), Ing. Juraj Kukla - Innovatrics (2018), Ing. Bálint Takács, Ph.D. - Vertiv Co (2012), Ing. Jakub Jakabsic (2017), Ing. Jakub Nosko (2019) and Ing. Daniel Boroš (2019) - all in SIEMENS, Ing. Linda Dvorštiaková (nee Hanulová, 2018) - Mondi SCP, and many others. Graduates in the academic and research domains are very successful - let us mention doc. Juraj Oravec, PhD. and Ing. Martin Klaučo, PhD., who are successfully established at the Slovak University of Technology in Bratislava, and especially Ing. Ján Drgoňa, PhD., who currently works at the Pacific Northwest National Laboratory in the USA.
Responsibility for content: doc. Ing. Ľuboš Čirka, PhD.
Last update:
21.07.2021 21:36