Intelligent Process Control 24 months Postgraduate Programme By KFUPM |TopUniversities
Programme Duration

24 monthsProgramme duration

Main Subject Area

Engineering - GeneralMain Subject Area

Programme overview

Main Subject

Engineering - General

Degree

MSci

Study Level

Masters

Study Mode

On Campus

Process control is the backbone of all industrial systems, from small plants to mega factories. Effectively controlling these processes is key for the success, reliability, and profitability of these industrial systems – a rapidly growing discipline that is highly sought in our expanding industrial infrastructure. This interdisciplinary program enables professionals from several engineering backgrounds to gain advanced knowledge and skills in process data collection and manipulation to extract intelligent information necessary for optimal decision making, including the use of digital twins in enhancing operation and control.

The program provides students with in-depth theoretical and practical knowledge in the development of intelligent process control – an interdisciplinary field that involves numerical disciplines in engineering, computing, and mathematics. The program covers intelligent process control fundamentals (network architecture, smart sensors, control structures, control loops, etc.), simulation of chemical processes (chemical plant modeling, sparse matrices, tearing, simulator construction, etc.), instrumentation and control networks (hierarchy, SCADA, DCS, industrial interfaces, communication protocol, CAN bus, ZigBee networks, etc.), intelligent decision support systems (decision theory, modeling, case-based reasoning, decision trees, knowledge representation, etc.), and optimal process control design (e.g. dynamic programming, reachability, trajectory optimization). The program also covers soft computing for identification (parametric, non-parametric, neural networks, fuzzy-neural models, etc.), cybersecurity of industrial control systems, and applied artificial intelligence in process control (e.g. fuzzy expert systems and hybrid intelligent controllers).

Programme overview

Main Subject

Engineering - General

Degree

MSci

Study Level

Masters

Study Mode

On Campus

Process control is the backbone of all industrial systems, from small plants to mega factories. Effectively controlling these processes is key for the success, reliability, and profitability of these industrial systems – a rapidly growing discipline that is highly sought in our expanding industrial infrastructure. This interdisciplinary program enables professionals from several engineering backgrounds to gain advanced knowledge and skills in process data collection and manipulation to extract intelligent information necessary for optimal decision making, including the use of digital twins in enhancing operation and control.

The program provides students with in-depth theoretical and practical knowledge in the development of intelligent process control – an interdisciplinary field that involves numerical disciplines in engineering, computing, and mathematics. The program covers intelligent process control fundamentals (network architecture, smart sensors, control structures, control loops, etc.), simulation of chemical processes (chemical plant modeling, sparse matrices, tearing, simulator construction, etc.), instrumentation and control networks (hierarchy, SCADA, DCS, industrial interfaces, communication protocol, CAN bus, ZigBee networks, etc.), intelligent decision support systems (decision theory, modeling, case-based reasoning, decision trees, knowledge representation, etc.), and optimal process control design (e.g. dynamic programming, reachability, trajectory optimization). The program also covers soft computing for identification (parametric, non-parametric, neural networks, fuzzy-neural models, etc.), cybersecurity of industrial control systems, and applied artificial intelligence in process control (e.g. fuzzy expert systems and hybrid intelligent controllers).

Admission Requirements

2 Years

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Postgrad Programmes 779