Postgraduate Certificate in Decision Support in Industrial Engineering
-- ViewingNowThe Postgraduate Certificate in Decision Support in Industrial Engineering is a course designed to equip learners with essential skills for career advancement in the industrial engineering sector. This program focuses on enhancing decision-making capabilities, a critical aspect of industrial engineering, by integrating mathematical, statistical, and engineering approaches.
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• Advanced Mathematical Modeling: This unit covers the development and application of mathematical models for decision support in industrial engineering. Topics include optimization, linear and integer programming, and stochastic models.
• Data Analysis and Visualization: This unit focuses on the analysis and visualization of large datasets using statistical methods, data mining techniques, and data visualization tools for effective decision making in industrial engineering.
• Simulation and Modeling: This unit covers the use of simulation and modeling techniques to support decision making in industrial engineering, including discrete-event simulation, system dynamics, and agent-based modeling.
• Decision Theory: This unit explores the principles and techniques of decision theory, including decision analysis, decision making under uncertainty, and game theory, and their application in industrial engineering.
• Supply Chain Management: This unit covers the principles and practices of supply chain management, including demand forecasting, inventory management, and logistics, and their role in decision support in industrial engineering.
• Operations Research: This unit focuses on the application of operations research methods and techniques, such as optimization, queuing theory, and simulation, to support decision making in industrial engineering.
• Artificial Intelligence and Machine Learning: This unit covers the principles and applications of artificial intelligence and machine learning techniques, such as neural networks and deep learning, in decision support in industrial engineering.
• Project Management: This unit explores the principles and practices of project management, including project planning, scheduling, and control, and their role in decision support in industrial engineering.
• Quality Management: This unit covers the principles and practices of quality management, including statistical process control, quality improvement methods, and quality management systems, and their application in decision support in industrial engineering.
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