Postgraduate Certificate in Engineering Operations Research

• Advanced Mathematical Optimization: This unit covers advanced optimization techniques such as linear programming, nonlinear programming, and integer programming. Students will learn to model and solve complex engineering problems using mathematical optimization.
• Stochastic Processes and Simulation: This unit introdues students to stochastic processes and simulation techniques. Topics covered include probability theory, stochastic models, and Monte Carlo simulation. Students will learn to analyze and solve problems that involve uncertainty and randomness.
• Data Analysis and Decision Making: This unit covers data analysis techniques and decision-making methods used in engineering operations research. Topics include statistical analysis, hypothesis testing, decision theory, and game theory. Students will learn to make informed decisions based on data and mathematical models.
• Optimization Algorithms and Software: This unit focuses on optimization algorithms and software used in engineering operations research. Topics include gradient-based methods, evolutionary algorithms, and optimization software packages. Students will learn to use optimization algorithms and software to solve complex engineering problems.
• Network Analysis and Optimization: This unit covers network analysis and optimization techniques used in engineering operations research. Topics include graph theory, network flows, and transportation problems. Students will learn to model and solve complex network problems using mathematical optimization.
• Queueing Theory and Performance Modeling: This unit introduces students to queueing theory and performance modeling techniques used in engineering operations research. Topics include queueing models, performance metrics, and simulation. Students will learn to analyze and optimize the performance of systems that involve queues and waiting lines.
• Supply Chain Management and Optimization: This unit covers supply chain management and optimization techniques used in engineering operations research. Topics include supply chain modeling, inventory management, and transportation logistics. Students will learn to optimize supply chain operations using mathematical optimization.
• Quality Control and Reliability Engineering: This unit covers quality control and reliability engineering techniques used in engineering operations research. Topics include statistical process control, reliability analysis, and maintenance optimization. Students will learn to ensure product quality and system reliability using mathematical models and optimization techniques.
• Design of Experiments and Optimization: This unit covers the design of experiments and optimization techniques used in engineering operations research. Topics include experimental design, response surface methodology, and optimization under uncertainty. Students will learn to design