Other courses

Conventional adaptive and self-running controllers; the use of AI concepts in expert control; fuzzy control; neurocontrol using connectionist networks; applications in manufacturing; process control, robotics and automation.

Symbolic methods used in conventional AI: knowledge representation, search strategies, inference mechanisms in expert system shells. Neural network methods: system identification and pattern recognition issues, basic paradigms and their promises and...

This course is designed to investigate and to discuss selected advance topics of current interest in Systems Engineering and Engineering Management.

This course is designed to investigate and to discuss selected advance topics of current interest in Systems Engineering and Engineering Management.

This course is designed to investigate and to discuss selected advance topics of current interest in Systems Engineering and Engineering Management.

This course is designed to investigate and to discuss selected advance topics of current interest in Systems Engineering and Engineering Management.

Students are required to attend all seminars during the term.

Students are required to attend all seminars during the term.

Review of classical optimization. NP-hardness and using NP-hardness to analyse discrete optimization problems. Design and analysis of algorithms for easy and hard problems, including dynamic programming with pseudo-polynomial complexity, simulated annealing,...

Discrete events systems (DESs) modelling, manufacturing systems, computer networks and air-traffic control systems. Methodologies and techniques in analysing, controlling and managing of DESs: discrete event simulation, perturbation analysis, supervisory...

Accounting income. Cash flow modelling. Depreciation and taxation. Overview of utility theory. Analysis of economic risk. Risk simulation. Decision tree analysis. Procedures for replacement analysis. Activity-based costing. Analytical hierarchy process....