This module aims to provide an appreciation of the various processes involved in a typical systems engineering lifecycle, of how the success of any system...

This module aims to provide an appreciation of the various processes involved in a typical systems engineering lifecycle, of how the success of any system depends on an understanding of such lifecycles and how these lifecycles can and should be tailored to meet the specific needs of any system and its development. At the end of the course the delegate should appreciate the different system engineering lifecycles and be able to tailor a lifecycle to suit the needs of any system in development or operation. They should also be able to appreciate the engineering advantages and cost benefits of early integration of all disciplines involved in the system.

ECONOMETRICS|NUMERICAL RESULTS INTERPRETATION|ECONOMIC DATA ANALYSIS

This module is designed to develop undergraduate students’ ability to understand and interpret quantitative results in the empirics of economics and...

This module is designed to develop undergraduate students’ ability to understand and interpret quantitative results in the empirics of economics and business. It also provides a foundation for enabling students to conduct their own empirical research in this area. The emphasis is less on the computational techniques and more on correct application of econometric methodology and interpretation of the numerical results. The module begins with basic methods for analysis of economic data and simple regression formulation and will progress gradually towards more specific techniques used for cross-sectional, time-series and, subject time permit, panel data. Students will also gain skills in working with real economic data using statistical software Stata. This will ‘open doors’ for all 2nd year students for studying and understanding the modern empirical economics and business literature, in particular, focused on developing economies and emerging markets, and provide them with basic skills necessary to undertake their own research. The module will also serve as a platform for further, more advanced, quantitative modules.