Aims - This module aims to provide an introduction to statistical methods and interpretation of data, along with associated computing required by managers. It...

Aims - This module aims to provide an introduction to statistical methods and interpretation of data, along with associated computing required by managers. It is intended for students registered on certain undergraduate programmes offered by the UCL School of Slavonic and East European Studies (SSEES) and the UCL School of European Languages, Culture and Society (SELCS).

Objectives - On successful completion of the module a student should have an understanding of basic methods of descriptive statistics, confidence intervals and significance tests, which they could apply to simple applications in business studies, and be able to carry out using appropriate computer software.

Content - Descriptive statistics and graphical methods. Use of the normal distribution. Confidence intervals and significance tests applied to one and two sample problems by parametric and non-parametric methods. Correlation and regression. Simple time series methods (moving averages, trends, seasonality). Goodness-of-fit and contingency tables. Index numbers. Use of Microsoft Excel for statistical purposes.

Key texts - Available from ReadingLists@UCL.

This module introduces the key concepts relating to the use of technology in inspiring or enabling transformation. This includes discussion of key...

This module introduces the key concepts relating to the use of technology in inspiring or enabling transformation. This includes discussion of key technological influences as well as ways of understanding the lifecycle of technology. The module includes an introduction to technology, IT concepts and architectures, and technology design, with key concepts in modern technology including cyber security, data protection, big data, autonomy and robotics. Management of knowledge and technology maturity, technology lifecycles, technology transfer and standards are also covered. The module also explores technology forecasting and roadmapping, the management of innovation and the use of technology to bring about change. This is achieved through a combination of interactive lectures and case studies where the taught principles are applied.