This course follows the first term applied mathematics course and gives a comprehensive introduction to Newtonian mechanics. The essential concepts of force,...

This course follows the first term applied mathematics course and gives a comprehensive introduction to Newtonian mechanics. The essential concepts of force, torque, momentum, angular momentum and energy are introduced. This is followed by a thorough coverage of the Newtonian dynamics of point particles, including the classic problem of a central force with the inverse square law. Vector methods, including vector differential equations, are used extensively.

This course will cover the remedies available for both common law and equitable wrongs in the commercial context (broadly interpreted).

Remedies for breach of...

This course will cover the remedies available for both common law and equitable wrongs in the commercial context (broadly interpreted).

Remedies for breach of fiduciary duty will be considered alongside breach of contract, for example, but remedies for personal injury and death will not be analysed in any detail. The aim is to understand the basis of both monetary and non-monetary remedies. Such an understanding is best obtained through a clear analysis of the leading cases and doctrine, in order to appreciate why the courts award certain remedies following commercial disputes.

The aim of this module is to give students a broad introduction to common statistical ideas, techniques, models and tests, to develop a statistical literacy,...

The aim of this module is to give students a broad introduction to common statistical ideas, techniques, models and tests, to develop a statistical literacy, and encourage students to think critically and challenge statistical findings when encountered.

Learning outcomes

By the end of the module, students should be able to:

understand how to present numerical/statistical data clearly and meaningfully
 understand and appreciate the characteristics of different data types
 understand the assumptions underlying common statistical tests and methods
 perform exploratory analysis on data and propose appropriate tests in order to test hypotheses
 present statistical findings and clearly state the degree of confidence in these findings
 critically evaluate basic statistical reports and challenge assumptions
 appreciate the role of statistical methods in the context of quantitative research
 develop a foundation of statistical skills to enable students further their knowledge independently
Compulsory module on the MSc in Knowledge, Information and Data Science.