This knowledge forms the basis of analysis for the more complex and broader concept of derivatives. The first part of the course introduces the student to basic understanding of financial models and concepts as it relates to valuation in a legal context. Item 1: 100% Final Assessment Exercise (24 hours) (2 hours)ĭescription: This module introduces complex concepts in finance at a level that is appropriate for law students to master them.Protection of journalists sources & materials, including digital resources and communications, from undue state / police interference. This includes: - Ownership & Control of the Media - Press Regulation - EU Broadcasting Law & the shift to regulation of online, streaming content - UK Broadcasting Law & the shift to regulation of online, streaming content - Advertising Regulation - Article 10, Freedom of Speech and the reasonable limits thereon with a view to protecting the Article 6 right to a fair trial, in the context of media reporting the courts - Contempt of Court and the media - filming and livestreaming the courts, contempt by publication - Reporting restrictions and the media - including identification of victims of serious crimes, statutory restrictions on reporting proceedings involving children and vulnerable adults, discretionary judicial orders, the media's right to representation and to appeal orders. This module has an emphasis on the hands-on application of data analysis techniques using the Python and R programming languages, and is taught partly through lectures and partly through computer-based lab projects.ĭissertation in International Shipping Lawĭescription: The content of the proposed module will cover the content of both current modules SOLM217 and SOLM218. This will cover all of the major steps of data analysis, including the cleaning and pre-processing of datasets, initial analysis and visualisation techniques, the selection of appropriate methods to perform in-depth analyses and make statistical inferences from them, the fitting of meaningful physical models in the presence of imperfections and noise in the data, and the estimation of uncertainties and how they affect the conclusions that can be drawn. Prerequisite: Before taking this module you must take SPA4122Ĭorequisite: In the same year as taking this module you must take SPA5666ĭescription: In this module, you will develop a broad range of skills in the practical analysis of real-world data.
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