University of Southampton (UOS) • BSc Business Management
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Modules BSc Business Management at University of Southampton (UOS)
Notes available for the following courses of BSc Business Management at University of Southampton (UOS)
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Latest notes & summaries University of Southampton (UOS) • BSc Business Management
MANG2011 - Human Resource Management complete module revision resource. Complete thorough notes for the exam including key definitions. Topics include: ideas and issues within HRM, organisational design, 5 factors of HR, internal labour markets, recruitment and selection process, human capital and training, team organisation and production, incentives: output/input based pay and pay for performance, promotions as motivators, turnover and layoff policies, employee relations (unions), authority an...
Financial maths: valuing projects detailed breakdown and worked examples. Includes: Net Present Value and Payback Period.
Basics of financial maths: compound interest including examples with formulae.
Thorough revision notes about accounting concepts and conventions. Topics include: accounting regulations, concepts and conventions (duality, business entity, accruals basis of accounting, going concern, prudence, substance over form, recognition, money measurement, materiality, historic cost and true and fair), objective of financial statements and what makes financial information useful (qualitative characteristics).
Thorough revision resource explaining T accounts and how to use them. How to complete them with the debits and credits and how to balance them off with a clear colour coded example.
Thorough revision resource explaining how to record transactions with examples, including debits and credits, and the identification of potential errors within the double entry bookkeeping
Thorough revision notes covering the basics of Double Entry Bookkeeping
Detailed revision guide explaining sources of statistical data (primary and secondary), as well as the ethics and access associated with data collection. Also includes sampling techniques such as simple random, stratified, systematic, quota and self selection to name a few. The ideal sample size is also covered and the mean, mode and median of data is covered (descriptive statistics).
An introduction to statistical variables including key definitions of variable, random variable, random space, event and frequency, categorical, quantitative, nominal or binary, ordinal, interval scale, ratio scale, discrete and continuous data, randomness and patterns, probability distributions, and ways of organising and presenting data - charts or tables, Zalazny's guide to selecting charts and examples of different kinds of charts
The Accounting Equation detailed revision notes for financial accounting modules