BA3005 - Using and Managing Data and Information (2018/19)
|Module specification||Module approved to run in 2018/19|
|Module title||Using and Managing Data and Information|
|Module level||Foundation (03)|
|Credit rating for module||30|
|School||Guildhall School of Business and Law|
|Total study hours||300|
|Running in 2018/19||
This module aims to provide students with a thorough overview of the numerical and technological skills needed to analyse data in the context of business analysis. The module encompasses aspects of mathematics, statistics and information technology relevant to not only the business management course but also to all other UG courses. The module focuses on numbers and data and their computational and analysis techniques that leads to the understanding of Accounting, Finance, Business, Aviation and Economics related information. Students will make use of a range of facilities on Excel to calculate, analyse and present efficiently.
Week 1-6 Introduction to Excel as a tool for
dealing with percentages and fractions
dealing with finance
logical situations LO1
Week 7 to 15 Introduction to mathematical aspects such as
Precedence rules and rounding
Working with fractions and percentages
Using proportions and ratios
Powers and roots
Introduction to basic algebra
Linear graphs and their graphs
Simultaneous linear equations LO2
Week 16 to 25 Introduction to basic statistical techniques and use of Excel in
Labelling categories and naming variables on Excel
Analysing Nominal, ordinal and cardinal data
Scatter diagram and correlation
Time series analysis
Decision trees based on expected value LO3
Week 26 to 30 Introduction to project management – Network diagram
Balance of independent study and scheduled teaching activity
PDP and Reflective learning are embedded in all modules at Level 3. In this module students will receive formative feedback on their practice as well as feedback on summative assignments enabling them to reflect on their progress.
On successful completion of the module students will be able to:
LO1: explore a range of facilities on Excel spreadsheet such as those of computational, financial and logical nature. [LO1]
LO2: understand and strengthen the basic mathematical skills prevalent within business, management and commerce. [LO2]
LO3: develop the basic skills for the statistical data analysis and the use of Excel to carry this statistical analysis efficiently. [LO3]
LO4: demonstrate a range of skills including academic literacies and presentation skills.
• The assessment is developed to address the module learning outcomes and provide timely feedback to students. The assessment has three components:
• The first assessment will be on focusing on the use of spreadsheet as a tool for basic calculations, transforming and formatting numbers, saving and borrowing money, and as a logical tool.
• The second assessment will focus on strengthening the number skills and algebraic skills.
• The third assessment will focus on the use of Excel to carry out basic statistical analysis.
Curwin, J & al, Quantitative Methods for Business decisions, 2013, Cengage
Oakshott, L, Essential Quantitative Methods, 2012, Palgrave