Module Descriptors
DATA ANALYSIS
MATH40205
Key Facts
Faculty of Computing, Engineering and Sciences
Level 4
15 credits
Contact
Leader: Patricia Lewis
Email: P.A.Lewis@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- ASSIGNMENT weighted at 50%
- EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
Module Details
Module Texts
Background reading:
Foundation Mathematics, 2nd Edition, A. Croft and R. Davidson, Addison-Wesley, 1997, ISBN 0201178044
Quantitative Methods for Accounting and Business Studies, 3rd Edition, G. Bancroft and G. O'Sullivan, McGraw-Hill, 1993, ISBN 0077077318
Foundation Mathematics, 2nd Edition, A. Croft and R. Davidson, Addison-Wesley, 1997, ISBN 0201178044
Quantitative Methods for Accounting and Business Studies, 3rd Edition, G. Bancroft and G. O'Sullivan, McGraw-Hill, 1993, ISBN 0077077318
Module Special Admissions Requirements
None.
Module Resources
An integrated suite of software packages, such as Microsoft Office.
Module Indicative Content
Numbers and Number Systems: arithmetical operations, fractions and decimals, percentages and ratios, powers and indices, binary, octal and hexadecimal systems.
Financial arithmetic: compound interest, net present value.Algebra: linear equations and functions, quadratic equations and functions, graph plotting.Statistics: different types of data, extracting information from data, presentation of data using charts and diagrams, mean, mode, median, standard deviation, uses and abuses of statistics.
Calculus: differentiation of simple algebraic functions, rates of change, applications to maxima and minima.
Probability: definition, laws of probability, tree diagrams, expectation, discrete probability distributions.
Business modelling and decision support using spreadsheets.
Financial arithmetic: compound interest, net present value.Algebra: linear equations and functions, quadratic equations and functions, graph plotting.Statistics: different types of data, extracting information from data, presentation of data using charts and diagrams, mean, mode, median, standard deviation, uses and abuses of statistics.
Calculus: differentiation of simple algebraic functions, rates of change, applications to maxima and minima.
Probability: definition, laws of probability, tree diagrams, expectation, discrete probability distributions.
Business modelling and decision support using spreadsheets.
Module Learning Strategies
The core material will be delivered through the two one-hour lectures and one one-hour tutorial you receive each week in groups of at the most 20 students. Some of these tutorials will consist of problem classes and the rest will be computer laboratory sessions in which you will be working on spreadsheet exercises.
Throughout the module you will be working on a case study in which you will be applying the knowledge you have gained.
THIS MODULE WILL NORMALLY RUN IN SEMESTER 1
Throughout the module you will be working on a case study in which you will be applying the knowledge you have gained.
THIS MODULE WILL NORMALLY RUN IN SEMESTER 1
Module Additional Assessment Details
1. A coursework assignment weighted at 50% to design and implement a spreadsheet based solution to a case study problem with 2 milestones (Learning Outcomes 1, 2 and 3).
2. An examination of 2 hours duration weighted at 50% (Learning Outcomes 1 and 2).
2. An examination of 2 hours duration weighted at 50% (Learning Outcomes 1 and 2).