This page displays the selected Module Descriptor.
Printer friendly version
Session: 2022/23
Last modified: 08/04/2022 09:24:25
|
Title of Module: Data Analysis |
|---|
|
Code: ACCT07007 |
SCQF Level: 7
(Scottish Credit and Qualifications Framework) |
Credit Points: 20 |
ECTS: 10
(European Credit Transfer Scheme) |
|---|
| School: | School of Business & Creative Industries |
|---|
| Module Co-ordinator: | Dr Michael
Guo |
|---|
| Summary of Module |
|---|
This module sets out to demonstrate the use of basic mathematics, including formulae and ratios within an accounting context; it will enable you to demonstrate the use of probability in relation to risk and uncertainty. You will learn how to apply techniques for collecting, summarising and analysing data including descriptive and inferential statistics; how to calculate and interpret correlation coefficients and apply the technique of simple regression analysis in an accounting-related context. You will also acquire techniques used in forecasting; you will develop a number of financial mathematical techniques and apply spreadsheets to facilitate the presentation of data, analysis of data and use of formulae.
The learning outcomes covered in this module promote many non-subject specialist skills such as problem-solving skills. The transferable skills gained in this module will enhance your study skills for other topics.
You will also benefit from the knowledge and practical experience that your lecturers bring to this module from their scholarly activities and professional expertise.
|
| Module Delivery Method |
|---|
| Face-To-Face | Blended | Fully Online | HybridC | HybridO | Work-based Learning |
|  | | | | |
Face-To-Face
Term used to describe the traditional classroom environment where the students and the lecturer meet synchronously in the same room for the whole provision.
Blended
A mode of delivery of a module or a programme that involves online and face-to-face delivery of learning, teaching and assessment activities, student support and feedback. A programme may be considered “blended” if it includes a combination of face-to-face, online and blended modules. If an online programme has any compulsory face-to-face and campus elements it must be described as blended with clearly articulated delivery information to manage student expectations
Fully Online
Instruction that is solely delivered by web-based or internet-based technologies. This term is used to describe the previously used terms distance learning and e learning.
HybridC
Online with mandatory face-to-face learning on Campus
HybridO
Online with optional face-to-face learning on Campus
Work-based Learning
Learning activities where the main location for the learning experience is in the workplace.
|
| Term(s) for Module Delivery |
|---|
|
(Provided viable student numbers permit).
|
| Term 1 | | Term 2 | | Term 3 | |
[Top of Page]
| Learning Outcomes: (maximum of 5 statements) |
|---|
On successful completion of this module the student will be able to:
L1.
Understand the use of basic mathematical concepts, formulae, and ratios within organisations
L2.
Apply the principles of probability where risk and uncertainty exist
L3.
Apply mathematical techniques in summarising and analysing data including use of descriptive and inferential statistics
L4.
Demonstrate the techniques used for forecasting both manually and by using spreadsheets |
| Employability Skills and Personal Development Planning (PDP) Skills |
|---|
| SCQF Headings |
During completion of this module, there will be an opportunity to achieve
core skills in:
|
|---|
| Knowledge and Understanding (K and U) |
SCQF Level 7.
Understand the use of brackets and powers; understanding the use and limitations of probabilities and expected values in decision making, as well as the concepts of risk and uncertainty; explaining and identifying the differences and main characteristics of data and information and demonstrating an understanding of how and why indices are used; Understanding the concepts, components and limitations of forecasting models and moving averages; explaining the features, functions and limitations of spreadsheet software for decision making. |
| Practice: Applied Knowledge and Understanding |
SCQF Level 7.
Solving simple equations and accurately calculate percentages and proportions and prepare simple linear graphs; calculating probabilities and expected values and apply them to given scenarios; tabulating data and prepare histograms, normal distribution graphs, calculate mean, median, mode, standard deviations and co-efficient variances; applying Pareto Analysis to organisational problems; calculating seasonal factors and predicting values for time series and prepare a time series graph and trend equations ;Applying spreadsheet software to routine tasks carried out by Management Accountants within organisations. |
| Generic Cognitive skills |
SCQF Level 7.
Appreciating the application of mathematical techniques within decision making; evaluating data and information |
| Communication, ICT and Numeracy Skills |
SCQF Level 7.
Understanding, selecting and applying basic arithmetic, statistical and mathematical techniques; communicating results; using VLE; |
| Autonomy, Accountability and Working with others |
SCQF Level 7.
Carrying out independent research; working effectively with others in study groups |
| Pre-requisites: |
Before undertaking this module the student should have
undertaken the following:
|
|---|
Module Code:
| Module Title:
|
| Other: | |
| Co-requisites | Module Code:
| Module Title:
|
|---|
* Indicates that module descriptor is not published.
[Top of Page]
| Learning and Teaching |
|---|
The module employs hybrid learning approaches. Students will be exposed to core concepts and ideas through the use of asynchronous, online lectures and activities designed to allow students to engage with the material in a flexible manner. Synchronous online support sessions will concentrate on interactive learning designed to allow students to engage with staff and classmates and deepen their understanding of the subject material. The social learning platform will be used to share key information and provide opportunities for interaction with staff and other students.
|
Learning Activities
During completion of this module, the learning activities undertaken to
achieve the module learning outcomes are stated below:
| Student Learning Hours
(Normally totalling 200 hours):
(Note: Learning hours include both contact hours and hours spent on other learning activities) |
| Asynchronous Class Activity | 24 |
| Tutorial/Synchronous Support Activity | 12 |
| Independent Study | 164 |
| 200
Hours Total
|
|
**Indicative Resources: (eg. Core text, journals, internet
access)
|
|---|
The following materials form essential underpinning for the module content
and ultimately for the learning outcomes:
Recommended Text
Curwin J., Slater R, Eadson, D. (current ed) Quantitative Methods for Business Decisions, Cengage Learning
|
|
(**N.B. Although reading lists should include current publications,
students are advised (particularly for material marked with an asterisk*) to
wait until the start of session for confirmation of the most up-to-date
material)
|
| Engagement Requirements |
|---|
In line with the Academic Engagement Procedure, Students are defined as academically engaged if they are regularly engaged with timetabled teaching sessions, course-related learning resources including those in the Library and on the relevant learning platform, and complete assessments and submit these on time. Please refer to the Academic Engagement Procedure at the following link: Academic engagement procedure |
[Top of Page]
Supplemental Information
| Programme Board | Accounting, Finance and Law |
|---|
| Assessment Results (Pass/Fail) |
No
|
|---|
| Subject Panel | Accounting, Finance & Law |
|---|
| Moderator | Chaman Shrestha |
|---|
| External Examiner | N Sutcliffe |
|---|
| Accreditation Details | This module contributes to the exemptions from various professional examinations attributable to the Bachelor of Accounting programme. Contact School for current details. |
|---|
| Version Number | 2.09 |
|---|
[Top of Page]
| Assessment: (also refer to Assessment Outcomes Grids below) |
|---|
| Online class Test - Note that the pass mark for this element is 40%, but where the overall module mark is 40% or more a mark of 35% or over will be counted as a pass. |
| Online examination - Note that the pass mark for this element is 40%, but where the overall module mark is 40% or more a mark of 35% or over will be counted as a pass. |
(N.B. (i) Assessment Outcomes Grids for the module
(one for each component) can be found below which clearly demonstrate how the learning outcomes of the module
will be assessed.
(ii) An indicative schedule listing approximate times
within the academic calendar when assessment is likely to feature will be
provided within the Student Handbook.)
|
Assessment Outcome Grids (Footnote A.)
Footnotes
A. Referred to within Assessment Section above
B. Identified in the Learning Outcome Section above
[Top of Page]
Note(s):
- More than one assessment method can be used to assess individual learning outcomes.
-
Schools are responsible for determining student contact hours. Please refer to University Policy on contact hours (extract contained within section 10 of the Module Descriptor guidance note).
This will normally be variable across Schools, dependent on Programmes &/or Professional requirements.
|
| Equality and Diversity |
|---|
Where identified, appropriate arrangements will be made for additional assessment time and facilities.
UWS Equality and Diversity Policy |
|
(N.B. Every effort
will be made by the University to accommodate any equality and diversity issues
brought to the attention of the School)
|