ECONOMIC DATA ANALYSIS - 2021/2
Module code: ECO1017
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
Economics is a data-driven subject and figures on growth, unemployment, spending and inflation provide the raw material for many of the theories that dominate the subject. This module explores the data on which economics relies. Several lectures will be focused on understanding the data, but, also, discuss the measurement of key macroeconomic data series. The laboratory sessions will be focused on using the data, developing students understanding on examining and presenting data using Excel.
SAGIEV Erkin (Economics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 4
JACs code: G300
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 60
Lecture Hours: 11
Laboratory Hours: 10
Guided Learning: 58
Captured Content: 11
Prerequisites / Co-requisites
Indicatively, content includes:
- Graphical and numerical examination of distributions;
- Correlation, least-squares regression;
- Understanding causation;
- Measuring economic activity.
|Assessment type||Unit of assessment||Weighting|
|Online Scheduled Summative Class Test||IN CLASS TEST||25|
|Coursework||GROUP REPORT - 3000 WORDS||75|
An individual project can serve as an alternative assessment for the group project for resitting students or those with extenuating circumstances.
The assessment strategy is designed to provide students with the opportunity to show both their research and technical skills as well as their understanding of the taught theory.
Specifically, the summative assessment for this module consists of:
A group research proposal that is submitted in week 8.
- A group report that is submitted after the Christmas break in January. Each group should use secondary data sources and taught techniques to analyse an economic issue. The focus of this assessment is on students' ability to work effectively as part of a team in order to collect, analyse and interpret data. The analysis of data is expected to be carried out using Microsoft Excel.
Formative assessment and feedback
Students are given the opportunity to apply the taught theory and practise the use of Excel on a weekly basis. Specifically, a set of exercises is provided every week until term week 10. Students have the opportunity to attempt the exercises under the guidance of a tutor during the scheduled weekly computer lab sessions. Solutions to the exercises are provided too. Students can receive feedback from the tutor and/or use the solutions to check their progress on their own.
- Understand the application of basic statistical techniques using Microsoft Excel.
- Learn how to analyse data and make judgements based on empirical findings.
- Develop research and teamwork skills.
|003||Familiarise with the use of Microsoft Excel.||P|
|004||Develop teamwork and research skills.||T|
|001||Understand the theory and application of basic statistical methods.||KCP|
|002||Understand how economic activity is measured.||K|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to help students:
- understand basic statistical techniques and use them to carry out empirical analysis;
- familiarise with Microsoft Excel and appreciate it as a tool to conduct data analysis;
- develop critical thinking.
The learning and teaching methods include:
- 2-hour lecture per week x 11 weeks;
- 1-hour drop-in computer lab session.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: ECO1017
Programmes this module appears in
|Business Economics BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Economics and Finance BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Economics BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2021/2 academic year.