# EC125: Computing and Data Analysis

• #### Jeremy Smith

6 CATS - Department of Economics
Spring Module
Autumn Module

### Principal Aims

This module is a research-led module, which exposes students to appropriate statistical packages to which will enable students to apply techniques learnt in first year statistics modules to real world data. You will gain an understanding of how programme within the statistical package, thereby enabling the student to present statistical data in a simple and meaningful way (tables, graphs), how to develop hypothesis tests from the data. Students will gain skills in presenting statistical data and report writing.

### Principal Learning Outcomes

Use and undertake basic programming in the selected statistical software package. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures will be used to provide examples of data description, students will then practice by following the online videos and exercise sheets to practice themselves. The summative assessment methods that measure the achievement of this learning outcome are: Group project.

Undertake basic cleaning of micro datasets and preliminary data description of those datasets. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures will be used to provide examples of data description, students will then practice by following the online videos and exercise sheets to practice themselves. The summative assessment methods that measure the achievement of this learning outcome are: Group project.

Undertake basic statistical analysis and hypothesis testing of datasets. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures will be used to provide examples of data description, students will then practice by following the online videos and exercise sheets to practice themselves. The summative assessment methods that measure the achievement of this learning outcome are: Group project.

Write reports of their data description and data analysis, distilling key insights and conclusions. The teaching and learning methods that enable students to achieve this learning outcome are: Exercise sheets will give students practice at report writing. The summative assessment methods that measure the achievement of this learning outcome are: Group project.

### Syllabus

The module will typically cover the following topics:

Computing skills; Economic statistics;

Descriptive statistics;

Data awareness;

Data analysis;

Report-writing and report-presentation

### Context

Core Module
L100 - Year 1, L116 - Year 1, LM1D (LLD2) - Year 1, V7ML - Year 1, L1L8 - Year 1, L1CA - Year 1
Part-year Availability for Visiting Students
Not available on a part-year basis

### Assessment

Assessment Method
Coursework (100%)
Coursework Details
Group Project (100%)
Exam Timing
N/A

### Exam Rubric

N/A

Previous exam papers can be found in the University’s past papers archive. Please note that previous exam papers may not have operated under the same exam rubric or assessment weightings as those for the current academic year. The content of past papers may also be different.