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ECON7009 - Economic Data and Analysis

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Title:Economic Data and Analysis
Long Title:Economic Data and Analysis
Module Code:ECON7009
 
Credits: 5
NFQ Level:Intermediate
Field of Study: Economics
Valid From: Semester 1 - 2018/19 ( September 2018 )
Module Delivered in 5 programme(s)
Module Coordinator: CAROLINE O REILLY
Module Author: AISLING CONWAY LENIHAN
Module Description: The module aims to equip students with the necessary skills to assess and manipulate economic data in order to assist in business decision making. This is facilitated through the use of micro and macro level economic data.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Analyse techniques for collecting, assessing and presenting data in relation to Economics.
LO2 Manipulate economic functions using microsoft excel to present and interpret data.
LO3 Forecast trend values using time series analysis.
LO4 Calculate and interpret various investment appraisal techniques.
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named CIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.

No requirements listed
Co-requisites
No Co Requisites listed
 

Module Content & Assessment

Indicative Content
Economics and Business Research Analysis Tools
Data concepts, how data supports decision making, data collection and data visualisation techniques including economic data.
Economic Data Manipulation
Manipulate demand, supply and consumption functions using microsoft excel and data visualisation.
Business Forecasting
Analyse sales trends, prices and indices using microsoft excel and data visualisation. Cost Benefit Analysis.
Investment Appraisal Methods
Discounting and present values net present values and internal rate of return.
Assessment Breakdown%
Course Work100.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Microsoft Excel based examination on demand and consumption functions. 1,2 30.0 Week 7
Practical/Skills Evaluation Microsoft Excel based examination on sales trends using forecasting techniques. 3 30.0 Week 11
Short Answer Questions Exam on investment appraisal techniques, business forecasting, data manipulation and business research analysis tools. 1,2,3,4 40.0 Week 13
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The institute reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Delivery of content and material underpinning learning outcomes 3.0 Every Week 3.00
Lab Lab based practical application 1.0 Every Week 1.00
Independent & Directed Learning (Non-contact) Student undertakes independent study including reading relevant course material 3.0 Every Week 3.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Delivery of content and material underpinning learning outcomes 1.5 Every Week 1.50
Lab Lab based practical application 0.5 Every Week 0.50
Independent & Directed Learning (Non-contact) Student undertakes independent study including reading relevant course material 5.0 Every Week 5.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 2.00
 

Module Resources

Recommended Book Resources
  • James R. Evans 2012, Business Analytics, 2nd Ed., Pearson [ISBN: 9780321997821]
Supplementary Book Resources
  • Gary Koop 2013, Analysis of Economic Data, 4th Ed., Wiley & Sons [ISBN: 9781118472538]
  • Wanye C. Winston 2013, Microsoft Excel: Data Analysis and Business Modelling, Microsoft [ISBN: 9780735669]
  • Les Oakshott 2012, Essential Quantitative Methods, 5th Ed., Palgrave MacMillan [ISBN: 9780230302662]
This module does not have any article/paper resources
Other Resources
 

Module Delivered in

Programme Code Programme Semester Delivery
CR_BBUSS_7 Bachelor of Business 4 Mandatory
CR_BACCT_8 Bachelor of Business (Honours) in Accounting 4 Elective
CR_BIBLA_8 Bachelor of Business (Honours) in International Business with Language 5 Mandatory
CR_BBUSS_6 Higher Certificate in Business 4 Mandatory
CR_BACCT_6 Higher Certificate in Business in Accounting 3 Elective

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Email: help@cit.edu.ie