Module Details

Module Code: BUSS B7032
Full Title: Quantitative Techniques
Valid From:: Semester 1 - 2019/20 ( June 2019 )
Language of Instruction:English
Duration: 1 Semester
Credits:: 5
Module Owner:: Brian Woods
Departments: Unknown
Module Description: no description provided
 
Module Learning Outcome
On successful completion of this module the learner will be able to:
# Module Learning Outcome Description
MLO1 Interpret and analyse the mathematical importance of statistical data
MLO2 Investigate and estimate mathematical relationships among data
MLO3 Explain correlation and regression techniques
MLO4 Identify trends in data over time, seasonal variations in data in order to forecast future trends
MLO5 Transmit and interpret realistic conclusions drawn from data analysis
MLO6 Evaluate and interpret the use of Index Numbers in the Business and Economic world
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 DkIT 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
 
Module Indicative Content
Statistical analysis of data
Extracting, Tabulating, Illustrating, Analysing and Interpreting data
Regression and correlation
Investigating Bivariate relationships and generating predictive models
Time-series analysis
Exploring trends and seasonality within data and using it to generate projected values
Index numbers
Interpreting the significance of percentage changes within the economy.
Module Assessment
Assessment Breakdown%
Course Work30.00%
Final Examination70.00%
Module Special Regulation
 

Assessments

Full-time

Course Work
Assessment Type Class Test % of Total Mark 15
Marks Out Of 100 Pass Mark 40
Timing S1 Week 6 Learning Outcome 1,2,3
Duration in minutes 60
Assessment Description
Class test
Assessment Type Class Test % of Total Mark 15
Marks Out Of 100 Pass Mark 40
Timing S1 Week 12 Learning Outcome 4,5,6
Duration in minutes 60
Assessment Description
Class Test
No Project
No Practical
Final Examination
Assessment Type Formal Exam % of Total Mark 70
Marks Out Of 100 Pass Mark 40
Timing End-of-Semester Learning Outcome 1,2,3,4,5,6
Duration in minutes 120
Assessment Description
End-of-Semester Final Examination
Reassessment Requirement
A repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

DKIT reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full-time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact No Description Every Week 3.00 3
Directed Reading Non Contact No Description Every Week 3.00 3
Independent Study Non Contact No Description Every Week 3.00 3
Total Weekly Learner Workload 9.00
Total Weekly Contact Hours 3.00
Workload: Part-time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Class contact hours Every Week 2.00 2
Directed Reading Non Contact Assigned worksheets Every Week 3.00 3
Independent Study Non Contact External reading material Every Week 4.00 4
Total Weekly Learner Workload 9.00
Total Weekly Contact Hours 2.00
 
Module Resources
Recommended Book Resources
  • Andre Francis & Ben Mousley. (2014), Business Mathematics andStatistics, 7th. Cengage Learning UK, [ISBN: 9781408083154].
Supplementary Book Resources
  • Mik Wisniewski. (2016), Quantitative Methods for Decision Makers, 6th. Pearson, [ISBN: 9780273770688].
  • Les Oakshott. (2014), Quantitative Methods, Palgrave MacMillan, [ISBN: 9781137340856].
  • Paolo Brandimarte. (2011), Quantitative Methods: An Introduction for Business Management, 1st. Wiley & Sons, [ISBN: 9780470496343].
  • Dewhurst, F.. (2006), Quantitative Methods for Business & Management, 2nd. McGraw Hill, [ISBN: 9780077109028].
This module does not have any article/paper resources
This module does not have any other resources