MATH B8Z04 - Quantative Techniques

Module Details

Module Code: MATH B8Z04
Full Title: Quantative Techniques
Valid From:: Semester 1 - 2019/20 ( June 2019 )
Language of Instruction:English
Duration: 2 Semesters
Credits:: 10
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 Present and summarise statistical data using suitable graphs and measures of Central Tendency and Dispersion.
MLO2 Use statistical modelling methods (Regression, Correlation & Time Series) to identify patterns within data and project realistic business estimates.
MLO3 Calculate the various price indices and assess the effects of inflation on business data over time.
MLO4 Have an understanding of Probability along with the various Probability Distributions (Binomial, Poisson and Normal)and how they are used in Probability modelling.
MLO5 Use differential calculus to assist in solving problems relating to Demand, Revenue, Cost and Profit functions.
MLO6 Understand compounding and discounting of Financial Data, and its use in investment appraisal and calculation of Annuities.
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
Content
• Data formatting and illustration. • Statistical analysis of data. • Time Series analysis. • Regression & Correlation applications. • Index Numbers and the commonly used Price Indices. • Nominal and effective interest rates. Net Present value. Depreciation. Discounted cash flow. Internal rates of return. • Annuities, Mortgage payments, Investment appraisal. • Use of differential calculus to the solution of cost, revenue, profit functions and in the calculation of inventory problems. • Use of linear programming to solve constrained industrial problems.
Module Assessment
Assessment Breakdown%
Course Work40.00%
Final Examination60.00%
Module Special Regulation
 

Assessments

Full-time

Course Work
Assessment Type Class Test % of Total Mark 10
Marks Out Of 100 Pass Mark 40
Timing S1 Week 7 Learning Outcome 1,2
Duration in minutes 60
Assessment Description
1 hour class test
Assessment Type Class Test % of Total Mark 10
Marks Out Of 100 Pass Mark 40
Timing S1 Week 14 Learning Outcome 2,3,4
Duration in minutes 60
Assessment Description
1 hour class test
Assessment Type Class Test % of Total Mark 10
Marks Out Of 100 Pass Mark 40
Timing S2 Week 25 Learning Outcome 4,5
Duration in minutes 60
Assessment Description
1 hour class test
Assessment Type Class Test % of Total Mark 10
Marks Out Of 100 Pass Mark 40
Timing S2 Week 30 Learning Outcome 5,6
Duration in minutes 60
Assessment Description
1 hour class test
No Project
No Practical
Final Examination
Assessment Type Formal Exam % of Total Mark 60
Marks Out Of 100 Pass Mark 40
Timing End-of-Semester Learning Outcome 1,2,3,4,5,6
Duration in minutes 180
Assessment Description
End-of-Semester Final Examination

Part-time

Course Work
Assessment Type Class Test % of Total Mark 10
Marks Out Of 100 Pass Mark 40
Timing S1 Week 10 Learning Outcome 1,2,3
Duration in minutes 90
Assessment Description
n/a
Assessment Type Class Test % of Total Mark 10
Marks Out Of 100 Pass Mark 40
Timing S2 Week 28 Learning Outcome 4,5,6
Duration in minutes 90
Assessment Description
n/a
Project
Assessment Type Group Project % of Total Mark 20
Marks Out Of 100 Pass Mark 40
Timing End-of-Semester Learning Outcome 1,2,3,4,5,6
Duration in minutes 0
Assessment Description
A group Assignment, with a maximum of 2 people per group.
No Practical
Final Examination
Assessment Type Formal Exam % of Total Mark 60
Marks Out Of 100 Pass Mark 40
Timing End of Year Learning Outcome 1,2,3,4,5,6
Duration in minutes 180
Assessment Description
n/a
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 and Statistics, 7th. Cengage Learning, UK, [ISBN: 9781408083154].
  • John Buglear. (2011), Quantitative Methods for Business and Management, Pearson, [ISBN: 9780273736288].
Supplementary Book Resources
  • Paolo Brandimarte. (2011), Quantitative Methods: An Introduction for Business Management, Wiley & Sons, [ISBN: 9780470496343].
  • Les Oakshott. (2014), Quantitative Methods, Palgrave MacMillan, [ISBN: 9781137340856].
  • Mik Wisniewski. (2016), Quantitative Methods for Decision Makers, 6th. Pearson, [ISBN: 9780273770688].
This module does not have any article/paper resources
This module does not have any other resources