Study-Unit Description

Study-Unit Description


CODE MGT1204

 
TITLE Quantitative Techniques 2

 
UM LEVEL 01 - Year 1 in Modular Undergraduate Course

 
MQF LEVEL 5

 
ECTS CREDITS 4

 
DEPARTMENT Management

 
DESCRIPTION This unit covers the following four topics related to mathematical analysis:
1) Mathematics of Finance: Simple Interest, Compound Interest, Present Value, annuities, Amortisation of loans
2) Integration: The Indefinite integral, Techniques of Integration, The Definite Integral, Area between curves.
3) Probability: Sample spaces and events, independent events, conditional probability
4) Statistics: measures of central tendency, measures of spread, describing relationships, statistical significance, statistical inference, hypothesis testing (chi-squared test, t-test)

Following an introductory explanation of the purpose and the steps involved in each technique, students are provided with several down-to-earth examples of its use in transportation and logistics.

Study-unit Aims

This unit aims to provide a mathematical foundation for students. It begins with non calculus topics such as equations, functions, matrix algebra, probability and statistics. It then progresses through single-variable calculus. The main aim to to enable students to obtain an expected level of achievement: awareness, knowledge, application, mastery, reinforcement, and enrichment.

Learning Outcomes

1. Knowledge & Understanding: By the end of the study-unit the student will be able to:

apply mathematical techniques to a wide variety of complex problems in transportation and logistics.

2. Skills (including transferable [generic] skills): By the end of the study-unit the student will be able to:

interpret and solve problems in different real-life situations, particularly those related to transportation and logistics

Main Text/s and any supplementary readings

Main Text:

- Barnett, R.A., Ziegler, M.R. & Byleen, K.E (2007) College mathematics for business, economics, life sciences and social sciences (11e) Pearson Education. (available in library)

Supplementary Reading:

- Haeussler, E.F. & Paul, R.S. (2002) (Introductory Mathematical Analysis for Business, Economics, Life and Social Sciences (10e) Prentice-Hall.(available in library)
- Levine, D.M., Stephan, D., Krehbiel, T.C. & Berenson, M.L. (2002) Statistics for Managers using Microsoft Excel (3e) Prentice-Hall. (available in library)4

 
ADDITIONAL NOTES Pre-Requisite Study-units: Quantitative Techniques I

 
STUDY-UNIT TYPE Lecture

 
METHOD OF ASSESSMENT
Assessment Component/s Sept. Asst Session Weighting
Examination (2 Hours) Yes 100%

 
LECTURER/S Matthew Galea

 

 
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It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years.

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