LLLC2277 Management Decision Making
20 Credits Class Size: 45
Module manager: Samantha Earl
Email: S.Earl@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running
2024/25
Mutually Exclusive
This module is not approved as a discovery module
Module summary
This module introduces you to a range of quantitative techniques that are commonly used as management decision making tools. You will also develop an understanding of the limitations of the application of quantitative techniques within a decision making context.
Objectives
The aims of the module are to enable the student to:
-Analyse and interpret quantitative data
-Apply quantitative and statistical techniques
-Present quantitative information in a suitable format for use by management
Learning outcomes
On successful completion of the module students will be able to:
- Apply and interpret probability theory and decision analysis
- Apply and interpret inferential statistical tests
- Formulate and interpret a linear programming model
- Apply and interpret time-series analysis
Syllabus
The content will cover such areas as:
-Central tendency and variability
- Probability theory and decision trees
- Sampling Theory and the Central Limit Theorem
-Confidence Intervals
-Hypothesis Testing
- Linear programming
- Time series analysis.
Teaching Methods
| Delivery type |
Number |
Length hours |
Student hours |
| Workshop |
13 |
1.5 |
19.5 |
| Private study hours |
180.5 |
| Total Contact hours |
19.5 |
| Total hours (100hr per 10 credits) |
200 |
Private study
- Reading: 80 hours
- Critical reflection on practice: 39 hours
- Examination preparation: 30 hours
-Assignment preparation 31.5 hours
Opportunities for Formative Feedback
Through regular workshops, monitoring of student contributions and the staged submission of formative assessment.
Methods of Assessment
Coursework
| Assessment type |
Notes |
% of formal assessment |
| In-course Assessment |
2 hour exam |
50 |
| In-course Assessment |
2 hour exam |
50 |
| Total percentage (Assessment Coursework) |
100 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading List
The reading list is available from the Library website
Last updated: 29/04/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team