Module manager: Dr Robert Aykroyd
Email: R.G.Aykroyd@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2018/19
A-level Mathematics, or equivalent.
LUBS1240 | Maths&Stats For Bus&Ec 1 |
MATH1715
This module is approved as a discovery module
'Probability is basically common sense reduced to calculation; it makes us appreciate with exactitude what reasonable minds feel by a sort of instinct.' So said Laplace. In the modern scientific and technological world it is even more important to understand probabilistic arguments. The key ideas of probability and random variables are discussed, including concepts of prior and posterior distributions.
On completion of this module, students should be able to:
(a) carry out exploratory data analysis, using a statistical package
(b) state and use the basic rules of probability
(c) understand discrete and continuous probability models
(d) understand the notions of prior and posterior probability
1. Exploratory Data Analysis: numerical and graphical summaries.
2. Introduction to probability axioms, and probability rules.
3. Joint and conditional probability, independence and Bayes' formula.
4. Discrete random variables, Bernoulli trials, binomial distribution.
5. Continuous random variables. Uniform, exponential and normal distributions.
6. Models for data, and parameters.
7. Expectation and Variance.
8. Likelihood.
9. Prior and Posterior Distributions.
Delivery type | Number | Length hours | Student hours |
---|---|---|---|
Lecture | 22 | 1 | 22 |
Tutorial | 5 | 1 | 5 |
Independent online learning hours | 10 | ||
Private study hours | 63 | ||
Total Contact hours | 27 | ||
Total hours (100hr per 10 credits) | 100 |
This will include tutorial exercise sheets, lecture preparation, studying course material, using R for data analysis, revision for exams, preparing for tutorials.
Fortnightly tutorials and homework sheets.
!!! In order to pass the module, students must pass the examination. !!!
Assessment type | Notes | % of formal assessment |
---|---|---|
In-course Assessment | . | 20 |
Total percentage (Assessment Coursework) | 20 |
There is no resit available for the coursework component of this module. If the module is failed, the coursework mark will be carried forward and added to the resit exam mark with the same weighting as listed above.
Exam type | Exam duration | % of formal assessment |
---|---|---|
Standard exam (closed essays, MCQs etc) | 2.0 Hrs Mins | 80 |
Total percentage (Assessment Exams) | 80 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 8/13/2018
Errors, omissions, failed links etc should be notified to the Catalogue Team