Introduction to Probability (G5143)
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Introduction to Probability
Module G5143
Module details for 2025/26.
15 credits
FHEQ Level 5
Module Outline
• Classical probability, basic conditioning.
• Random variables, distribution functions, moments, independence.
• Common continuous and discrete random variables.
• Law of large numbers and central limit theorem.
Module learning outcomes
Select and employ appropriate methods to solve basic problems in probability;
Appreciate and understand common random variables;
Comprehend and use central theorems of Probability Theory.
Have gathered sufficient knowledge of different career paths for mathematics graduates that they can draw up their own plan to achieve employment success after graduation
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 10.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | T1 Week 11 | 100.00% |
| Coursework | 10.00% | |
| Coursework components. Weighted as shown below. | ||
| Problem Set | T1 Week 4 | 25.00% |
| Problem Set | T1 Week 6 | 25.00% |
| Problem Set | T1 Week 9 | 25.00% |
| Problem Set | T1 Week 11 | 25.00% |
| Unseen Examination | Semester 1 Assessment | 70.00% |
| Coursework | 10.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | T1 Week 11 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 1 hour | 11111111111 |
| Autumn Semester | Lecture | 2 hours | 11111111111 |
| Autumn Semester | Workshop | 1 hour | 11111111111 |
| Autumn Semester | Class | 1 hour | 11111111111 |
| Autumn Semester | Class | 1 hour | 10101010101 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Vladislav Vysotskiy
Assess convenor
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