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Curricular information is subject to change
Knowledge and understanding of the subject.
Indicative Module Content:Topics covered will include: outcomes, events, and probability; independence; random variables and distributions; expected value, moments and variance; permutations and combinations; binomial, multinomial and Poisson distributions; conditional probability; continuous distributions; law of averages; central limit theorem.
Student Effort Type | Hours |
---|---|
Lectures | 36 |
Tutorial | 10 |
Autonomous Student Learning | 72 |
Total | 118 |
Desirable to already have taken a basic course in Statistics and be familiar with integration and differentiation.
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Mr Ganesh Babu | Tutor |
Priyanka Joshi | Tutor |
Iuliia Promskaia | Tutor |
Lecture | Offering 1 | Week(s) - Autumn: All Weeks | Fri 14:00 - 14:50 |
Lecture | Offering 1 | Week(s) - 1 | Thurs 10:00 - 10:50 |
Lecture | Offering 1 | Week(s) - 2, 3, 4, 5, 6, 7 | Thurs 10:00 - 10:50 |
Lecture | Offering 1 | Week(s) - 8, 9, 10, 11, 12 | Thurs 10:00 - 10:50 |
Lecture | Offering 1 | Week(s) - 1, 2, 3, 4, 5, 6, 7, 12 | Thurs 13:00 - 13:50 |
Lecture | Offering 1 | Week(s) - 8, 9, 10, 11 | Thurs 13:00 - 13:50 |
Tutorial | Offering 1 | Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | Mon 13:00 - 13:50 |
Tutorial | Offering 2 | Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | Tues 15:00 - 15:50 |
Tutorial | Offering 3 | Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | Wed 14:00 - 14:50 |
Tutorial | Offering 4 | Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | Tues 14:00 - 14:50 |