Timing and Structure
1 or 2 lectures per week in weeks 1-4. 6 lectures.
The aims of the course are to:
- Show how concepts of probability can be applied to engineering applications.
As specific objectives, by the end of the course students should be able to:
- Explain and use simple ideas of probability, mean, variance, etc.
- Manipulate random variables and probability density functions.
- Solve simple statistical problems of engineering importance.
Probability and Statistics
- Conditional probability and independence.
- Permutations and combinations.
- Binomial and Poisson distributions.
- Expectation of a discrete random variable.
- Variance and standard deviation.
- Probability density function for a continuous random variable.
- Mean and variance.
- Normal and exponential distribution.
- Tests of significance and confidence intervals
Further information, including details of each lecture and hand-outs are available here: http://mlg.eng.cam.ac.uk/teaching/1BP7
Please see the Booklist for Part IB Courses for references for this module.
Please refer to Form & conduct of the examinations.
Last modified: 17/05/2018 15:36