- UCAS course code
- F346
- UCAS institution code
- M20
MPhys Physics with Theoretical Physics / Course details
Year of entry: 2027
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Course unit details:
Random Processes in Physics
| Unit code | PHYS10471 |
|---|---|
| Credit rating | 10 |
| Unit level | Level 1 |
| Teaching period(s) | Semester 1 |
| Offered by | Department of Physics & Astronomy |
| Available as a free choice unit? | No |
Overview
Random Processes in Physics
Aims
To introduce and develop the mathematical skills and knowledge needed to understand and use probability theory in physics.
Learning outcomes
On completion of the course, students will be able to:
- Be cognizant of and be able use appropriately, the fundamentals of probability theory.
- Set up and solve models of physical processes involving randomness.
- Be aware of and be able to critically apply, some of the important probability distributions that are used by physicists.
Syllabus
1. Elements of probability
- Introduction: What is probability?
- How to calculate probabilities: permutations and combinations
- Conditional probability
2. Probability distributions
- Discrete random variables; expectation value and variance
- Example: the geometric distribution
- Continuous random variables; the probability density function
- Examples: the uniform distribution; the normal (or Gaussian) distribution
3. Exponential Probability Distribution
- Probability of radioactive decay
- Probability of collisions in a gas; mean free path
- Generalisation: “hazard rate” and survival probability
4. Poisson Probability Distribution
- Probability of occurrence of n random events
- Properties of the Poisson distribution
- Gaussian limit of the Poisson distribution
5. Binomial Probability Distribution
- Binomial distribution for n trials
- Irreversible expansion of a gas
- Poisson and Gaussian limits of the binomial distribution
- Random walks and diffusion
Assessment methods
| Method | Weight |
|---|---|
| Written exam | 100% |
Feedback methods
Feedback will be provided through self assessed problems, and on-line assessment of weekly examples sheets. General feedback will also be given during the weekly Q&A session.
Recommended reading
Statistics [electronic resource] : A Guide to the Use of Statistical Methods in the Physical Sciences, Barlow, R. J.
Mathematical techniques : an introduction for the engineering, physical, and mathematical sciences, Jordan, D. W.
Mathematics for engineers and scientists, Weltner, K.
Probability for physicists, Širca, Simon,
Study hours
| Scheduled activity hours | |
|---|---|
| Assessment written exam | 1.5 |
| Lectures | 22 |
| Independent study hours | |
|---|---|
| Independent study | 76.5 |
Teaching staff
| Staff member | Role |
|---|---|
| Michael Keith | Unit coordinator |
| Benjamin Stappers | Unit coordinator |
