Under construction. This area is a framework being built: most courses have no teaching material yet, and things may change or break. Private self-study. Not an official programme and not recognised by any ministry or school. No qualification, mark or document is issued, and “years 1 to 3” and “advanced” are names of study paths only.
B11 Probability I
Years 1 to 3 pathB: Years 1 to 3 coreplannedabout 120 h (planning estimate)
Draft lectures and exercises are available for this course. They were written by AI and checked by a second AI; no person has reviewed them yet. Use them as a study aid, not as an authority.
Named in: Years 1 to 3 pathway
Why this course
Probability on sample spaces with discrete and continuous models; groundwork for statistics and stochastic processes.
Prerequisites
Concept-level units
Units follow the syllabus order, as a recommended sequence rather than a gate.
- Sample spaces and events
- Conditional probability
- Random variables
- Expectation and variance
- Distributions
- Limit theorems introduction
Assessable outcome
Choose a probability model and derive expectations with justified assumptions.
Assessment design
- topic exercises
- mixed problem sets
- unseen proof or derivation problems
- cumulative examination
cumulative; uses spaced retrieval
Resources
Every title here is candidate, unverified unless marked verified. Titles were suggested while planning. Nobody has checked that they exist, what they cost or how they are licensed.
- Grinstead and Snell
- Blitzstein and Hwang
Content record
- Version
- 0.0.0
- Review
- no review of any kind
- Provenance
- catalogue imported from the owner brief of 29 Oct 2026; no teaching content authored
- Known issues
- none recorded
- Type
- course
Bridges and laboratories
- Laboratory: Sampling, conditioning, distributions, confidence procedures planned Distinguish stochastic variability from systematic error
You and this course
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