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.

E10 Graphical models and causal inference

Years 1 to 3 pathE: Proposed extensionsplannedproposed, not in any programmeabout 120 h (planning estimate)

Planned: syllabus only, no teaching material yet. Nothing on this page can be studied; it describes what the course would cover.

In no programme. This is a proposed extension course; the owner has not approved it into a programme.

Proposed by the assistant to fill a gap in the owner's catalogue. It is in no programme until the owner approves it.

Why this course

Missing link between probability, learning and causal claims.

Prerequisites

Required: B11 Probability I, B17 Mathematical statistics I, B04 Linear algebra I: computation & geometry
Recommended: none
Can be taken at the same time: none
Everything required, transitively (10 courses): B01, B02, B03, B04, B05, B06, B11, B17, F01, F02
Courses that require this one: none

Concept-level units

Units follow the syllabus order, as a recommended sequence rather than a gate.

Bayesian networks
Markov random fields
Inference algorithms
Learning structure and parameters
Causal diagrams and do-calculus
Identification and its limits

Assessable outcome

Represent a problem as a graphical model and decide what can and cannot be inferred causally.

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.

Koller and Friedman · Probabilistic Graphical Models
Pearl · Causality
Hernán and Robins · Causal Inference: What If (free)

Content record

Version

0.0.0

Review

no review of any kind

Provenance

PROPOSED by the assistant on 30 Oct 2026 to fill gaps in the brief's catalogue; not in the owner's brief; needs the owner's approval and a curriculum reviewer

Known issues

Proposed course: not counted by any programme audit until the owner approves adding it to an elective pool.

Type

course

Bridges and laboratories

No bridge or laboratory is attached to this course yet.

You and this course

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