Lecture notes
These printed notes have some sections marked *, which are non-examinable.
If you spot a mistake in the printed notes, let me know.
Announcements and Q&A
—
Moodle
Lecture schedule
This is the planned lecture schedule. It will be updated as and when actual lectures
deviate from schedule. Links are to prerecorded videos. Slides are uploaded the night
before a lecture, and re-uploaded after the lecture with annotations made during
the lecture.
| Example sheet 0 (prerequisites)
also included as an appendix in the notes,
and solutions
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Lecture 1 |
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Lecture 2 |
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Lecture 3
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Lecture 4
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Prediction accuracy versus model fit (* non-examinable)
nn
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Lecture 5
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Climate dataset challenge
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Lecture 6
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Lecture 7
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Example sheet 1
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Lecture 8
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Discussion of climate dataset challenge (* non-examinable)
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Lecture 9
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Lecture 10
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video only |
Mock exam question 2
and walkthrough (29:35)
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Example sheet 2
Climate confidence challenge (Bayesian)
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Lecture 11
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Lecture 12
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Lecture 13
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The problem of induction (* non-examinable)
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video only |
Mock exam question 3
and walkthrough (18:20)
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Example sheet 3
Climate confidence challenge (Frequentist)
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Lecture 14
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Lecture 15
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Lecture 16
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video only |
Mock exam question 4
and
walkthrough
(16:30)
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