Faculty of Arts & Science · St. George
CSC310H1
Information Theory
What was the average?
Not reported
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Not yet verified
No syllabus we can lawfully use has been verified for this course.
How confident is this?
Unknown
A small number of terms, so read it as a range.
From the calendar
Official source · Faculty of Arts & ScienceMeasuring information. Entropy, mutual information and their meaning. Probabilistic source models and the source coding theorem. Data compression. Noisy channels and the channel coding theorem. Error correcting codes and their decoding. Applications to inference, learning, data structures and communication complexity.
- Contact hours
- 24 lecture · 12 tutorial
- Total scheduled hours for the course, not per week.
If you are a Faculty of Arts & Science student
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If you are a Faculty of Applied Science and Engineering student
One option from each line
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How well we know this course
2024–2024Pyko’s archive holds 1 document for CSC310H1, across 1 year between 2024 and 2024.
- 1
- Final exams
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What we don’t have yet
Source ledger
Report an error →| Claim | Source | Captured | Status |
|---|---|---|---|
| Course description, prerequisites, exclusions, contact hours | Faculty of Arts & Science | 2026-07-25 | public fact |
| 1 archived documents, 2024-2024 | Pyko archive | 2026-07-25 | index only |
Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.
Everything above is history. Yours isn’t written yet.
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