• Describe and discuss the foundations and key results of modern probability and information theory in an integrated format.
• Describe contemporary applications of probability.
• Pursue independent research in these topics.

• The module will consist of 24 hours of lectures and 96 hours of independent study.

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Ungraded
• Other detail(s): Two hour in-house written examination

• Less than 40% - did not complete; between 40% and 100% - pass

• Are Supplemental registrations permitted? No

• Registered PhD student; Advanced Calculus; Basic Linear Algebra; some knowledge of real analysis and basic probability

• None

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