Courses / Module

On successful completion of the module, students should be able to:

• 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.

Delivery methods	Hours
Lectures	24
Labs / Practicals	0
Tutorials	0
Planned learning activities	0
Independent student activities	96
Total	120

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

Assessment type	Weighting	Duration
Continuous Assessment	0%
University scheduled written examination	%	minutes
Other	100%
Total	100%	minutes

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

• Are Supplemental registrations permitted? Yes
• Is Supplemental Continuous Assessment registration permitted? No

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

• None

This timetable is not currently available, please contact the Hamilton Institute Department.