Limits of Computation (G5029)
15 credits, Level 6
This module addresses fundamental questions of computing like 'what is computable?' and 'what is feasibly computable?' The problems are discussed using a particular choice of 'effective procedure' that you can program in easily. This allows one to view all problems and solutions in this course as programming-related.
The importance of understanding the reasons for the existence of non-computable and intractable problems is discussed, techniques for recognising them are presented and real-world examples of non-computable or intractable problems are given.
The following topics are covered to answer the fundamental questions above:
- Interpreters, compilers, specializers, in particular self-interpreters.
- Definition of an unsolvable problem (Halting problem) and generalisation (Rice's Theorem).
- Examples of unsolvable problems.
- What does feasible mean? How can one measure resource-usage of (time, space, non-determinism) of programs?
- Definition of unfeasible problems. Examples of such problems.
- Definition of asymptotic complexity classes and their relationships.
Teaching and assessment
We’re currently reviewing teaching and assessment of our modules in light of the COVID-19 situation. We’ll publish the latest information as soon as possible.
Contact hours and workload
This module is approximately 150 hours of work. This breaks down into about 32 hours of contact time and about 118 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.
This module is running in the academic year 2021/22. We also plan to offer it in future academic years. However, we are constantly looking to improve and enhance our courses. There may be changes to modules in response to student demand or feedback, changes to staff expertise or updates to our curriculum. We may also need to make changes in response to COVID-19. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.
This module is offered on the following courses: