BSc Computational Linguistics
1. Awarding Institution: University of Edinburgh
2. Teaching Institution: University of Edinburgh
3. Programme Accredited By: see accreditation pages
4. Final Award: BSc with Honours
5. Programme Title: Computational Linguistics
6. UCAS Code: QG14
7. Relevant QAA Subject Benchmarking Group(s): Computing, Linguistics
8. Mode of Study: Full time
9. Educational aims of programme:
Computational linguistics brings together theories and techniques from linguistics, psycholinguistics and computer science in order to understand computational aspects of the human language faculty. The central aim is to develop formal models that reflect aspects of the human language faculty and to implement these models in computational form.
The programme will also focus on the practical outcomes of modelling human language use. The study of applications of computational linguistics brings theoretical models into a mutually beneficial interaction with engineering and software design issues.
The program will be jointly offered by the School of Informatics and the subject area Theoretical and Applied Linguistics within the School of Philosophy, Psychology and Language Sciences.
10. Programme Outcomes
After successfully completing the programme, students will gain the following abilities and skills.
(a) Knowledge and understanding
- Describe and explain the main theoretical, empirical and modeling approaches to computational linguistics.
- Critically evaluate formal and computational models of the human language faculty.
- Describe and explain the practical applicability of the main approaches to computational linguistics.
(b) Intellectual Skills
- Identify appropriate frameworks for analysing linguistic phenomena, and synthesise abstract representations of the phenomena within those frameworks.
- Specify and implement computer programs that model aspects of the human language faculty.
(c) Professional/subject-specific practical skills
- Conduct and analyze empirical studies of linguistic behaviour.
- Apply the methodologies (formal, empirical and computational modelling) employed by the disciplines that contribute to computational linguistics.
- Communicate the results of their work using the standards and conventions appropriate to research in the contributing disciplines of computational linguistics.
(d) Transferable skills
- Deploy logical, analytical, and problem solving skills.
- Show self-direction and time management skills when working independently.
- Work effectively as part of a team.
- Provide and accept peer evaluation.
- Communicate effectively through a variety of media, including oral, visual, written, diagrammatic and on-line communications.
- Make effective use of learning materials and to acquire and apply knowledge from a variety of sources.
11. Programme Structure and Features:
For formal definitions, including details of compulsory and optional course choices, consult the Degree Programme Table. Consult the List of Informatics courses to discover which courses belong to which subject area.
12. Entry RequirementsPlease consult the current University Undergraduate Prospectus.