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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2023/2024

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Individual Project in Advanced Natural Language Processing (INFR11192)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits40 ECTS Credits20
SummaryThis course requires students to undertake a significant piece of individual, self-directed research in natural language processing, developed in consultation with a member of staff. The project requires the application of skills learned through other courses and requires the development and synthesis of new skills, including problem-solving and communication skills.
Course description This course requires students to undertake a significant piece of individual, self-directed research in natural language processing, developed in consultation with a member of staff. The project requires the application of skills learned through other courses and requires the development and synthesis of new skills, including:

* The ability to identify new research questions in NLP based on a review of the literature.

* The ability to design and carry out experiments, implement systems, or prove mathematical results needed to answer NLP research questions.

* The ability to communicate novel scientific results orally and in writing.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Students MUST NOT also be taking Individual Project in Advanced Natural Language Processing (80 credits) (INFR11204)
Other requirements This course is ONLY available to students on the first year of the PhD with Integrated Study in Natural Language Processing.
Course Delivery Information
Academic year 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 400 ( Lecture Hours 1, Seminar/Tutorial Hours 5, Feedback/Feedforward Hours 2, Programme Level Learning and Teaching Hours 8, Directed Learning and Independent Learning Hours 384 )
Additional Information (Learning and Teaching) Runs in semester 2, through the following summer of academic year, meeting twice over this duration.
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework: 100%

400 hours, including formative assignments evaluated by peer assessment at group meetings.

Students will be assessed on the basis of a short written report in the style of a conference paper; and on an oral presentation which may include a demonstration. The report must describe substantial and original research, and will typically include:

* A section motivating why the research is relevant to NLP and identifying the major claims resulting from the research.

* A concise explanation of methods, experimental design, novel implementation details, or mathematical background, as appropriate to the topic.

* Results and analysis, relating these back to the main claims.

* A background section explaining how the research relates to other historical or contemporary research in NLP.

* A section explaining further questions that arise from the research and outlining questions for further research, if appropriate.
Feedback Feedback on assessed coursework will be provided within two weeks, and will include formative comments on work in relation to concepts studied in the course.
Report drafts will be reviewed by peers, the course instructor, the TA, and individual supervisors under a provided rubric.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. identify a specific research question in natural language processing and propose experimental, mathematical, or engineering methods to answer it
  2. carry out and precisely document methods to answer research questions in natural language processing
  3. communicate novel research results in natural language processing to a scientific audience orally and in writing
Reading List
None
Additional Information
Graduate Attributes and Skills Students on the course will develop skills in using a range of specialised skills, techniques, practices and/or materials that are at the forefront of, or informed by forefront developments; In applying a range of standard and specialised research and/or equivalent instruments and techniques of enquiry; planning and executing a significant project of research, investigation or development; demonstrating originality and/or creativity, including in practices; exercise substantial autonomy and initiative in professional and equivalent activities.
Special Arrangements Only available to students on the PhD with integrated study in Natural Language Processing.
KeywordsNatural language processing,research skills
Contacts
Course organiserDr Frank Keller
Tel:
Email: Frank.Keller@ed.ac.uk
Course secretaryMs Lindsay Seal
Tel: (0131 6)50 2701
Email: lindsay.seal@ed.ac.uk
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