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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

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DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Group Project in Advanced Natural Language Processing (INFR11193)

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 Credits20 ECTS Credits10
SummaryThis course requires students to undertake a significant group project in natural language processing, with the advice of 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, communication, and teamwork 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 coordinate the work of a team with diverse intellectual background.

* 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 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 2019/20, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 1, Seminar/Tutorial Hours 5, Feedback/Feedforward Hours 2, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 188 )
Additional Information (Learning and Teaching) The course runs in semester 1, meeting approximately five times over this duration.
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Written Examination: 0%
Practical Examination: 0%
Coursework: 100%

200 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 answer a prescribed research question, and will typically include:

* A section identifying the major claims resulting from the research.

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

* Results and analysis, explaining how the results support the main claim.

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

The group mark for the project will be moderated by an assessment of each student┐s individual contribution, emphasizing teamwork skills.
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. Coordinate with a team of diverse experts to answer a research question in n atural language processing.
  2. Plan and monitor a coordinated effort to meet milestones and deadlines within a limited timescale.
  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 Ivan Titov
Tel: (0131 6)51 3092
Email: ititov@exseed.ed.ac.uk
Course secretaryMs Lindsay Seal
Tel: (0131 6)50 2701
Email: lindsay.seal@ed.ac.uk
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