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Human-Inspired Artificial Intelligence is no longer accepting new applications.
Teaching
The course is taught through a mixture of lectures, practicals, smaller group seminars and supervisions.
Teaching includes a core module “Introduction to Human-Inspired AI” (8 hours of teaching) and four elective modules (4 hours of teaching each). Students select elective modules from a choice of at least 8 options covering both skills modules and specialist modules. The elective modules on offer will vary year by year, reflecting the current research interests of staff, but will cover a variety of areas in human-inspired AI.
Students who need conversion training (i.e. skills training in technical aspects of AI as determined at the time of admission to the degree) must take two mandatory skills modules, chosen in consultation with a course advisor. Students who do not need conversion training can choose up to 2 skills modules that build upon or diversify their prior skills.
In Easter term, students will attend work-in-progress seminars for the first 6 weeks of the term. During these seminars students will present and discuss their dissertation research.
For their supervised research, students work individually with supervisors to produce a dissertation of up to 15,000 words (including footnotes, appendices and bibliography). Topics for the research dissertation are chosen by students in consultation with their supervisor.
For part-time students only:
Year 1: Students will take the Introduction to Human-inspired Artificial Intelligence module and two elective modules during Michaelmas and Lent. Students needing conversion training should take skills modules during this year. Students will attend student-led research seminars in Lent and Easter, attending once a week. There will be no teaching or assessment in July-September.
Year 2: Students will take two elective specialist modules, one in Michaelmas and another one in Lent. They start their dissertation research in Lent and will attend research seminars once a week in Easter. Second year part-time students’ hand in their dissertation in early June (the same deadline as the full-time students).
Teaching will be organised so that part time students will only be taught and need to be available two days per week.
| One to one supervision | 10 hours in total, this includes a mixture of group and one-to-one supervisions. One hour of supervision per elective module (4 in total) and 6 hours of supervision for the dissertation. The °Ç¸ç³Ô¹Ï publishes an annual which sets out the University’s expectations regarding supervision. |
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| Seminars & classes | 24 hours of taught seminars in total The taught elements include a core module “Introduction to Human-Inspired AI” (8 hours of teaching) and four elective modules (4 hours of teaching each). 20 hours of student-led research seminars related to dissertation research topics. |
| Lectures | Students are encouraged to attend lectures, research seminars and reading groups relevant to their interests. |
| Practicals | 4 hours of practicals per each skills module for students taking such elective modules. A student will take up to 2 skills modules. (Note: these hours are not additional but are included in our count of 24 hours of teaching.) |
| Taught/Research Balance | Equal Taught/Research |
Feedback
Students receive marks and examiners' reports for each piece of assessed written work as well as termly reports from the Course Leaders.
Assessment
Thesis / Dissertation
Dissertation: up to 15,000 words (excluding appendices and bibliography) 50%
Essays
Specialist modules: coursework including one 4000 word essay or one 1,500 word essay and a mini project (written report) 10% for each module.
Written examination
Core module: ’Introduction to Human-Inspired Artificial Intelligence’, written in-class test 10%
Practical assessment
Skills modules: coursework including practical (a written report) or a mini-project (written report) 10% each module.
