Artificial Intelligence: Cognitive Systems
Artificiell intelligens: kognitiva system
About the Syllabus
Grading scale
Course modules
Position
The course is given as a free-standing course.
Main field of study with advanced study
Entry requirements
Admission to the course requires general entry requirements for second-cycle education and a successful completion of a course in
- programming, 7.5 credits and
- machine learning, 7.5 credits.
or courses giving equivalent skills and knowledge.
English 6 or equivalent is also required.
Content
The course gives a survey of theory and practical implementations on how to build artificial systems that approximate intelligent human behaviour by connecting natural language with the physical world through action and perception. We will look at topics such as semantic and computational approaches to modelling natural language, action and perception (grounding), situated dialogue systems, integrated robotic systems, generation and interpretation of scene descriptions from images and videos, computational modelling of spatial cognition, and others.
Objectives
On successful completion of the course the student will be able to:
Knowledge and understanding
- Define the relation between language, action, and perception in human interaction.
- Describe the existing resources, approaches and applications in the field of computational modelling of language, action, and perception: corpora, experimental methods, and computational implementations.
- Read and describe scientific literature and understand programming code.
- Identify ethical considerations.
Competence and skills
- Explain the existing computational resources, approaches, and applications.
- Discuss scientific literature and write programming code.
- Plan, perform, and present an experiment / programming project.
- Perform work according to a predetermined schedule.
Judgement and approach
- Analyse how language, action, and perception are modelled in computational resources, approaches, and applications.
- Recognise problems and formulate new questions for their computational modelling.
- Make an informed choice of appropriate techniques.
- Critically evaluate different models, including their own.
Sustainability labelling
Form of teaching
The course is given either as a distance or an on-site course.
The course consists of (i) lectures, (ii) seminar discussions, (iii) practical tutorials, and (iv) individual project work and supervision.
Language of instruction: English
Examination formats
The course is assessed by participation in seminars and a course project. The grading teacher may request completion of examined student achievements.
Obligatory attendance may be required for some components. Students will be given a chance to compensate the missed sessions with additional tasks and assignments during the course if possible but otherwise they will have to take them the next time the course runs.
If a student who has been failed twice for the same examination element wishes to change examiner before the next examination session, such a request is to be granted unless there are specific reasons to the contrary (Chapter 6 Section 22 HF).
If a student has received a certificate of disability study support from the University of Gothenburg with a recommendation of adapted examination and/or adapted forms of assessment, an examiner may decide, if this is consistent with the course’s intended learning outcomes and provided that no unreasonable resources would be needed, to grant the student adapted examination and/or adapted forms of assessment
If a course has been discontinued or undergone major changes, the student must be offered at least two examination sessions in addition to ordinary examination sessions. These sessions are to be spread over a period of at least one year but no more than two years after the course has been discontinued/changed. The same applies to placement and internship (VFU) except that this is restricted to only one further examination session.
If a student has been notified that they fulfil the requirements for being a student at Riksidrottsuniversitetet (RIU student), to combine elite sports activities with studies, the examiner is entitled to decide on adaptation of examinations if this is done in accordance with the Local Rules Regarding RIU Students at the University of Gothenburg.
Grades
The grading scale comprises: Pass with Distinction (VG), Pass (G) and Fail (U).
Course evaluation
Students participating in, or having completed the course, are given an opportunity to anonymously convey their experiences of and suggestions for the course in a course evaluation. A summary of the course evaluation and reflections of the teacher responsible for the course, is made available to the students within a reasonable time after the course has completed. A summary of the course evaluation and any potential implemented measures are presented the next time the course is given.
Other regulations
The course requires access to a computer with internet access.
The course may not be included in a degree together with LT2318.