Capita Selecta of Symbolic AI

6 ECTS credits
150 h study time

Offer 1 with catalog number 4024062ENR for all students in the 1st and 2nd semester at a (E) Master - advanced level.

Semester

1st and 2nd semester

Enrollment based on exam contract

Impossible

Grading method

Grading (scale from 0 to 20)

Can retake in second session

Yes

Taught in

English

Faculty

Faculty of Sciences and Bioengineering Sciences

Department

Computer Science

Educational team

Decaan WE (course titular)

Activities and contact hours

36 contact hours Lecture
12 contact hours Seminar, Exercises or Practicals
80 contact hours Independent or External Form of Study

Course Content

In this seminar the students get insights about recent developments in the field of symbolic AI. This is an advanced course about selected topics from the state of the art in symbolic AI techniques and systems. As such, the exact content of the course can vary each year. The seminar series are based on interactive sessions where students discuss with the professor. As a base line, students study scientific papers before each session to facilitate a discussion. A list of themes with associated research papers is put forward each year, for instance some of the recent advances in: knowledge representation, automatic theorem proving, constraint-based reasoning, neural-symbolic cognitive agents, might be covered. As well as aspects and discussions on Fair AI in this context.
Students will present and animate group discussions. For these lectures, the students will prepare a presentation about recent research results on which they will be graded. The student must critically review the assigned research papers, identify the main contributions, and synthesize the theme for peers in a presentation. All students contribute to the discussion.

Additional info

None

Learning Outcomes

General competencies

Knowledge and Insight:
In this seminar the student gets insights about recent developments in the field of symbolic AI. They will deepen their knowledge about specific topics in symbolic AI systems and are required to communicate the outcome to other course participants. The student should be able to critically review the assigned research papers, identify the main contributions and communicate the content in the form of a presentation as well as in a written report.

Application of Knowledge and Insight:
Since this course is given in a seminar form that is mainly based on the study of research papers, the students will not apply the acquired scientific knowledge in an exercise or project-specific form. However, they apply new insights about the independent investigation of a research topic as well as different forms of presentation as part of their assignment.

Judgement Shaping:
The student is required to identify the contributions as well as strengths and weaknesses of a given research paper. They should further get an insight of how to evaluate and position a research paper in the context of related work.

Communication:
As part of the seminar the student is required to clearly communicate about the assigned research topic. The attendee shows that they can reflect on a given research topic and discuss it with colleagues by asking and answering scientific questions.

Learning Skills:
After having attended this course, the student has the necessary knowledge to independently investigate a given research topic based on specific research papers and other resources.

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

Other exam with a relative weight of 1 which comprises 100% of the final mark.

Note: See 'Additional information regarding evaluation'

Additional info regarding evaluation

The final grade is going to be based on the student's presentation as well as on the written report and the review of a number of additional papers. Note that the attendance of the lectures/presentations is mandatory and an unjustified absence (i.e without medical or other certificate) from more than two lectures in total will result in the grade 'absent' for the seminar.

Allowed unsatisfactory mark

The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context