Admission requirements
Bachelor degree (completed)
Description
The course studies the topic of artificial intelligence, taking a broad and historical view. Goal of the course is to learn foundational concepts from the field of artificial intelligence. Various topics from the field of AI are covered, to the level that should enable students to discuss AI comfortably and sensibly with other scientists. Selected topics were chosen to be relevant for understanding common AI techniques, the history of AI, some broader context of AI (such as some philosophical views), and to make students think about future directions of AI. Topics include the questions of why we need AI and whether machines can think, machine learning, neural networks, evolutionary computation, robotics, and AI in games.
Elements of the course's learning experience include: lectures, discussion of papers, one or more practical assignment, a project, a final exam.
Course objectives
Through successfully completing the course; students learn to
outline the history and challenges of AI;
interpret the breadth of the field, articulate different views on what AI is, and characterize how these views relate;
articulate key concepts, such as philosophical concepts, the Turing Test, machine learning, neural networks, evolutionary algorithms, robotics, fear of AI, and more;
operate basic neural networks (training and testing);
compare and contrast various topics and views of AI within an academic environment;
assess what is an appropriate AI method or approach for a given problem;
interpret and appraise future scenarios regarding AI.
After the course, students may choose to take more in-depth courses on specific topics that were introduced in this course.
Schedule
In MyTimetable; you can find all course and programme schedules; allowing you to create your personal timetable. Activities for which you have enrolled via MyStudyMap will automatically appear in your timetable.
Additionally; you can easily link MyTimetable to a calendar app on your phone; and schedule changes will be automatically updated in your calendar. You can also choose to receive email notifications about schedule changes. You can enable notifications in Settings after logging in.
Questions? Watch the video; read the instructions; or contact the ISSC helpdesk.
Note: Joint Degree students from Leiden/Delft need to combine information from both the Leiden and Delft MyTimetables to see a complete schedule. This video explains how to do it.
Teaching method
Attendance in lectures is compulsory. Instructional modes include lectures, in-class discussion, self-study, assignments, (group) presentation. Language: English.
Assesment method
The course is assessed based on: * in-class and/or take-home assignment(s), * written and/or verbal paper discussion(s), * graded (group) project, including written and/or oral presentation, * written examination with closed and short open questions.
The final mark for the course is established by (i) determination of the weighted average of the partial grades combined with (ii) additional requirements regarding the passing of subtests with a minimal assessment. The exact weight distribution of the assignments will be communicated at the beginning of the course.
Resit, review & feedback
When the final grade is lower than 5,5 the possibility of a retake can be discussed with the lecturers.
Reading list
No book; only web-available materials. Communicated via the course Brightspace.
Registration
As a student; you are responsible for enrolling on time through MyStudyMap.
In this short video; you can see step-by-step how to enrol for courses in MyStudyMap.
Extensive information about the operation of MyStudyMap can be found here.
There are two enrolment periods per year:
Enrolment for the fall opens in July
Enrolment for the spring opens in December
See this page for more information about deadlines and enrolling for courses and exams.
Note:
It is mandatory to enrol for all activities of a course that you are going to follow.
Your enrolment is only complete when you submit your course planning in the ‘Ready for enrolment’ tab by clicking ‘Send’.
Not being enrolled for an exam/resit means that you are not allowed to participate in the exam/resit.
Contact
Contact the lecturer(s) for questions about the course content. Contact the Creative Intelligence & Technology MSc programme coordinator for questions regarding admission and/or registration into the course.
Remarks
Elective; external and exchange students (other than Media Technology MSc and Creative Intelligence & Techology MSc students) need to be explicitly admitted to the course by the lecturers, before registration. Without explicit admission, it is not possible to takre the course. Placement in the course is not guaranteed for elective; external and exchange students. Contact the Creative Intelligence & Technology MSc programme coordinator to request admission; include a short description of your course interest and state your current study programme in your correspondence.
Transitional arrangement
Research Seminar Artificial Intelligence (6EC 2024-2025) is replaced by Foundations of AI (6EC 2025-2026). Students who completed the former cannot take the latter.
Software
The Faculty of Science uses the software distribution platform Academic Software. Through this platform; you can access the software needed for specific courses in your studies. For some software, your laptop must meet certain system requirements, which will be specified with the software. It is important to install the software before the start of the course. More information about the laptop requirements can be found on the student website.