AI501: Introduction to Artificial Intelligence
The Study Board for Science
Teaching language: Danish or English depending on the teacher
EKA: N330062102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Bachelor
STADS ID (UVA): N330062101
ECTS value: 7.5
Date of Approval: 21-10-2025
Duration: 1 semester
Version: Approved - active
Entry requirements
Academic preconditions
The student is expected to have a basic understanding of
- mathematical proofs (e.g., from DM549 or MM537), and
- programming (e.g., from DM536, DM574, or DM562).
Course introduction
The aim of the course is to equip participants with knowledge about the basic concepts and techniques underlying intelligent computer systems. The focus is on the aspects of problem solving, reasoning, and decision making. The focus is also on the logical and probabilistic foundations of these activities.
Expected learning outcome
At the end of this course, the student is expected to have the following competences:
- outline the basic logic principles of problem solving, basic concepts for reasoning, decision making, and discrete probability;
- describe in detail the fundamental algorithms of searching, reasoning, and decision making covered in the curriculum of the course;
- assess the applicability of basic problem solving and reasoning techniques to different problems that resemble those seen in the lectures;
- develop intelligent systems to solve concrete computational problems.
Content
- Overview of Artificial Intelligence
- Search techniques
- Knowledge, reasoning, planning, and discrete probabilities
Literature
Examination regulations
Exam element a)
Timing
June
Tests
Written exam
EKA
N330062102
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Student Identification Card - Exam number
Language
Normally, the same as teaching language
Duration
4 hours
Examination aids
The exam is with limited aids. Only the following aids are allowed:
- language translation dictionaries (e.g. Danish/English, Danish/German etc) in "ordbogsprogrammet" (the dictionary programme) from http://www.ordbogen.com/ in electronic form. The browser version is not allowed. See the complete list of which dictionaries are allowed in the separate "Instruction to ordbogen dot com". All dictionaries other than the allowed dictionaries must be switched off in “ordbogsprogrammet” (the dictionary programme).
Internet is not allowed. However, you may access the course page in itslearning to open system "DE–Digital Exam" and complete any tests within the system.
ECTS value
7.5
Additional information
The exam paper is MCQ format and free format. The MCQ part is handed out in the DE-Digital Exam system and is answered in the system. The free format part is handed out as a PDF document, and the paper must be submitted as a single PDF document.
Indicative number of lessons
Teaching Method
Planned lessons:
Total number of planned lessons: 56
Hereof:
Common lessons in classroom/auditorium: 28
Team lessons in classroom/auditorium: 28
The common lessons are primarily lectures where topics and projects are introduced. The lessons will leave room for discussion and questions. In the team lessons the students are expected to work on solving and discussing exercises.
Other planned teaching activities:
Solving small assignments, individually or in small groups.
Teacher responsible
Timetable
Administrative Unit
Team at Registration
Offered in
Recommended course of study
Transition rules
Transitional arrangements describe how a course replaces another course when changes are made to the course of study.
If a transitional arrangement has been made for a course, it will be stated in the list.
See transitional arrangements for all courses at the Faculty of Science.