TDDC17 · 6 credits · Basic level (G2F) · Datateknik, Datavetenskap
Artificial Intelligence
Active · next start HT 2026
91%
passed the latest ordinary exam
DIT1 · 30 Oct 2025 · 191 students
85%
passed the ordinary exams, all sittings over the last 5 years
DIT1 · 723 students
22%
Harder than 22% of courses at basic level
Compared with 874 courses at the same level, ordinary exams over the last three academic years. 350 students.
Part of 10 programmes
- Master of Science in Computer Science and Engineering
- Master of Science in Information Technology
- Master of Science in Computer Science and Software Engineering
- Master's Programme in Computer Science
- Master of Science in Industrial Engineering and Management
- Master of Science in Biomedical Engineering
- Master of Science in Applied Physics and Electrical Engineering
- Bachelor of Science in Computer Engineering
- Bachelor's Programme in Mathematics
- Master's Programme in Cybersecurity
Exam
DIT1 Digital examination
- 5
- 4
- 3
- U
Ordinary exams
85% passed · 723 students
- 91%191
- 92%159
- 86%194
- 73%179
Re-exams
81% passed · 107 students
- 100%6
- 80%20
- 83%12
- 86%7
- 95%22
- 80%10
- 67%30
- Pass the re-exam: 81% (107 students), compared with 85% (723 students) on the ordinary exam
- Get 4 or 5: 41% (830 students)
Show small sittings (5)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%1
- 100%1
- 0%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Exam
TEN1 Written examination
- 5
- 4
- 3
- U
Ordinary exams
74% passed · 196 students
- 74%196
Re-exams
54% passed · 57 students
- 100%5
- 50%10
- 50%42
- Pass the re-exam: 54% (57 students), compared with 74% (196 students) on the ordinary exam
- Get 4 or 5: 32% (253 students)
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 0%1
- 0%4
- 33%3
- 25%4
Hand-in or lab
LAB2 Laboratory Work
- G
Main rounds
100% passed · 565 students
- 100%158
- 100%129
- 100%145
- 100%133
Later rounds
100% passed · 114 students
- 100%15
- 100%10
- 100%6
- 100%11
- 100%5
- 100%6
- 100%19
- 100%6
- 100%6
- 100%22
- 100%8
- Pass a later round: 100% (114 students), compared with 100% (565 students) on the ordinary exam
Show small sittings (35)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%2
- 100%1
- 100%2
- 100%1
- 100%2
- 100%1
- 100%1
- 100%1
- 100%2
- 100%2
- 100%1
- 100%1
- 100%1
- 100%2
- 100%2
- 100%4
- 100%1
- 100%2
- 100%2
- 100%2
- 100%1
- 100%2
- 100%4
- 100%4
- 100%2
- 100%2
- 100%1
- 100%1
- 100%2
- 100%2
- 100%3
- 100%2
- 100%2
- 100%2
Hand-in or lab
LAB1 Laboratory work
- G
Main rounds
100% passed · 162 students
- 100%162
Later rounds
100% passed · 6 students
- 100%6
- Pass a later round: 100% (6 students), compared with 100% (162 students) on the ordinary exam
Show small sittings (8)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%1
- 100%2
- 100%2
- 100%2
- 100%1
- 100%2
- 100%2
About the course
Aim
The aim of the course is to introduce concepts and applications of artificial intelligence (AI). Focus is on developing intelligent agent systems that can decide what to do and do it. This requires techniques for problem solving, knowledge and reasoning, learning, communication, perceiving and acting. After the course the student will be able to:
- explain and discuss artificial intelligence concepts
- apply well known artificial intelligence techniques
Content
Overview of AI and its applications. Search as a problem-solving method. Logic as a means of representing knowledge. Reasoning with incomplete information; nonmonotonic and probabilistic reasoning. Structured knowledge representation. Action planning and robotics. Strategies for automatic learning. Orientation in architectures for AI.
- Examiner
- Fredrik Heintz
- Scheduled hours
- 52 h
- Main field of study
- Datateknik, Datavetenskap