TDDD92 · 5 credits · Basic level (G2F) · Datateknik
Artificial Intelligence - Project
Active · next start HT 2026
100%
passed the latest regular sitting
UPG3 · 19 Jan 2026 · 29 students
100%
passed the regular sittings, all sittings over the last 5 years
UPG3 · 64 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 1 programme
Hand-in or lab
UPG3 Individual written report
- 5
- 4
- 3
Main rounds
100% passed · 64 students
- 100%29
- 100%35
Later rounds
100% passed · 20 students
- 100%6
- 100%9
- 100%5
- Pass a later round: 100% (20 students), compared with 100% (64 students) on the ordinary exam
- Get 4 or 5: 86% (84 students)
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%1
- 100%2
- 100%4
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG2 Individual written report
- 5
- 4
- 3
Main rounds
100% passed · 72 students
- 100%23
- 100%12
- 100%15
- 100%22
Later rounds
100% passed · 37 students
- 100%9
- 100%8
- 100%7
- 100%6
- 100%7
- Pass a later round: 100% (37 students), compared with 100% (72 students) on the ordinary exam
- Get 4 or 5: 77% (109 students)
Show small sittings (17)
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%1
- 100%2
- 100%3
- 100%1
- 100%1
- 100%1
- 100%2
- 100%1
- 100%1
- 100%1
- 100%1
- 100%2
- 100%4
- 100%2
- 100%1
Hand-in or lab
UPG1 Project assignment
- 5
- 4
- 3
Main rounds
100% passed · 83 students
- 100%35
- 100%26
- 100%22
Later rounds
100% passed · 20 students
- 100%6
- 100%9
- 100%5
- Pass a later round: 100% (20 students), compared with 100% (83 students) on the ordinary exam
- Get 4 or 5: 62% (103 students)
Show small sittings (19)
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%1
- 100%2
- 100%1
- 100%1
- 100%1
- 100%2
- 100%1
- 100%1
- 100%2
- 100%1
- 100%3
- 100%2
- 100%1
- 100%4
- 100%3
- 100%1
Hand-in or lab
UPG4 Project work
- G
- U
Main rounds
94% passed · 53 students
- 100%28
- 88%25
Later rounds
100% passed · 23 students
- 100%5
- 100%12
- 100%6
- Pass a later round: 100% (23 students), compared with 94% (53 students) on the ordinary exam
Show small sittings (15)
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
- 100%1
- 100%1
- 100%4
- 100%1
- 100%1
- 100%4
- 100%2
- 100%1
- 100%2
- 100%1
- 100%4
About the course
Aim
After the course, the student will be able to:
- evaluate how one or more AI techniques could be applied and integrated in a given system to solve a related problem, with a basis in scientific literature
- apply, implement and integrate such an AI technique in the system with the intent of solving the given problem
- evaluate in writing the implemented technique and its effect on the system
Content
Study, implementation and evaluation of AI techniques for e.g., intelligent agents and games. Written communication for writing reports in Swedish.
- Examiner
- Jonas Kvarnström
- Scheduled hours
- 74 h
- Main field of study
- Datateknik