ETE318 · 2 credits · Basic level (G1N) · Datavetenskap

Elements of AI

Active · next start HT 2026

100%

passed the latest regular sitting

UPG1 · 6 Sep 2026 · 92 students

100%

passed the regular sittings, all sittings over the last 5 years

UPG1 · 4,896 students

This module only reports passing results, so the pass rate does not show how many did not pass.

Hand-in or lab

UPG1 Assignments

Main rounds

100% passed · 4,896 students

6 Sep 2026100%92

30 Aug 2026100%152
23 Aug 2026100%149
16 Aug 2026100%155
9 Aug 2026100%142
2 Aug 2026100%153
12 Jul 2026100%82
5 Jul 2026100%126
28 Jun 2026100%107
17 Jun 2026100%64
14 Jun 2026100%82
10 Jun 2026100%62
18 Jan 2026100%114
6 Sep 2025100%105
26 Aug 2025100%80
21 Aug 2025100%134
15 Aug 2025100%151
7 Aug 2025100%103
2 Aug 2025100%108
10 Jul 2025100%89
3 Jul 2025100%95
27 Jun 2025100%113
13 Jun 2025100%62
7 Feb 2025100%72
31 Jan 2025100%57
24 Jan 2025100%95
3 Sep 2024100%114
23 Aug 2024100%83
16 Aug 2024100%116
9 Aug 2024100%89
2 Aug 2024100%81
12 Jul 2024100%87
6 Jul 2024100%98
28 Jun 2024100%73
20 Jun 2024100%53
14 Jun 2024100%81
8 Jun 2024100%55
12 Feb 2024100%53
19 Jan 2024100%69
8 Jan 2024100%98
29 Aug 2023100%106
24 Aug 2023100%65
18 Aug 2023100%82
11 Aug 2023100%78
4 Aug 2023100%81
28 Jul 2023100%54
30 Jun 2023100%62
25 Jun 2023100%58
16 Jun 2023100%45
9 Jun 2023100%44
8 Jun 2023100%49
24 Jan 2023100%34
30 Aug 2022100%57
26 Aug 2022100%55
9 Jul 2022100%53
1 Jul 2022100%47
11 Feb 2022100%32

Later rounds

100% passed · 7,477 students

15 Oct 2026100%14
11 Oct 2026100%66
4 Oct 2026100%40
27 Sep 2026100%30
23 Sep 2026100%61
20 Sep 2026100%19
13 Sep 2026100%92
4 Sep 2026100%15
26 Jul 2026100%44
23 Jul 2026100%93
19 Jul 2026100%107
21 Jun 2026100%35
8 Jun 2026100%30
3 Jun 2026100%42
31 May 2026100%49
24 May 2026100%47
18 May 2026100%28
13 May 2026100%61
4 May 2026100%17
29 Apr 2026100%16
26 Apr 2026100%44
19 Apr 2026100%42
12 Apr 2026100%23
7 Apr 2026100%17
6 Apr 2026100%48
26 Mar 2026100%34
22 Mar 2026100%42
16 Mar 2026100%34
11 Mar 2026100%17
8 Mar 2026100%62
1 Mar 2026100%60
22 Feb 2026100%51
15 Feb 2026100%52
8 Feb 2026100%41
1 Feb 2026100%20
29 Jan 2026100%44
25 Jan 2026100%50
21 Jan 2026100%23
8 Jan 2026100%10
5 Jan 2026100%26
29 Dec 2025100%28
22 Dec 2025100%34
14 Dec 2025100%42
7 Dec 2025100%39
30 Nov 2025100%36
24 Nov 2025100%14
21 Nov 2025100%9
18 Nov 2025100%54
10 Nov 2025100%39
3 Nov 2025100%32
25 Oct 2025100%31
20 Oct 2025100%34
12 Oct 2025100%48
5 Oct 2025100%51
26 Sep 2025100%47
21 Sep 2025100%67
14 Sep 2025100%74
1 Sep 2025100%13
31 Aug 2025100%54
29 Aug 2025100%52
22 Aug 2025100%26
27 Jul 2025100%87
19 Jul 2025100%59
15 Jul 2025100%49
14 Jul 2025100%42
4 Jul 2025100%15
30 Jun 2025100%10
18 Jun 2025100%54
10 Jun 2025100%40
6 Jun 2025100%43
30 May 2025100%36
23 May 2025100%36
17 May 2025100%30
8 May 2025100%31
3 May 2025100%32
25 Apr 2025100%26
18 Apr 2025100%23
11 Apr 2025100%31
5 Apr 2025100%36
28 Mar 2025100%39
23 Mar 2025100%11
21 Mar 2025100%25
14 Mar 2025100%26
7 Mar 2025100%43
28 Feb 2025100%44
21 Feb 2025100%44
14 Feb 2025100%40
17 Jan 2025100%30
10 Jan 2025100%46
3 Jan 2025100%37
27 Dec 2024100%17
20 Dec 2024100%6
19 Dec 2024100%37
13 Dec 2024100%39
6 Dec 2024100%28
29 Nov 2024100%17
26 Nov 2024100%10
22 Nov 2024100%42
15 Nov 2024100%13
13 Nov 2024100%42
8 Nov 2024100%20
5 Nov 2024100%52
23 Oct 2024100%31
18 Oct 2024100%32
11 Oct 2024100%30
7 Oct 2024100%12
4 Oct 2024100%16
2 Oct 2024100%45
26 Sep 2024100%48
20 Sep 2024100%55
13 Sep 2024100%49
10 Sep 2024100%36
26 Aug 2024100%27
26 Jul 2024100%80
18 Jul 2024100%69
31 May 2024100%55
25 May 2024100%30
22 May 2024100%26
18 May 2024100%34
9 May 2024100%37
3 May 2024100%17
29 Apr 2024100%57
19 Apr 2024100%30
12 Apr 2024100%35
8 Apr 2024100%25
3 Apr 2024100%30
28 Mar 2024100%33
22 Mar 2024100%43
15 Mar 2024100%36
8 Mar 2024100%29
1 Mar 2024100%47
23 Feb 2024100%44
16 Feb 2024100%30
2 Feb 2024100%47
26 Jan 2024100%43
24 Jan 2024100%8
12 Jan 2024100%30
15 Dec 2023100%30
8 Dec 2023100%25
1 Dec 2023100%23
24 Nov 2023100%12
22 Nov 2023100%14
17 Nov 2023100%29
9 Nov 2023100%18
3 Nov 2023100%23
27 Oct 2023100%34
20 Oct 2023100%21
14 Oct 2023100%23
6 Oct 2023100%22
29 Sep 2023100%35
22 Sep 2023100%16
21 Sep 2023100%21
19 Sep 2023100%23
15 Sep 2023100%41
8 Sep 2023100%37
6 Sep 2023100%27
1 Sep 2023100%25
22 Jul 2023100%10
21 Jul 2023100%47
15 Jul 2023100%42
2 Jun 2023100%34
26 May 2023100%21
19 May 2023100%12
13 May 2023100%6
11 May 2023100%19
5 May 2023100%21
28 Apr 2023100%19
21 Apr 2023100%18
14 Apr 2023100%13
7 Apr 2023100%15
5 Apr 2023100%24
30 Mar 2023100%19
24 Mar 2023100%24
17 Mar 2023100%31
10 Mar 2023100%20
3 Mar 2023100%17
24 Feb 2023100%16
20 Feb 2023100%7
14 Feb 2023100%5
10 Feb 2023100%22
3 Feb 2023100%20
27 Jan 2023100%16
26 Jan 2023100%13
13 Jan 2023100%8
11 Jan 2023100%10
6 Jan 2023100%8
3 Jan 2023100%8
30 Dec 2022100%10
23 Dec 2022100%12
16 Dec 2022100%18
9 Dec 2022100%11
2 Dec 2022100%10
30 Nov 2022100%15
26 Nov 2022100%17
18 Nov 2022100%25
10 Nov 2022100%16
4 Nov 2022100%18
28 Oct 2022100%10
21 Oct 2022100%17
15 Oct 2022100%18
11 Oct 2022100%10
7 Oct 2022100%27
30 Sep 2022100%13
26 Sep 2022100%16
22 Sep 2022100%14
18 Sep 2022100%6
16 Sep 2022100%32
9 Sep 2022100%20
7 Sep 2022100%25
2 Sep 2022100%27
19 Aug 2022100%16
16 Aug 2022100%25
13 Aug 2022100%43
6 Aug 2022100%44
29 Jul 2022100%42
21 Jul 2022100%34
15 Jul 2022100%34
6 Jul 2022100%7
25 Jun 2022100%35
18 Jun 2022100%22
15 Jun 2022100%24
12 Jun 2022100%35
11 Jun 2022100%19
3 Jun 2022100%14
30 May 2022100%24
20 May 2022100%11
13 May 2022100%8
6 May 2022100%13
30 Apr 2022100%18
22 Apr 2022100%25
8 Apr 2022100%12
2 Apr 2022100%22
25 Mar 2022100%20
18 Mar 2022100%8
16 Mar 2022100%5
13 Mar 2022100%13
6 Mar 2022100%27
23 Feb 2022100%9
20 Feb 2022100%17
4 Feb 2022100%28
29 Jan 2022100%20
22 Jan 2022100%18
15 Jan 2022100%27
8 Jan 2022100%8
3 Jan 2022100%14
24 Dec 2021100%5
18 Dec 2021100%21
11 Dec 2021100%14
3 Dec 2021100%10
26 Nov 2021100%16
19 Nov 2021100%21
12 Nov 2021100%15
5 Nov 2021100%24
29 Oct 2021100%8
23 Oct 2021100%17

Pass a later round: 100% (7,477 students), compared with 100% (4,896 students) on the ordinary exam

Show small sittings (46)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

16 Sep 2026100%1
2 Sep 2026100%3
4 Nov 2025100%1
15 Oct 2025100%1
29 Sep 2025100%1
2 Jul 2025100%1
27 Mar 2025100%1
11 Mar 2025100%1
6 Nov 2024100%4
29 Oct 2024100%1
28 Oct 2024100%1
25 Oct 2024100%1
24 Oct 2024100%1
5 Aug 2024100%3
9 Jul 2024100%1
8 Jul 2024100%1
3 Jun 2024100%1
7 Mar 2024100%1
5 Mar 2024100%1
9 Feb 2024100%3
8 Feb 2024100%1
18 Jan 2024100%1
3 Dec 2023100%1
18 Nov 2023100%1
14 Sep 2023100%1
28 Aug 2023100%2
17 Feb 2023100%4
8 Feb 2023100%1
5 Feb 2023100%1
1 Jan 2023100%1
12 Nov 2022100%4
29 Oct 2022100%1
19 Oct 2022100%1
12 Oct 2022100%1
6 Oct 2022100%4
30 Jul 2022100%4
22 Jul 2022100%1
20 Jul 2022100%2
7 Jul 2022100%1
15 Apr 2022100%4
11 Mar 2022100%1
25 Feb 2022100%3
14 Feb 2022100%1
21 Jan 2022100%1
19 Jan 2022100%1
15 Nov 2021100%1

About the course

Aim

After completing the course, the student will be able to:

Understand and explain a number of fundamental problems, techniques and concepts in the area of artificial intelligence.

Content

The material is divided in six chapters which are:

1. What is AI?

Definitions of AI
Autonomy and adaptivity
Philosophical problems related to AI including the Turing test and the Chinese room thought experiment

2. AI problem solving

Formulate a simple game (such as tic-tac-toe) as a game tree
Use the minimax principle to find optimal moves in a limited-size game tree

3. Real world AI

Expressing probabilities in terms of natural frequencies
Bayes rule to infer risks in simple scenarios
The base-rate fallacy and how to avoid it by applying Bayesian reasoning

4. Machine learning

Why use machine learning
Unsupervised and supervised machine learning scenarios
Supervised classification methods: the nearest neighbor method, linear regression, and logistic regression

5. Neural networks

What is a neural network is and where are they being successfully used
The technical methods that underpin neural networks

6. Implications

Major societal implications of AI including algorithmic bias, AI-generated content, privacy, and work
The difficulty of predicting the future and how to evaluate claims made about AI

Examiner: Fredrik Heintz
Scheduled hours: 0 h
Main field of study: Datavetenskap

Syllabus on Studieinfo ↗