Course of study
Structure of Bachelor's Programme in Artificial Intelligence
| Innføring i kunstig intelligens (krav 10 SP) | ||||||||
| Mandatory course | ||||||||
| Course code | Course title | SP | S | R | ||||
|---|---|---|---|---|---|---|---|---|
| AIKI100 | Introduction to Artificial Intelligence | 10 | 1–2 | 1 | ||||
| Examen philosophicum (krav 10 SP) | ||||||||
| Velg mellom seminar- eller eksamensmodell av ex.phil. | ||||||||
| Choose minimum one of the courses | ||||||||
| Course code | Course title | SP | S | R | ||||
| EXPHIL-SVEKS | Examen Philosophicum | 10 | 5–10 | 5 | ||||
| EXPHIL-SVSEM | Examen Philosophicum | 10 | 5–10 | 5 | ||||
| Spesialisering | ||||||||
| Mandatory course | ||||||||
| Course code | Course title | SP | S | R | ||||
| AIKI110 | Artificial agents | 10 | 1–6 | 2 | ||||
| AIKI200 | Bachelor Thesis in Artificial Intelligence | 10 | 1–6 | 6 | ||||
| AIKI210 | AI Ethics | 10 | 1–6 | 5 | ||||
| INF264 | Introduction to Machine Learning | 10 | 1–6 | 5 | ||||
| INFO104 | Formal Methods in Information Science | 10 | 1–6 | 2 | ||||
| INFO132 | Introduction to Programming | 10 | 1–6 | 1 | ||||
| INFO180 | Methods in Artificial Intelligence | 10 | 1–6 | 3 | ||||
| INFO282 | Knowledge Representation and Reasoning | 10 | 1–6 | 3 | ||||
| MAT101 | Elementary Calculus I | 10 | 1–6 | 1 | ||||
| MAT121 | Linear Algebra | 10 | 1–6 | 2 | ||||
| STAT110 | Basic Course in Statistics | 10 | 1–6 | 3 | ||||
| Veivalg | ||||||||
| Informasjonsvitenskap (krav 20 SP) | ||||||||
| Elective course | ||||||||
| Course code | Course title | SP | S | R | ||||
| INFO125 | Data Management | 10 | - | 6 | ||||
| INFO135 | Advanced Programming | 10 | - | 6 | ||||
| INFO215 | Web Science | 10 | - | 6 | ||||
| INFO216 | Knowledge Graphs | 10 | - | 6 | ||||
| Informatikk (krav 20 SP) | ||||||||
| Elective course | ||||||||
| Course code | Course title | SP | S | R | ||||
| INF227 | Introduction to Logic | 10 | - | 6 | ||||
| INF237 | Algorithms Engineering | 10 | - | 6 | ||||
| INF250 | Foundations of data-oriented visual computing | 10 | - | 6 | ||||
| INF265 | Deep Learning | 10 | - | 6 | ||||
| MAT111 | Calculus I | 10 | - | 6 | ||||
| STAT111 | Statistical Methods | 10 | - | 6 | ||||
| Alternativ spesialisering (krav 20 SP) | ||||||||
| Ønsker du alternativ til de to studierettningene søker du om dette til studieveileder innen starten på 4 semester | ||||||||
| Valgfrie emner (krav 30 SP) | ||||||||
| Vel fritt blant emne som til saman utgjer 30 studiepoeng. | ||||||||
| SP = ECTS credits, S = Semester, R = Recommended semester | ||||||||