Course of study
Structure of Bachelor's Programme in Artificial Intelligence
Innføringsemner | |||||||||
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 | 3–8 | 3 | |||||
EXPHIL-SVSEM | Examen Philosophicum | 10 | 3–8 | 3 | |||||
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 | |||||
Spesialisering | |||||||||
Obligatoriske emner (krav 100 SP) | |||||||||
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 | |||||
MAT105 | Matematikk for naturvitenskap | 10 | 1–6 | 1 | |||||
MAT121 | Linear Algebra | 10 | 1–6 | 2 | |||||
Studieretning | |||||||||
Spesialisering i informatikk (krav 30 SP) | |||||||||
Choose three courses | |||||||||
Course code | Course title | SP | S | R | |||||
INF122 | Functional Programming | 10 | 1–6 | 5 | |||||
INF140 | Introduction to Cybersecurity | 10 | 1–6 | 5 | |||||
INF161 | Introduction to Data Science | 10 | 1–6 | 5 | |||||
INF170 | Modelling and Optimization | 10 | 1–6 | 5 | |||||
INF207 | Social Networks Theory | 10 | 1–6 | 5 | |||||
INF227 | Introduction to Logic | 10 | 1–6 | 6 | |||||
INF237 | Algorithms Engineering | 10 | 1–6 | 6 | |||||
INF250 | Foundations of data-oriented visual computing | 10 | 1–6 | 6 | |||||
INF265 | Deep Learning | 10 | 1–6 | 6 | |||||
MAT111 | Calculus I | 10 | 1–6 | 5 | |||||
STAT110 | Basic Course in Statistics | 10 | 1–6 | 5 | |||||
STAT111 | Statistical Methods | 10 | 1–6 | 6 | |||||
STAT220 | Stochastic Processes | 10 | 1–6 | 5 | |||||
Spesialisering i informasjonsvitenskap (krav 30 SP) | |||||||||
Choose three courses | |||||||||
Course code | Course title | SP | S | R | |||||
INF207 | Social Networks Theory | 10 | 1–6 | 5 | |||||
INFO125 | Data Management | 10 | 1–6 | 5 | |||||
INFO135 | Advanced Programming | 10 | 1–6 | 6 | |||||
INFO207 | Social Networks Theory | 10 | 1–6 | 5 | |||||
INFO215 | Web Science | 10 | 1–6 | 6 | |||||
INFO216 | Knowledge Graphs | 10 | 1–6 | 6 | |||||
Alternativ spesialisering (krav 30 SP) | |||||||||
Ønsker du alternativ til de to studierettningene søker du om dette til studieveileder innen starten på 4 semester | |||||||||
Student Exchange | |||||||||
Elective course | |||||||||
Utveksling, ett semester | |||||||||
Valgfrie emner (krav 30 SP) | |||||||||
Vel fritt blant emne som til saman utgjer 30 studiepoeng. | |||||||||
SP = ECTS credits, S = Semester, R = Recommended semester |