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An open network for research, education and innovation in the area of Artificial Intelligence at Lund University

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AI & ML related courses at Lund University

The undergraduate courses listed below are selected based on results from an internal project at Lund university that run during the period 2019-2021. 

Read, view and listen to the project method and results at ai.lu.se/tv/.

Some of the courses are only given to students in certain educational programmes.

Please also check out previous and planned courses at the COMPUTE research school at compute.lu.se.

Undergraduate courses

Bioinformatics: Bioinformatics and Sequence Analysis (BINP11) Autumn, 2021 – 7,5 credits. Course description (pdf)

Biology: Modelling Biological Systems (BIOS13) Autumn, 2021 – 7,5 credits. Course description (pdf)

Artificial Intelligence (EDAP01) Spring, 2021 – 7,5 credits. Course description (pdf)

Digitalisation and AI from an Organisational and Societal Perspective (INFA40) Autumn, 2021 – 7,5 credits. Course description (pdf)

Decision Support Systems (INFC35) Autumn, 2021 – 7,5 credits. Course description (pdf)

Business Processes and Artificial Intelligence (INFN65) Autumn, 2021 – 7,5 credits. Course description (pdf)

Law and Artificial Intelligence (AI) (HARA35) Autumn, 2021 – 7,5 credits. Course description (pdf)

Cognitive Science: Neuro Modelling, Cognitive Robotics and Agents (KOGP05) Autumn, 2021 – 7,5 credits. Course description (pdf)

Cognitive Science: Theories and Models in Cognitive science (KOGP09) Autumn, 2021 – 7,5 credits. Course description (pdf)

Mathematics: Image Analysis (MATC20) Autumn, 2021 – 7,5 credits. Course description (pdf)

Mathematical Statistics: Spatial Statistics with Image Analysis (MASM25) Autumn, 2021 – 7,5 credits. Course description (pdf)

Statistics: Data Mining and Visualization (STAN45) Autumn, 2021 – 7,5 credits. Course description (pdf)

Statistics: Deep Learning and Artificial Intelligence Methods (STAN47) Autumn, 2021 – 7,5 credits. Course description (pdf)

Theoretical Physics: Introduction to Artificial Neural Networks and Deep Learning (FYTN14) Autumn, 2021 – 7,5 credits. Course description (pdf)

Strategic Communication: AI, Cognition and Culture (KOMC30) Autumn, 2021 – 15 credits. Course description (pdf)

AI in Society (SIMS40) Autumn, 2021 – 15 credits. Course description (pdf)

Language Technology (EDAN20) Autumn, 2021 – 7,5 credits. Course description (pdf)

Applied Machine Learning (EDAN95) Autumn, 2021 – 7,5 credits. Course description (pdf)

Radar and Remote Sensing (EITN90) Spring, 2021 – 7,5 credits. Course description (pdf)

Memory Technology for Machine Learning (EITP25) Spring, 2021 – 7,5 credits. Course description (pdf)

Biological Modelling (EXTG11) Spring, 2021 – 4 credits. Course description (pdf)

Linear and Combinatorial Optimization (FMAF35) Spring, 2021 – 6 credits. Course description (pdf)

Medical Image Analysis (FMAN30) Autumn, 2021 – 7,5 credits. Course description (pdf)

Machine Learning (FMAN45) Spring, 2021 – 7,5 credits. Course description (pdf)

Applied Robotics (FRTF20) Autumn, 2021 – 7,5 credits. Course description (pdf)

Optimization for Learning (FRTN50) Autumn, 2021 – 7,5 credits. Course description (pdf)

Service Robotics (TNSN01) Autumn, 2021 – 7,5 credits. Course description (pdf)

Bioinformatics: Programming in Python (BINP16) Autumn, 2021 – 7,5 credits. Course description (pdf)

Mathematical Statistics: Linear and Logistic Regression (MASM22) Spring, 2021 – 7,5 credits. Course description (pdf)

Satellite Remote Sensing (NGEN08) Spring, 2021 – 15 credits. Course description (pdf)

Finance: Financial Econometrics (NEKN92) Autumn, 2021 – 7,5 credits. Course description (pdf)

Business Law: Legal Aspects on Artificial Intelligence (HARA30) Autumn, 2021 – 7,5 credits. Course description (pdf)

Introduction to Machine Learning, Systems and Control (FRTF25) Autumn, 2021 – 7,5 credits. Course description (pdf)

Modelling and Learning from Data (FRTN65) Autumn, 2021 – 7,5 credits. Course description (pdf)

Monte Carlo and Empirical Methods for Stochastic Inference (MASM11) Spring, 2021 – 7,5 credits. Course description (pdf)

Mathematical Statistics: Time Series Analysis (FMSN45) Autumn, 2021 – 7,5 credits. Course description (pdf)

Intelligent Autonomous Systems (EDAP20) Autumn, 2021 – 7,5 credits. Course description (pdf)

Mathematical Statistics: Nonparametric Inference (MASM27) Spring, 2021 – 7,5 credits. Course description (pdf)

Computer Vision (FMAN95) Spring, 2021 – 7,5 credits. Course description (pdf)

Business Analytics (STAE03) Autumn, 2021 – 7,5 credits. Course description (pdf)

Digital Cultures: Theories - Introduction (DIKA11) Spring, 2021 – 7,5 credits. Course description (pdf)

Smart City Governance: AI Ethics in a Spatial Context (VFTN75) , – 7,5 credits. Course description (pdf)

Bayesian Methods (STAE02) Autumn, 2021 – 7,5 credits. Course description (pdf)

Strategic Communication and digital media - Culture and Society (SKOB31) Autumn, 2021 – 7,5 credits. Course description (pdf)

Public Relations (SKOP21) Autumn, 2021 – 7,5 credits. Course description (pdf)

Intellectual Property, Digitalisation and Artificial Intelligence (HARN52) Autumn, 2021 – 7,5 credits. Course description (pdf)