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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

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

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

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

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

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

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

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

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

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

Digital Cultures: Theories - Introduction (DIKA11) 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)

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)

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

Introduction to Machine Learning, Systems and Control (FRTF25) 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)

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)

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

Linear and Logistic Regression with Data Gathering (FMSN40) Spring, 2021 – 9 credits. Course description (pdf)

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

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

Mathematical Statistics: Time Series Analysis (MASM17) Autumn, 2021 – credits. Course description (pdf)

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

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

Physical Geography: Remote Sensing and GIS with Focus on the Environment (NGEA05) Spring, 2021 – 15 credits. Course description (pdf)

(MASM27) Spring, 2021 – credits. Course description (pdf)

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

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

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

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

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

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

Stationary and Non-stationary Spectral Analysis (MASM26) Spring, 2021 – 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)

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

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

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

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