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Undergraduate courses

AI in Society (SIMS40) 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)

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

Bayesian Methods (STAE02) 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)

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

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

Business Processes and Artificial Intelligence (INFN65) 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)

Computer Vision (FMAN95) Spring, 2021 – 7,5 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)

European Data Protection Law ( HARG25) Autumn, 2021 – 15 credits. Course description (pdf)

European Patent Law ( JAEN61) Autumn, 2021 – 15 credits. Course description (pdf)

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

Health Law (JUCN32) Autumn, 2021 – 15 credits. Course description (pdf)

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

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

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

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

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

Linear and Combinatorial Optimization (FMAF35) Spring, 2021 – 6 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: Nonparametric Inference (MASM27) Spring, 2021 – 7,5 credits. Course description (pdf)

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

Mathematical Statistics: Time Series Analysis (MASM17) Autumn, 2021 – 7,5 credits. Course description (pdf)

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

Neuroengineering (BMEF20) ,  – 7,5 credits. Course description (pdf)

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

Project in Systems, Control and Learning (FRTN70) ,  – 7,5 credits. Course description (pdf)

Public Relations (SKOP21) 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)

Smart City Governance: AI Ethics in a Spatial Context (VFTN75) ,  – 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)

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

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

Taxation in the Digital Era (JUDN23) Autumn, 2021 – 15 credits. Course description (pdf)

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

The undergraduate courses listed here 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 Lund TV.

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