Undergraduate courses
AI in Society (SIMS40) Autumn, 2022 – 15 credits. Course description (pdf)
Applied Machine Learning (EDAN95) Autumn, 2022 – 7,5 credits. Course description (pdf)
Applied Robotics (FRTF20) Autumn, 2022 – 7,5 credits. Course description (pdf)
Artificial Intelligence: An Intersectional Perspective (RÄSN12) Autumn, 2022 – 7.5 credits. Course description (pdf)
Artificial Intelligence (EDAP01) Spring, 2022 – 7,5 credits. Course description (pdf)
Bayesian Methods (STAE02) Autumn, 2022 – 7,5 credits. Course description (pdf)
Bioinformatics: Bioinformatics and Sequence Analysis (BINP11) Autumn, 2022 – 7,5 credits. Course description (pdf)
Bioinformatics: Programming in Python (BINP16) Autumn, 2022 – 7,5 credits. Course description (pdf)
Biology: Modelling Biological Systems (BIOS13) Autumn, 2022 – 7,5 credits. Course description (pdf)
Business Analytics (STAE03) Autumn, 2022 – 7,5 credits. Course description (pdf)
Business Processes and Artificial Intelligence (INFN65) Autumn, 2022 – 7,5 credits. Course description (pdf)
Cognitive Science: Neuro Modelling, Cognitive Robotics and Agents (KOGP05) Autumn, 2022 – 7,5 credits. Course description (pdf)
Cognitive Science: Theories and Models in Cognitive science (KOGP09) Autumn, 2022 – 7,5 credits. Course description (pdf)
Computational Approaches in the Social Sciences (SIMM71) PERIOD, YEAR – 7.5 credits. Course description (pdf)
Computer Vision (FMAN95) Spring, 2022 – 7,5 credits. Course description (pdf)
Digital Cultures: Theories - Introduction (DIKA11) Spring, 2022 – 7,5 credits. Course description (pdf)
Digitalisation and AI from an Organisational and Societal Perspective (INFA40) Autumn, 2022 – 7,5 credits. Course description (pdf)
European Data Protection Law ( HARG25) Autumn, 2022 – 15 credits. Course description (pdf)
European Patent Law ( JAEN61) Autumn, 2022 – 15 credits. Course description (pdf)
Finance: Financial Econometrics and Machine Learning (NEKN96) PERIOD, YEAR – 7.5 credits. Course description (pdf)
Health Law (JUCN32) Autumn, 2022 – 15 credits. Course description (pdf)
Intellectual Property, Digitalisation and Artificial Intelligence (HARN52) Autumn, 2022 – 7,5 credits. Course description (pdf)
Intelligent Autonomous Systems (EDAP20) Autumn, 2022 – 7,5 credits. Course description (pdf)
Introduction to Machine Learning, Systems and Control (FRTF25) Autumn, 2022 – 7,5 credits. Course description (pdf)
Language Technology (EDAN20) Autumn, 2022 – 7,5 credits. Course description (pdf)
Law and Artificial Intelligence (AI) (HARA35) Autumn, 2022 – 7,5 credits. Course description (pdf)
Learning-Based Control (FRTN75) Autumn, 2022 – 7,5 credits. Course description (pdf)
Linear and Combinatorial Optimization (FMAF35) Spring, 2022 – 6 credits. Course description (pdf)
Machine Learning (FMAN45) Spring, 2022 – 7,5 credits. Course description (pdf)
Mathematical Statistics: Linear and Logistic Regression (MASM22) Spring, 2022 – 7,5 credits. Course description (pdf)
Mathematical Statistics: Nonparametric Inference (MASM27) Spring, 2022 – 7,5 credits. Course description (pdf)
Mathematical Statistics: Spatial Statistics with Image Analysis (MASM25) Autumn, 2022 – 7,5 credits. Course description (pdf)
Mathematical Statistics: Time Series Analysis (MASM17) Autumn, 2022 – 7,5 credits. Course description (pdf)
Mathematics: Image Analysis (MATC20) Autumn, 2022 – 7,5 credits. Course description (pdf)
Medical Image Analysis (FMAN30) Autumn, 2022 – 7,5 credits. Course description (pdf)
Memory Technology for Machine Learning (EITP25) Spring, 2022 – 7,5 credits. Course description (pdf)
Modelling and Learning from Data (FRTN65) Autumn, 2022 – 7,5 credits. Course description (pdf)
Monte Carlo and Empirical Methods for Stochastic Inference (MASM11) Spring, 2022 – 7,5 credits. Course description (pdf)
Neuroengineering (BMEF20) , – 7,5 credits. Course description (pdf)
Numerical Analysis: Numerical Linear Algebra (NUMB11) Spring, 2022 – 7,5 credits. Course description (pdf)
Optimization for Learning (FRTN50) Autumn, 2022 – 7,5 credits. Course description (pdf)
Project in Systems, Control and Learning (FRTN70) , – 7,5 credits. Course description (pdf)
Public Relations (SKOP21) Autumn, 2022 – 7,5 credits. Course description (pdf)
Radar and Remote Sensing (EITN90) Spring, 2022 – 7,5 credits. Course description (pdf)
Satellite Remote Sensing (NGEN08) Spring, 2022 – 15 credits. Course description (pdf)
Service Robotics (TNSN01) Autumn, 2022 – 7,5 credits. Course description (pdf)
Smart City Governance: AI Ethics in a Spatial Context (VFTN75) PERIOD, YEAR – 7,5 credits. Course description (pdf)
Statistics: Advanced Machine Learning (STAN52) Autumn, 2022 – 7.5 credits. Course description (pdf)
Statistics: Deep Learning and Artificial Intelligence Methods (STAN47) Autumn, 2022 – 7,5 credits. Course description (pdf)
Statistics: Machine Learning from a Regression Perspective (STAN51) Autumn, 2022 – 7.5 credits. Course description (pdf)
Strategic Communication and digital media - Culture and Society (SKOB31) Autumn, 2022 – 7,5 credits. Course description (pdf)
Strategic Communication: AI, Cognition and Culture (KOMC30) Autumn, 2022 – 15 credits. Course description (pdf)
Taxation in the Digital Era (JUDN23) Autumn, 2022 – 15 credits. Course description (pdf)
Theoretical Physics: Introduction to Artificial Neural Networks and Deep Learning (FYTN14) Autumn, 2022 – 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.