Undergraduate courses
On this page you will find undergraduate course in AI given at Lund University. More information about the courses and whether they are open for registration can be found at: Kurser och program | Lunds universitet
Courses 2025
AI in Society (SIMS40) Autumn, 2025 – 15 credits. Course description (pdf)
AI and Digitization in the Archive Sector (ABMA21) Autumn, 2025 – 7,5 credits. Course description (pdf)
AI and Law (JXAA01) Autumn, 2025 – 5 credits. Course description (pdf)
AI-Driven Digital Marketing (BUSO23) Autumn, 2025 – 7,5 credits. Course description (pdf)
AI-Assisted Market Intelligence: Theory MeetsPractice (BUSO25) Autumn, 2025 – 7,5 credits. Course description (pdf)
Algorithms, Data Structures and Complexity (EDAF05) Spring, 2025 – 5 credits. Course description (pdf)
Archaeology and Ancient History: DigitalArchaeology, Virtual Reality in Archaeology (ARKN10) Spring, 2025 – 15 credits. Course description (pdf)
Archival Science: Physical and Digital Archives (ABMA15) Spring, 2025 – 15 credits. Course description (pdf)
Artificial Intelligence (EDAP01) Spring, 2025 – 7,5 credits. Course description (pdf)
Artificial Intelligence (TFRP20) Spring, 2025 – 7,5 credits. Course description (pdf)
Artificial Intelligence: An Intersectional Perspective (RÄSN12) Autumn, 2025 – 7,5 credits. Course description (pdf)
Augmented Reality - Interaction (MAMN60) Spring, 2025 – 7,5 credits. Course description (pdf)
Advanced Applied Machine Learning (EDAP30) Spring, 2025 – 7,5 credits. Course description (pdf)
Biology: Processing and Analysis of Biological Data (BIOS15) Autumn, 2025 – 7,5 credits. Course description (pdf)
Computational Science: Introduction to Artificial Neural Networks and Deep Learning (BERN04) Autumn, 2025 – 7,5 credits. Course description (pdf)
Computational Science: Reproducible Data Science and Statistical Learning (BERN02) Autumn, 2025 – 7,5 credits. Course description (pdf)
Decision Support Systems (INFC35) Autumn, 2025 – 7,5 credits. Course description (pdf)
Biophysical Chemistry (KFKN10) Autumn, 2025 – 7,5 credits. Course description (pdf)
Bioinformatics: Bioinformatics and Sequence Analysis (BINP11) Spring, 2025 – 7,5 credits. Course description (pdf)
Bioinformatics: DNA Sequencing Informatics I (BINP28) Spring, 2025 – 7,5 credits. Course description (pdf)
Bioinformatics: DNA Sequencing Informatics II (BINP29) Spring, 2025 – 7,5 credits. Course description (pdf)
Bioinformatics: Master´s Degree Project (BINP50) Autumn, 2025 – 30 credits. Course description (pdf)
Bioinformatics: Master´s Degree Project (BINP51) Spring, 2025 – 45 credits. Course description (pdf)
Bioinformatics: Master´s Degree Project (BINP52) Spring, 2025 – 60 credits. Course description (pdf)
Bioinformatics: Research Project (BINP37) Spring, 2025 – 15 credits. Course description (pdf)
Bioinformatics: Applied Work (BINP38) Spring, 2025 – 15 credits. Course description (pdf)
Bioinformatics: Applied Work (BINP36) , 2025 – 7,5 credits. Course description (pdf)
Bioinformatics: Programming in Python (BINP16) Autumn, 2025 – 7,5 credits. Course description (pdf)
Biology: Modelling Biological Systems (BIOS13) Autumn, 2025 – 7,5 credits. Course description (pdf)
Biology: Molecular Genetics of Eukaryotes (BIOR49) Autumn, 2025 – 15 credits. Course description (pdf)
Biology: Plant Function (BIOR76) Autumn, 2025 – 15 credits. Course description (pdf)
Biological Modelling (EXTG11) Spring, 2025 – 4 credits. Course description (pdf)
Biological Systems (EXTQ20) Spring, 2025 – 7,5 credits. Course description (pdf)
Biomedicine: Molecular and Experimental Neurobiology (BIMM22) Spring, 2025 – 7,5 credits. Course description (pdf)
Cultural Perspectives on Health, Lifestyle and Medicin (SASH61) Spring, 2025 – 7,5 credits. Course description (pdf)
Data Governance: Legal Aspects of Data-driven Business Models and Innovation (HARG26) Autumn, 2025 – 15 credits. Course description (pdf)
Data Analytics and Business Economics: Advanced Machine Learning, (DABN14) , 2025 – 7,5 credits. Course description (pdf)
Data Analytics and Business Economics: Legal Aspects of Data Analytics (DABN18) Autumn, 2025 – 4 credits. Course description (pdf)
Data Analytics and Business Economics: MachineLearning from a Regression Perspective (DABN13) Autumn, 2025 – 7,5 credits. Course description (pdf)
Data-driven Health (BMEN35) Autumn, 2025 – 7,5 credits. Course description (pdf)
Computational content analysis for the social sciences (SIMM71) Autumn, 2025 – 7,5 credits. Course description (pdf)
Computer Vision (FMAN95) Spring, 2025 – 7,5 credits. Course description (pdf)
Smart City Governance: AI Ethics in a Spatial Context (VFTN75) Spring, 2025 – 7,5 credits. Course description (pdf)
Smart City Governance: AI Ethics in a Spatial Context (TFRP60) Autumn, 2025 – 7,5 credits. Course description (pdf)
The Data-driven Society: Social, Political, and Ethical Aspects of Datafication (TFRE65) Autumn, 2025 – 3 credits. Course description (pdf)
Philosophy of Mind and Design (EXTF76) Autumn, 2025 – 5 credits. Course description (pdf)
Digital History (DIKM01) Autumn, 2025 – 7,5 credits. Course description (pdf)
Digital Accessibility (TNSN05) , 2025 – 7,5 credits. Course description (pdf)
Digital Cultures: Theories - Specialisation I, Contexts (DIKA31) Autumn, 2025 – 7,5 credits. Course description (pdf)
Digital Cultures: Theories - Introduction (DIKA11) Autumn, 2025 – 7,5 credits. Course description (pdf)
Digitalization of Process Systems (KETN40) Spring, 2025 – 7,5 credits. Course description (pdf)
Digital Cultural Heritage, (ABMF10) Autumn, 2025 – 7,5 credits. Course description (pdf)
Discrete Structures (EDAA75) Spring, 2025 – 7,5 credits. Course description (pdf)
Discrete Structures in Computer Science (EDAA40) Spring, 2025 – 5 credits. Course description (pdf)
Drone Applications in the EASA Specific Category (TFRH05) Spring, 2025 – 15 credits. Course description (pdf)
English: Opportunities and Limitations of AI Tools in Language Studies (ENGC15) Autumn, 2025 – 7,5 credits. Course description (pdf)
EU Law and Policy on AI, Big Data and Digitalization (JAEN67) Autumn, 2025 – 15 credits. Course description (pdf)
European Patent Law (JAEN61) Autumn, 2025 – 15 credits. Course description (pdf)
Extended Reality (XR) - Continuation Course (MAMN65) Spring, 2025 – 7,5 credits. Course description (pdf)
Finance: Financial Econometrics and Machine Learning (NEKN96) Autumn, 2025 – 7,5 credits. Course description (pdf)
Finance: Financial Econometrics and Machine Learning (NFIN96) Autumn, 2025 – 7,5 credits. Course description (pdf)
Physics: Applied Computational Physics and Machine Learning (FYSN33) Autumn, 2025 – 7,5 credits. Course description (pdf)
Business Administration: Digital Accounting (BUSO67) Autumn, 2025 – 5 credits. Course description (pdf)
Business Administration: Bachelor Course inBusiness and Data Analytics (FEKH31) Autumn, 2025 – 15 credits. Course description (pdf)
GIS: Digital Remote Sensing and GIS (GISN08) Autumn, 2025 – 7,5 credits. Course description (pdf)
GIS: Geographical Information System for the Social Sciences - Introduction with Applications (SGEG20) Spring, 2025 – 30 credits. Course description (pdf)
Sustainable AI? Social and Environmental Impacts of Artificial Intelligence (TFRH21) Autumn, 2025 – 7,5 credits. Course description (pdf)
Intellectual Property, Digitalisation and Artificial Intelligence (HARN52) Autumn, 2025 – 7,5 credits. Course description (pdf)
Informatics: Artificial Intelligence in Business - Concepts, Applications and Challenges (INFA45) Spring, 2025 – 7,5 credits. Course description (pdf)
Informatics: Digitalisation and AI from an Organisational and Societal Perspective (INFA40) Autumn, 2025 – 7,5 credits. Course description (pdf)
Informatics: Generative Artificial Intelligence in Information Systems (INFA46) Autumn, 2025 – 3 credits. Course description (pdf)
Informatics: Information Systems and Business Development (SYSB23) Autumn, 2025 – 30 credits. Course description (pdf)
Informatics: Introduction to Large Language Models (INFA50) Spring, 2025 – 2 credits. Course description (pdf)
Informatics: IT Architecture and Software Systems (SYSB24) Spring, 2025 – 30 credits. Course description (pdf)
Informatics: Business and Artificial Intelligence (INFN65) Spring, 2025 – 7,5 credits. Course description (pdf)
Introduction to Programming Using Python (EDAA70) Spring, 2025 – 7,5 credits. Course description (pdf)
Learning-Based Control (FRTN75) Spring, 2025 – 7,5 credits. Course description (pdf)
Intelligent Autonomous Systems (EDAP20) Autumn, 2025 – 7,5 credits. Course description (pdf)
Introduction to Artificial Neural Networks and Deep Learning (EXTQ41) Autumn, 2025 – 7,5 credits. Course description (pdf)
Introduction to Machine Learning, Systems and Control (FRTF25) Autumn, 2025 – 7,5 credits. Course description (pdf)
Introduction to Biomedical Engineering (EITA01) Autumn, 2025 – 12 credits. Course description (pdf)
IT, Innovation and Sustainability (INFN25) Autumn, 2025 – 7,5 credits. Course description (pdf)
Chemistry of the Cell (MOBA02) Autumn, 2025 – 15 credits. Course description (pdf)
Chemistry: Experimental Protein Chemistry (KEMC03) Autumn, 2025 – 15 credits. Course description (pdf)
Knowledge Work and Organization (BUSN40) Autumn, 2025 – 7,5 credits. Course description (pdf)
Cognitive Science: Neuro Modelling, Cognitive Robotics and Agents (KOGP05) Autumn, 2025 – 7,5 credits. Course description (pdf)
Cognitive Science: Theories and Models in Cognitive Science (KOGP09) Autumn, 2025 – 7,5 credits. Course description (pdf)
Management: Digitalization and Global Challenges (MGTO26) Spring, 2025 – 5 credits. Course description (pdf)
Machine Learning (FMAN45) Autumn, 2025 – 7,5 credits. Course description (pdf)
Machine Learning for Energy Engineers (MVKP30) Autumn, 2025 – 7,5 credits. Course description (pdf)
Machine Learning for Internet of Things (IoT) (EITP40) Autumn, 2025 – 7,5 credits. Course description (pdf)
Machine Learning in Computational Mechanics (FHLN40) Autumn, 2025 – 7,5 credits. Course description (pdf)
Mathematics: Image Analysis (MATC20) Autumn, 2025 – 7,5 credits. Course description (pdf)
Mathematical Statistics (FMSF30) Autumn, 2025 – 5 credits. Course description (pdf)
Mathematical Statistics (FMSF70) Autumn, 2025 – 7,5 credits. Course description (pdf)
Mathematical Statistics, Basic Course (FMSF20) Autumn, 2025 – 7,5 credits. Course description (pdf)
Mathematical Statistics, Basic Course (FMSF50) Autumn, 2025 – 7,5 credits. Course description (pdf)
Mathematical Statistics, Basic Course (FMSF75) Autumn, 2025 – 7,5 credits. Course description (pdf)
Mathematical Statistics: Nonparametric Inference (MASM27) Spring, 2025 – 7,5 credits. Course description (pdf)
Mathematical Statistics: Spatial Statistics with Image Analysis (MASM25) Autumn, 2025 – 7,5 credits. Course description (pdf)
Stationary and Non-stationary Spectral Analysis (MASM26) Spring, 2025 – 7,5 credits. Course description (pdf)
Mathematical Statistics: Statistical Modelling ofExtreme Values (MASM15) Spring, 2025 – 7,5 credits. Course description (pdf)
Medical Image Analysis (FMAN30) Autumn, 2025 – 7,5 credits. Course description (pdf)
Biomedical Signal Processing (BMEN01) Spring, 2025 – 7,5 credits. Course description (pdf)
Memory Technology for Machine Learning (EITP25) Autumn, 2025 – 7,5 credits. Course description (pdf)
Modelling and Learning from Data (FRTN65) Autumn, 2025 – 7,5 credits. Course description (pdf)
Museology: Physical and Digital Museums (ABMA19) Spring, 2025 – 15 credits. Course description (pdf)
Human - Computer Interaction, Analysis (INFC25) Autumn, 2025 – 7,5 credits. Course description (pdf)
Physical Geography: Geospatial Artificial Intelligence (NGEN27) Autumn, 2025 – 7,5 credits. Course description (pdf)
Neuroengineering (BMEN30) Spring, 2025 – 7,5 credits. Course description (pdf)
Numerical Analysis: Advanced Course inNumerical Algorithms with Python/SciPy (NUMN21) Autumn, 2025 – 7,5 credits. Course description (pdf)
Optimization for Learning (FRTN50) Autumn, 2025 – 7,5 credits. Course description (pdf)
Perspectives on Segmental and Prosodic Phonology (LINC13) Spring, 2025 – 7,5 credits. Course description (pdf)
Perspectives on Safety, Security and Resilience in Society (TFRU25) Spring, 2025 – 3 credits. Course description (pdf)
Project in Computer Science (EDAN70) Autumn, 2025 – credits. Course description (pdf)
Project in Systems, Control and Learning (FRTN70) Autumn, 2025 – 7,5 credits. Course description (pdf)
Project in Applied Mathematics (FMAN40) Spring, 2025 – 3 credits. Course description (pdf)
Psychology: Artificial Intelligence and Psychology (PSYE61) Autumn, 2025 – 15 credits. Course description (pdf)
Radar and Remote Sensing (EITN90) Spring, 2025 – 7,5 credits. Course description (pdf)
Real-Time Systems (FRTN01) Spring, 2025 – 10 credits. Course description (pdf)
Responsible and Ethical Use of AI Tools in Teaching and Learning (ENGC19) Autumn, 2025 – 3 credits. Course description (pdf)
Robots in Society: Past, Present and Future (KOGB02) Autumn, 2025 – 3 credits. Course description (pdf)
Geospatial Artificial Intelligence (EXTQ60) Spring, 2025 – 7,5 credits. Course description (pdf)
Satellite Remote Sensing (NGEN24) Spring, 2025 – 15 credits. Course description (pdf)
Service Robotics (TNSN01) Autumn, 2025 – 7,5 credits. Course description (pdf)
Smart Manufacturing (TFRP90) Spring, 2025 – 5 credits. Course description (pdf)
Social AI Through the Looking Glass (SASH92) Autumn, 2025 – 7,5 credits. Course description (pdf)
Language Technology (EDAN20) Autumn, 2025 – 7,5 credits. Course description (pdf)
Language Technology (EDAN20) Autumn, 2025 – 7,5 credits. Course description (pdf)
Statistics: Business Analytics (STAE03) Spring, 2025 – 7,5 credits. Course description (pdf)
Statistics: Analysis of Textual Data (STAN49) Spring, 2025 – 7,5 credits. Course description (pdf)
Statistics: Advanced Machine Learning (STAN52) Autumn, 2025 – 7,5 credits. Course description (pdf)
Statistics: Bayesian Methods (STAE02) Autumn, 2025 – 7,5 credits. Course description (pdf)
Statistics: Deep Learning and Artificial Intelligence Methods (STAN47) Spring, 2025 – 7,5 credits. Course description (pdf)
Statistics: High-dimensional Data Analysis (STAN53) Autumn, 2025 – 7,5 credits. Course description (pdf)
Statistics: Machine Learning from a Regression Perspective (STAN51) Autumn, 2025 – 7,5 credits. Course description (pdf)
Statistics: Programming for Data Science (STAN48) Autumn, 2025 – 7,5 credits. Course description (pdf)
Statistics: Data Visualisation (STAE04) Spring, 2025 – 4 credits. Course description (pdf)
Political Science: AI and Democracy (STVD01) Autumn, 2025 – 3 credits. Course description (pdf)
Strategic Communication and digital media - Culture and Society (SKOB31) Autumn, 2025 – 7,5 credits. Course description (pdf)
Public Relations (SKOP21) Autumn, 2025 – 7,5 credits. Course description (pdf)
Strategic Management and IS (INFN40) Autumn, 2025 – 7,5 credits. Course description (pdf)
Structural Biochemistry (KEMM25) Autumn, 2025 – 15 credits. Course description (pdf)
Theoretical Physics: Introduction to Artificial Neural Networks and Deep Learning (FYTN14) Autumn, 2025 – 7,5 credits. Course description (pdf)
Applied Robotics for Architects (FRTN80) Spring, 2025 – 7,5 credits. Course description (pdf)
Applied Machine Learning (EDAN96) Spring, 2025 – 7,5 credits. Course description (pdf)
Data Selection and Visualisation (SIMP59) Spring, 2025 – 7,5 credits. Course description (pdf)
Virtual Reality in Theory and Practice (MAMF45) Autumn, 2025 – 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.
Read the final report from the project (PDF)