Large selection of AI-related courses open up new possibilities for students from diverse disciplines
The host universities of FCAI offer a wide range of courses related to artificial intelligence and machine learning.
AI-related courses help students acquire skills required to work in the field. We made our own list list of the very large selection, choose your favourite from the list below.
Remember that if you are a student in either university you can apply for study permission to take courses at the other university through the Flexible Study Right (JOO) agreement.
The guidelines to apply for Flexible Study Right are here:
Read more about studying AI here.
AI-related courses in the Aalto University
CS-C1000 Introduction to Artificial Intelligence
CS-C3240 Machine Learning
CS-E3220 Declarative Programming
CS-E4075 Special Course in Machine Learning, Data Science and Artificial Intelligence
CS-E4650 Methods of Data Mining
CS-E4710 Machine Learning: Supervised Methods
CS-E4800 Artificial Intelligence
CS-E4820 Machine Learning: Advanced Probabilistic Methods
CS-E4830 Kernel Methods in Machine Learning
CS-E4850 Computer Vision
CS-E4875 Research Project in Machine Learning, Data Science and Artificial Intelligence
CS-E4880 Machine Learning in Bioinformatics
CS-E4890 Deep Learning
CS-E5710 Bayesian Data Analysis
CS-E5870 High-throughput bioinformatics
CS-E5880 Modeling biological networks
CS-E5890 Statistical genetics and personalized medicine
CS-EE4675 Systems of Systems
CS-EJ3211 Machine Learning with Python
CS-EJ3311 Deep Learning with Python
DOM-E5129 Intelligent Computational Media
DOM-E5132 Deep Learning with Audio
ELEC-D1320 Robotics
ELEC-E5422 Convex optimization I
ELEC-E5423 Convex optimization II
ELEC-E5431 Large scale data analysis
ELEC-E5440 Statistical Signal Processing
ELEC-E5510 Speech Recognition
ELEC-E5521 Speech and Language Processing Methods
ELEC-E5550 Statistical Natural Language Processing
ELEC-E7260 Machine Learning for Mobile and Pervasive systems
ELEC-E7851 Computational User Interface Design
ELEC-E8101 Digital and Optimal Control
ELEC-E8106 Bayesian Filtering and Smoothing
ELEC-E8111 Autonomous Mobile Robots
ELEC-E8125 Reinforcement Learning
ELEC-E8126 Robotic Manipulation
ELEC-E8739 AI in health technologies
ELEC-E8740 Basics of Sensor Fusion
ELEC-E8743 Neurorobotics
MS-C1620 Statistical Inference
MS-E2112 Multivariate Statistical Analysis
MS-E2134 Decision Making and Problem Solving
PHYS-E0547 Machine Learning for Materials Science
UWAS-C0025 Art and Artificial Intelligence
30E03000 Data Science for Business I
30E03500 Data Science for Business II
37C00100 Management Information Systems
37E00100 Information Economy
57E00500 Capstone: Business Intelligence
AI-related courses in the University of Helsinki
CSM12101 Design and Analysis of Algorithms
CSM12102 String Processing Algorithms
CSM12103 Data Compression Techniques
CSM12104 Randomized Algorithms I
CSM12106 Approximation Algorithms
CSM12107 Combinatorial Optimization
CSM12114 Automated Logical Reasoning
CSM13105 Introduction to Internet of Things
CSM13107 Pervasive Data Science
CSM13401 Human Computer Interaction
DATA11001 Introduction to Data Science
DATA11002 Introduction to Machine Learning
DATA11003 Distributed Data Infrastructures
DATA12001 Advanced Course in Machine Learning
DATA12002 Probabilistic Graphical Models
DATA14002 Introduction to Big Data Management
DATA14003 Big Data Platforms
DATA15001 Introduction to Artificial Intelligence
DATA15002 Computational Creativity
DATA15003 Interactive Data Visualization
DATA16001 Network Analysis
DATA20001 Deep Learning
DATA20007 Educational Data Mining
DATA20015 Natural Language Processing
DATA20016 Computer Vision
DATA20019 Trustworthy Machine Learning
DATA20021 Information Retrieval
DATA20023 Bayesian Machine Learning
DATA20024 Computational Cognitive Neuroscience
DATA20027 Advanced Course in Deep Learning
IBL-330 Writing Seminar: Artificial Intelligence and the Law
LDA-C5003 Cognitive Modelling Concepts
LDA-C504 Introduction to Philosophy of Mind and Artificial Intelligence
LDA-C307 Philosophy of Artificial Intelligence
LDA-C5010 Perception Communication and Cognition
LDA-C505 Ethics of Artificial Intelligence
LDA-C506 Cognition and Brain Function
LDA-T308 Introduction to Deep Learning
LDA-T305 Models and Algorithms in NLP Applications
LDA-T306 Machine Translation
LDA-T501 Introduction to Natural Language Processing
LSI31001 Algorithms for Bioinformatics
LSI31003 Machine Learning in Molecular Biology
LSI31004 Research Seminar on Machine Learning for Fossil Data Analysis
LSI34003 Phylogeny Inference and Data-Analysis
LSI34004 Statistical Population Genetics
LSI34006 Event-History Analysis
LSI34007 Modelling Molecular Evolution
LSI35002 Bayesian Inference in Biosciences
LSI35003 Project Work in Eco-Evolutionary Informatics
LSI35001 Modelling Ecology and Evolution
LSI36001 Clinical Data Mining
MAT22005 Bayesian Inference
MAST32001 Computational Statistics I
MAST32004 Advanced Course in Bayesian Statistics
MAST32005 Spatial Modelling and Bayesian Inference
MAST32006 High Dimensional Statistics
MAST32007 Time Series Analysis I
MAST32008 Time Series Analysis II
MAST32012 Survival and Event History Analysis I
MAST32013 Survival and Event History Analysis II
Something missing? Please let us know by emailing us at contact at fcai.fi.
Last updated October 13, 2020.