| QNI-AVM |
Adiabatic computing and variational methods |
6 |
| QNIE-AVM |
Adiabatic computing and variational methods |
6 |
| NI-ADM |
Data Mining Algorithms |
5 |
| NI-BML |
Bayesian Methods for Machine Learning |
5 |
| NIE-VYC |
Computability |
4 |
| NIE-MVI |
Computational Intelligence Methods |
5 |
| NIE-ADM |
Data Mining Algorithms |
5 |
| NI-DDM |
Distributed Data Mining |
4 |
| NI-GLR |
Games and reinforcement learning |
4 |
| NI-GNN |
Graph Neural Networks |
4 |
| NI-HMI2 |
History of Mathematics and Informatics |
3 |
| NIE-HMI |
History of Mathematics and Informatics |
3 |
| NIE-TIN |
Information Theory |
6 |
| NI-IKM |
Internet and Classification Methods |
4 |
| QNI-QOM |
Quantum Optics, Metrology, Sensing and Imaging |
5 |
| QNI-QML |
Quantum machine learning |
5 |
| QNIE-QC1 |
Quantum Computation 1 |
6 |
| QNI-QC1 |
Quantum Computation 1 |
6 |
| QNIE-QC2 |
Quantum Computing 2 |
6 |
| QNI-QC2 |
Quantum Computing 2 |
6 |
| NI-LSM |
Statistical Modelling Lab |
5 |
| NI-LSM2 |
Statistical Modelling Lab |
5 |
| ANIE-MLM |
Machine Learning Methods |
5 |
| NI-MSI |
Mathematical Structures in Computer Science |
4 |
| NI-MPI |
Mathematics for Informatics |
7 |
| QNIE-MQI |
Mathematics for Quantum Informatics |
6 |
| QNI-MQI |
Mathematics for Quantum Informatics |
6 |
| NI-MZI |
Mathematics for data science |
4 |
| NIE-MPI |
Mathematics for Informatics |
7 |
| ANI-MLM |
Machine Learning Methods |
5 |
| NI-MVI |
Computational Intelligence Methods |
5 |
| UNIK-MTUI |
Modern technology and artificial intelligence |
5 |
| UNI-MTUI |
Modern technology and artificial intelligence |
5 |
| NI-NLM |
Neural Language Models |
5 |
| NI-NMS |
Neural Networks, Machine Learning and Randomness |
4 |
| NI-NMS.26 |
Neural Networks, Machine Learning and Randomness |
5 |
| QNIE-NMK |
Numerical methods for quantum computation |
5 |
| QNI-NMK |
Numerical methods for quantum computation |
5 |
| NI-NAH |
Random processes |
5 |
| QNIE-OQC |
Optical quantum computing |
5 |
| QNI-OQC |
Optical quantum computing |
5 |
| QNI-OVV |
Optimization for Scientific Computing |
5 |
| QNIE-OVV |
Optimization for Scientific Computing |
5 |
| NIE-PML |
Personalized Machine Learning |
5 |
| NI-EDW |
Enterprise Data Warehouse Systems |
5 |
| QNI-PMO |
Advanced Optimization Methods / Conic Optimization |
6 |
| NI-AML |
Advanced machine learning |
5 |
| NIE-PDL |
Practical Deep Learning |
5 |
| NI-PDD |
Data Preprocessing |
5 |
| QNIE-QOM |
Quantum Optics, Metrology, Sensing and Imaging |
5 |
| QNIE-QEC |
Quantum error correction |
5 |
| QNI-QEC |
Quantum error correction |
5 |
| QNIE-QML |
Quantum machine learning |
5 |
| QNIE-PON |
Selected Topics in Optimization and Numerical mathematics |
5 |
| NIE-VSM |
Selected statistical Methods |
7 |
| NI-SZ1 |
Knowledge Engineering Seminar Master I |
4 |
| NI-SZ2 |
Knowledge Engineering Seminar Master II |
4 |
| NI-SCR |
Statistical Analysis of Time Series |
5 |
| NI-SCRS |
Statistical Analysis of Time Series - Seminar |
1 |
| ANIE-SAI |
Statistics for Applied Informatics |
5 |
| ANI-SAI |
Statistics for Applied Informatics |
5 |
| NI-MLP |
Machine Learning in Practice |
5 |
| NI-TIN |
Information Theory |
6 |
| QNIE-TIN |
Information Theory |
6 |
| QNI-TIN |
Information Theory |
6 |
| NI-TKA |
Category Theory |
4 |
| NI-TNN |
Theory of Neural Networks |
5 |
| NI-TNN.25 |
Theory of Neural Networks |
4 |
| NI-UMI |
Artificial intelligence |
5 |
| NI-UMI.26 |
Artificial intelligence |
6 |
| NI-PON |
Selected Topics in Optimization and Numerical mathematics |
5 |
| QNI-PON |
Selected Topics in Optimization and Numerical mathematics |
5 |
| NI-VSM |
Selected statistical Methods |
7 |
| NI-VYC |
Computability |
4 |
| QNIE-UKT |
Introduction to Quantum Theory |
6 |
| QNI-UKT |
Introduction to Quantum Theory |
6 |