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586 search results
Course title City Start date Workload
Linear Optimization D
January 2026 5
Aalto University
<p>The simplex method and variants, duality for linear programming, interior point method, and introduction to integer programming. Applications to transportation, process industry, production planning, network design and others.</p>
Logic and Hard Computational Problems D
September 2025 5
Aalto University
<p>Propositional logic and first-order logic. Formulas, models, validity, satisfiability; axioms and proofs, soundness and completeness; logic circuits. Computational hardness, reductions between problems, the classes P and NP; NP-completeness, the

Low Temperature Physics and Cryogenics D
January 2026 5
Aalto University
<p>Behavior of matter at low temperatures; modern refrigerators and submilliKelvin apparata; ultrasensitive measurement techniques; thermometry; noise and electromagntic interference; applications of nuclear magnetic resonance at low temperatures.&l
LQG Control with Matlab
Tampere August 2025 5cr
Tampere University
Core contents· Quadratic norms of vectors, matrices, functions of time and LTI systems· Quadratic non-norm performance indices · Random variables and stochastic performance indices like variances of the system responses and other expected values· Weighted
Machine Learning for Wireless Communications D
January 2026 5
Aalto University
<p>This course consists of the following modules:</p><p>Module I: Channel Models:</p><p>Machine learning methods are data hungry and to obtain reliable results huge amount of real world measurements are needed.   This problem
Machine Learning in Biomedicine D
September 2025 5
Aalto University
<p>Machine learning is one of the key technologies in data-driven biomedicine, used in numerous tools and applications. This course probes the state of the art in selected machine learning problems and the associated methods in biomedicine, through

Machine Learning in Financial Risk Management D
January 2026 3
Aalto University
<p>Financial Risk Management with Machine Learning. Data analysis: Financial data structures, labeling, data weights.<br />Modeling: supervised and unsupervised methods (regression, classification, PCA, clustering, Bayesian methods), deep lear
Machine Vision in Production
Tampere August 2025 5cr
Tampere University
Core content· Machine vision in production automation: Typical applications (2D/3D). Typical system structures. Commonly used 2D and 3D imaging methods.· Machine vision hardware:· Different system types (PC based system, smart cameras)​· Camera types and

Magnetic and Insulation Materials in Energy Applications D
February 2026 5
Aalto University
<ul><li>Introduction about materials</li><li>Magnetic materials<ul><li>Soft magnetic materials</li><li>Soft Magnetic Composites</li><li>Permanent magnets</li></ul></li><li&gt
Magnetism and Spintronics D
September 2025 5
Aalto University
<p>Magnetism of electrons and atoms, magnetic ordering phenomena, domain theory and magnetization reversal, nanoscale magnetism, magnetization dynamics, experimental methods, applications of magnetic materials, magnetoresistance, recent topics in na