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Related lectures (32)
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Molecular Dynamics and Monte Carlo: Computational Environment
Covers the computational environment for Molecular Dynamics and Monte Carlo exercises, emphasizing theoretical understanding over coding skills.
Mobile Robotics: Autonomy and Simulation
Explores autonomy in mobile robotics, high-fidelity simulation, control architectures, and real-time emulation.
Exam Preparation: Case Study Analysis
Emphasizes metacognitive regulation in exam preparation through case study analysis.
Springs and Elastisticity
Covers simulation, modeling, acceleration profiles, natural frequencies, rigidity calculations, and anti-resonance solutions for multi-axes robots.
Theories and Approaches to Learning
Explores learning theories in project contexts to improve learning approaches and outcomes.
Constructivism
Delves into constructivism, Piaget's stages, simulations, and inquiry-based learning.
Simulation: Control of Dynamic Systems
Explores simulation of common structures and control of dynamic systems through friction and elasticity constants.
Discrete Keying Sequences: Cognitive and Neural Models
Explores cognitive and neural models of sequential motor skills, focusing on the discrete sequence production task and neural substrates.
Optimization and Simulation: Introduction to Simulation
Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.
Scientific Computing in Neuroscience
Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.
