Lecture

Teaching Online Laboratories: Experiences and Practical Aspects

Related lectures (32)

Molecular Dynamics and Monte Carlo: Computational Environment

Covers the computational environment for Molecular Dynamics and Monte Carlo exercises, emphasizing theoretical understanding over coding skills.

User Personas & User Journey + Q&A with End Users

Explores User Personas, user journey, and a Q&A session with end users, emphasizing the importance of representing different user types.

Orchestration Graphs: Learning with Simulations

Explores orchestration graphs for enhancing learning with simulations and the importance of consolidating knowledge through practice.

VHDL for Simulation & Testbenches

Explores VHDL for simulation, debugging, time modeling, event-based simulation, and testbench creation in digital system design.

Optimization and Simulation

Explores statistical analysis, mean square error, and bootstrapping methods in optimization and simulation.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Digital Education & Learning Analytics

Explores digital education, online platforms, simulations, teamwork support, and emerging technologies in learning.

Optimization and Simulation

Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.

Markov Chains: Simulation and Optimization

Explores Markov chains, Metropolis-Hastings, and simulation for optimization purposes, highlighting the significance of ergodicity in efficient variable simulation.

Optimization and Simulation

Covers optimization and simulation techniques for drawing from multivariate distributions and dealing with correlations.

Neuromorphic Computing: Challenges and Future

Discusses the challenges and future of neuromorphic computing, comparing digital computers and specialized hardware, such as SpiNNaker and NEST, while exploring the Human Brain Project's Neuromorphic Computing Platform.

Finite Element Methodology

Explores finite element methodology, covering geometric modeling, technical data, physical behavior assumptions, and mesh convergence studies.